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ORCIDIJCNN 2021: Shenzhen, China
- International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. IEEE 2021, ISBN 978-1-6654-3900-8
- Mingchao Li, Haozhuang Liu, Yang Wang, Hai-Tao Zheng:
Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions. 1-8 - Iana Sereda, Grigory V. Osipov:
How saccadic vision might help with the interpretability of deep networks. 1-7 - Shanding Ye, Han Yao, Wenfu Wang, Yongjian Fu, Zhijie Pan:
SDAPNet: End-to-End Multi-task Simultaneous Detection and Prediction Network. 1-8 - Lei Zhong, Changmin Bai, Jianfeng Li
:
Generating full-view face images from a single-view image. 1-6 - Rachit S. Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana:
TeLCoS: OnDevice Text Localization with Clustering of Script. 1-8 - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification. 1-8 - Yalan Guo, Yulei Wu, Yanchao Zhu, Bingqiang Yang, Chunjing Han:
Anomaly Detection using Distributed Log Data: A Lightweight Federated Learning Approach. 1-8 - Victor Villena-Martinez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Robert B. Fisher:
Local-Global based Deep Registration Neural Network for Rigid Alignment. 1-8 - Yao Xiao, Jingbo Peng, Luoyi Fu, Haisong Zhang:
Bag of Tricks for Chinese Named Entity Recognition. 1-8 - Yue Liu, Kai Zhu, Zitu Liu:
SSRNAS: Search Space Reduced One-shot NAS by a Recursive Attention-based Predictor with Cell Tensor-flow Diagram. 1-8 - Junrui Zhang, Yun Mo, Changzhi Chen, Xiaofeng He:
GKT-CD: Make Cognitive Diagnosis Model Enhanced by Graph-based Knowledge Tracing. 1-8 - Chandranath Adak, Xian Tao:
BigyaPAn: Deep Analysis of Old Paper Advertisement. 1-9 - Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang:
Spatio-Temporal Action Detector with Self-Attention. 1-8 - Zixuan Zhao, Zihao Zhao, Song Wang, Paul Watta, Yi Lu Murphey:
Pedestrian Re-identification using a Surround-view Fisheye Camera System. 1-8 - Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner:
A Systematic Literature Review on Transfer Learning for 3D-CNNs. 1-10 - Toshi Sinha, Brijesh K. Verma:
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. 1-6 - Xiaolu Wang, Wenyong Zhang, Xin Shen, Huikang Liu:
Joint Distribution Adaptation via Wasserstein Adversarial Training. 1-8 - Xue Jiang, Jianhui Zhao, Bo Du, Zhiyong Yuan:
Self-supervised Contrastive Learning for EEG-based Sleep Staging. 1-8 - Simon Arvidsson, Patrick Gabrielsson, Ulf Johansson:
Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. 1-7 - Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban:
Modelling working memory in neuron-astrocyte network. 1-6 - Danilo Coura Moreira, Eanes Torres Pereira, Marco Álvarez:
Improving Real Age Estimation from Apparent Age Data. 1-7 - Haoming Guo, Wei Xu, Song Qiu:
Unsupervised low-light Image Enhancement with Quality-Task-Perception Loss. 1-8 - Ke-Ming Ding, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao:
EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network. 1-8 - Scott V. Notley, Yunhui Chen, Peter D. Lee, George Panoutsos:
Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. 1-7 - Mauajama Firdaus, Arunav Pratap Shandilya, Sthita Pragyan Pujari, Asif Ekbal:
Attribute Centered Multimodal Response Generation in a Dialogue System. 1-8 - Julio Cezar Soares Silva, David L. Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho:
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. 1-7 - Shuang Yun, Bo Du, Yuren Mao:
Robust Deep Multi-task Learning Framework for Cancer Survival Analysis. 1-8 - Gianlucca L. Zuin, Felipe Marcelino, Lucas Borges, João Couto, Victor Jorge, Mychell Laurindo, Glaucio Barcelos, Márcio Cunha, Valdeci Alvarenga, Henrique Rodrigues, Paulo Balsamo, Adriano Veloso:
Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets. 1-8 - Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen:
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. 1-9 - Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos:
Structure and Randomness in Planning and Reinforcement Learning. 1-8 - Yunong Zhang, Zhenyu Li, Min Yang, Peng Yu, Ning Tan:
Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas. 1-9 - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network. 1-8 - Glenn Dawson, Robi Polikar:
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. 1-8 - Masanari Kimura, Ryohei Izawa:
Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. 1-8 - Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. 1-8 - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. 1-9 - Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. 1-7 - Wenkang Li, Ke Qi, Wenbin Chen, Yicong Zhou:
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification. 1-8 - Jinjin Guo, Binbin Qiu, Min Yang, Yunong Zhang:
Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization. 1-6 - Alessandro Salatiello, Martin A. Giese:
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. 1-8 - Fan Yu, Jiawei Guo, Wei Xi, Zhao Yang, Rui Jiang, Chao Zhang:
Audio DistilBERT: A Distilled Audio BERT for Speech Representation Learning. 1-8 - Nannan Tian, Yong Liu, Weiping Wang, Dan Meng:
Automatic CNN Compression Based on Hyper-parameter Learning. 1-8 - Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. 1-8 - Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri:
Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. 1-8 - Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang:
Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection. 1-7 - Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien:
Distributed Emergent Agreements with Deep Reinforcement Learning. 1-8 - Yoshihiro Okawa, Kenichi Kobayashi:
Concept Drift Detection via Boundary Shrinking. 1-8 - Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu:
A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control. 1-8 - Pengxiang Shi, Wenhui Yu, Yang Liu, Zheng Qin:
Dual Convolutional Neural Network for Lung Nodule Classification. 1-7 - Xuli Sun, Shiliang Sun:
Multi-view Defense with Adversarial Autoencoders. 1-7 - Yong Yang, Xiangkai Kong, Shuying Huang, Weiguo Wan, Jiaxiang Liu, Wang Zhang:
Infrared and Visible Image Fusion Based on Multiscale Network with Dual-channel Information Cross Fusion Block. 1-7 - Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Xue Zhou:
Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection. 1-8 - Jiarui Xie, Thierry Chateau, Violaine Antoine:
A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection. 1-6 - Pengju Shuai, Zixi Wei, Sishun Liu, Xiaofei Xu, Li Li:
Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension. 1-8 - Heidi Komkov, Liam Pocher, Alessandro Restelli, Brian Hunt, Daniel P. Lathrop:
RF Signal Classification using Boolean Reservoir Computing on an FPGA. 1-9 - Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li:
Coresets Application in Channel Pruning for Fast Neural Network Slimming. 1-8 - Li Tian, Liyan Ma, Zhijie Wen, Shaorong Xie, Yupeng Xu:
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading. 1-8 - Haojie Huang, Raymond K. Wong:
BiLSTM Embedding Pretraining for Relation Extraction. 1-8 - Chunwei Wu, Guitao Cao, Wenming Cao, Hong Wang, He Ren:
Debiased Prototype Network for Adversarial Domain Adaptation. 1-8 - Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. 1-8 - Ying Tian, Zerui Li, Min Liu, Kazushige Ouchi, Long Yan, Dan Zhao:
End-to-end speech recognition with Alignment RNN-Transducer. 1-5 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
Importance Reweighting for Biquality Learning. 1-8 - Bohao Zhang, Changbo Wang, Chenhui Li:
NVNet: An Enhanced Attention Network for Segmenting Neck Vascular from Ultrasound Images. 1-8 - Gusztáv Bártfai:
An Adaptive Resonance Theory-based Neural Network for Autonomous Learning via Iterative Knowledge Redescription. 1-8 - Yan Zhao, Jihong Zhu, Haoyu Liang, Lyujie Chen:
3D Object Detection on large-scale dataset. 1-7 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning: an Introduction. 1-10 - Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. 1-8 - Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang:
Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. 1-8 - Shizhen Fan, Jianbo Li, Zhiqiang Lv, Aite Zhao:
Multimodal Traffic Travel Time Prediction. 1-9 - Cristiano Cervellera, Danilo Macciò, Francesco Rebora:
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation. 1-8 - Mirko Polato:
Federated Variational Autoencoder for Collaborative Filtering. 1-8 - Patrick Sharma, Adarsh Karan Sharma, Dinesh Kumar, Anuraganand Sharma:
A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. 1-7 - Luís Gonçalves, Renato Vimieiro:
Approaching authorship attribution as a multi-view supervised learning task. 1-8 - Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng:
DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. 1-7 - Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik:
A Quantum Activation Function for Neural Networks: Proposal and Implementation. 1-8 - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. 1-8 - Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. 1-8 - Victor Henrique Alves Ribeiro, Paulo R. Cavalin, Edmilson da Silva Morais:
A Dynamic Multi-criteria Multi-engine Approach for Text Simplification. 1-8 - Kart-Leong Lim:
Deep Clustering using Dirichlet Process Gaussian Mixture. 1-7 - Supriyo Mandal, Abyayananda Maiti:
Graph Neural Networks for Heterogeneous Trust based Social Recommendation. 1-8 - Wael Alzhrani, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov:
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. 1-9 - Hangyu Deng, Jia Luo, Jinglu Hu:
Attentive Relation Network for Object based Video Games. 1-6 - Weidong Liu, Haochen Zhang, Xu Guo, Yong Han:
Graph Convolutional Network Based Patent Issue Discovery Model. 1-8 - Nishchal Prasad, Sriparna Saha, Pushpak Bhattacharyya:
A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention. 1-8 - Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. 1-8 - Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. 1-8 - Eduardo Rivas-Posada, Mario I. Chacon Murguia:
General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model. 1-8 - Lucca Portes Cavalheiro, Marco Antonio Zanata Alves, Jean Paul Barddal:
Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools. 1-6 - Sabrina S. Panceri, Filipe Wall Mutz, Vinicius B. Cardoso, Raphael V. Carneiro, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks. 1-8 - Qingyun Deng, Yinyan Zhang:
Distributed Near-Optimal Consensus of Double-Integrator Multi-Agent Systems With Input Constraints. 1-6 - Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke:
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. 1-8 - Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. 1-7 - Ruoran Huang, Chuanqi Han, Li Cui:
Tag-aware Attentional Graph Neural Networks for Personalized Tag Recommendation. 1-8 - Xiwei Liu, Yuntao Wei:
Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks. 1-7 - Jiongmin Zhang, Xing Yang, Ying Qian:
Drug-drug Interaction Prediction with Common Structural Patterns. 1-7 - Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng:
Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. 1-8 - Zheping Liu, Nasser R. Sabar, Andy Song:
Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. 1-7 - Wancheng Mo, Jianming Lv:
Cascaded Hierarchical Context-Aware Vehicle Re-Identification. 1-8 - Xiaoliu Luo, Taiping Zhang, Zhao Duan, Jin Tan:
Target-aware for Few-shot Segmentation. 1-8 - Zhiyi Zhang, Xianzhong Long, Yun Li:
Scene Image Classification Based on Improved VLAD Reprensentation. 1-8 - Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Object recognition for robotics from tactile time series data utilising different neural network architectures. 1-8 - Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. 1-7 - Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter:
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. 1-8 - Shanshan Zhang, Tiancheng Huang, Donglin Wang:
Sequence Contained Heterogeneous Graph Neural Network. 1-8 - Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis:
Audience expansion based on user browsing history. 1-8 - Yuzhong Jiao, Sha Li, Xiao Huo, Yiu Kei Li:
Synchronous Weight Quantization-Compression for Low-Bit Quantized Neural Network. 1-8 - Paolo Arena, Pierfrancesco Sueri, Salvatore Taffara, Luca Patanè:
MPC-based control strategy of a neuro-inspired quadruped robot. 1-8 - Tao Li, Qinglai Wei, Hongyang Li, Ruizhuo Song:
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System. 1-6 - Xihong Ye, Lu Lu:
CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis. 1-8 - Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun:
An Efficient Channel-level Pruning for CNNs without Fine-tuning. 1-8 - Tianbao Liang, Jianming Lv, Hualiang Li, Yuzhong Liu:
NPLP: A Noisy Pseudo-Label Processing Approach for Unsupervised Domain-Adaptive Person Re-ID. 1-8 - Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan:
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. 1-8 - Muhammad Umer, Robi Polikar:
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. 1-8 - Takato Okudo, Seiji Yamada:
Reward Shaping with Dynamic Trajectory Aggregation. 1-9 - Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang:
Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction. 1-8 - Daniel K. Park, Carsten Blank, Francesco Petruccione:
Robust quantum classifier with minimal overhead. 1-7 - Yuhong Zhang, Qi Zhang:
An Unsupervised Domain Adaptation Being Aware of Domain-specific and Label Information. 1-8 - Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao:
Quantum Convolutional Neural Network on Protein Distance Prediction. 1-8 - Yucheng Cai, Zhuowen Yin, Kailing Guo, Xiangmin Xu:
Pruning the Unimportant or Redundant Filters? Synergy Makes Better. 1-8 - Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans:
Revisiting the Onsets and Frames Model with Additive Attention. 1-8 - Luc Giffon, Stéphane Ayache, Hachem Kadri, Thierry Artières, Ronan Sicre:
PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. 1-8 - Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu:
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. 1-7 - Vahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki:
Non-divergent Imitation for Verification of Complex Learned Controllers. 1-8 - Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. 1-8 - Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning of Graph Neural Networks for Open-World Node Classification. 1-8 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces. 1-8 - Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya:
Quantifying Synchronization in a Biologically Inspired Neural Network. 1-6 - Michal Koziarski:
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. 1-8 - Akshay Shah, Bonaventure C. Molokwu, Ziad Kobti:
HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph. 1-8 - Sayantani Ghosh, Amit Konar, Atulya K. Nagar:
Decoding Subjective Creativity Skill from Visuo-Spatial Reasoning Ability Using Capsule Graph Neural Network. 1-8 - Feng Chen, Jintao Tang, Shasha Li, Xinyi Li, Ting Wang:
Looking Back and Forward: Enhancing Image Captioning with Global Semantic Guidance. 1-8 - Guanyu Lin, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Anomaly Removal for Vehicle Energy Consumption in Federated Learning. 1-8 - Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. 1-5 - Qiuhong Luo, Li Wan, Lichao Tian, Zhu Li:
Saliency Guided Discriminative Learning for Insect Pest Recognition. 1-8 - Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. 1-8 - Muhammad Saad, Mohita Chaudhary, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet:
Versatile Deep Learning Based Application for Time Series Imputation. 1-8 - Hongjie Wu, Jiancheng Lv, Jian Wang:
Automatic Cataract Detection with Multi-Task Learning. 1-8 - Yann Fabricio Cardoso de Figueiredo, Lídio Mauro Lima de Campos:
Machine Learning for Wind Power Forecasting. 1-8 - Pengxiang Shi, Wenwen Ye, Zheng Qin:
Self-Supervised Pre-training for Time Series Classification. 1-8 - Chenxiao Xu, Hao Huang, Shinjae Yoo:
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. 1-8 - Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Yanbing Jiang:
Incorporating User Preference into Multi-community and Outliers Search. 1-8 - Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. 1-8 - Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli:
Modeling Edge Features with Deep Bayesian Graph Networks. 1-8 - Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. 1-8 - Qu Yang, Jibin Wu, Haizhou Li:
Rethinking Benchmarks for Neuromorphic Learning Algorithms. 1-8 - Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi:
TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. 1-8 - Yawen Lu, Nikola K. Kasabov, Guoyu Lu:
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. 1-8 - Qifei Zhou, Hucheng Liu, Weiping Li, Tong Mo, Bo Wu:
Bilateral Autotrading Framework for Stock Prediction. 1-8 - Yue Li, Xuechun Han, Litong Ge, Fanghao Liu, Yimeng Chai, Xianchun Zhou, Wei Wang:
A Recurrent Reinforcement Learning Approach for Small Object Detection with Dynamic Refinement. 1-8 - Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu:
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. 1-8 - Ping Li, Linlin Shen, Hefei Ling, Lei Wu, Qian Wang, Chuang Zhao:
Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation. 1-8 - Tim Cofala, Thomas Teusch, Oliver Kramer:
Spatial Generation of Molecules with Transformers. 1-7 - Jingyu Sun, Susumu Takeuchi, Ikuo Yamasaki:
Prototypical Inception Network with Cross Branch Attention for Time Series Classification. 1-7 - Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva:
Quantum One-class Classification With a Distance-based Classifier. 1-7 - Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper:
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. 1-8 - Dongmei Chen, Yang Du, Shenghui Xu, Yu-e Sun, He Huang, Guoju Gao:
Online Anomalous Taxi Trajectory Detection Based on Multidimensional Criteria. 1-8 - Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu:
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media. 1-8 - Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. 1-8 - Bruno Silva Sette, Lucas Cardoso Silva, Fernando Rezende Zagatti, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Helena de Medeiros Caseli, Diego Furtado Silva:
Committee of NAS-based models. 1-8 - Haiyan Gao, Xin Tian, Yi Ji, Ying Li, Chunping Liu:
Do We Really Reduce Bias for Scene Graph Generation? 1-8 - Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya:
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. 1-8 - Andreas Munk, William Harvey, Frank Wood:
Assisting the Adversary to Improve GAN Training. 1-8 - Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao:
A Biologically Plausible Audio-Visual Integration Model for Continual Learning. 1-8 - Jingren Zhang, Jingjing Wang, Jingwei Yan, Chunmao Wang, Shiliang Pu:
Deep Spiking Neural Network for High-Accuracy and Energy-Efficient Face Action Unit Recognition. 1-7 - Soumitra Ghosh, Deeksha Varshney, Asif Ekbal, Pushpak Bhattacharyya:
Context and Knowledge Enriched Transformer Framework for Emotion Recognition in Conversations. 1-8 - Zixi Wei, Xiaofei Xu, Lijian Li, Kaixin Qin, Li Li:
Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis. 1-7 - Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. 1-8 - Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. 1-8 - Chahinez Ounoughi, Taoufik Yeferny, Sadok Ben Yahia:
ZED-TTE: Zone Embedding and Deep Neural Network based Travel Time Estimation Approach. 1-10 - Ying Wu, James J. Q. Yu:
A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification. 1-7 - Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman:
Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. 1-7 - Norman L. Tasfi, Miriam A. M. Capretz:
Dynamic Planning Networks. 1-9 - Zehua Zeng, Chenyang Tu, Neng Gao, Cong Xue, Cunqing Ma, Yiwei Shan:
CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model. 1-8 - Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas:
MusCaps: Generating Captions for Music Audio. 1-8 - Zhicheng Cai, Chenglei Peng, Sidan Du:
Jitter: Random Jittering Loss Function. 1-8 - Wei Wu, Deshuai Sun:
Attention Based Double Layer LSTM for Chinese Image Captioning. 1-7 - Xiaomeng Li, Chung-Ming Own, Kaizhen Wu, Qian Sun:
CM-Net: a point cloud upsampling network based on adversarial neural network. 1-8 - Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici:
FOOD: Fast Out-Of-Distribution Detector. 1-8 - Jen-Tzung Chien, Wei-Hsiang Chang:
Collaborative Regularization for Bidirectional Domain Mapping. 1-8 - Tiancheng Huang, Feng Zhao, Donglin Wang:
One-Shot Imitation Learning on Heterogeneous Associated Tasks via Conjugate Task Graph. 1-8 - Bartosz Swiderski, Stanislaw Osowski, Pawel Olszewski, Lukasz Gielata, Monika Slowinska, Iwona Lugowska:
Random Deep Neural Network for Melanoma Recognition. 1-7 - Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. 1-8 - Sian-Yao Huang, Wei-Ta Chu:
PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment. 1-9 - Jun He, Li Peng, Bo Sun, Lejun Yu, Meng Guo:
Dual Multi-Task Network with Bridge-Temporal-Attention for Student Emotion Recognition via Classroom Video. 1-8 - Hua Yang:
Extended Attention Mechanism for TSP Problem. 1-8 - Huijie Cheng, Yun Tie, Lin Qi, Cong Jin:
Context-Aware Based Visual-Audio Feature Fusion for Emotion Recognition. 1-8 - Dimos Makris, Kat R. Agres, Dorien Herremans:
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. 1-8 - Shamahil Ibunu, Samuel Weller, Clive Cheong Took:
A Variable Memory Length Auto Encoder. 1-4 - Longchuan Yan, Wantao Liu, Wei Jiang, Yan Li, Ruixuan Li, Songlin Hu:
Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center. 1-9 - Kai Chen, Ye Wang, Aiping Li, Chenchen Li, Xiaojuan Zhao, Ruidong Ding:
Learning Knowledge Graph Embedding in Semantic Space: A Novel Bi-linear Semantic Matching Method. 1-8 - Kanchan Jha, Sriparna Saha, Snehanshu Saha:
Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. 1-8 - Donghang Chen, Xiang Zhang, Ran Tian, Yingqi Tang, Yujie Hu, Shaozhi Wu:
Online Multi-Object Tracking with United Siamese Network and Candidate-Refreshing Model. 1-8 - Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou:
Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder. 1-8 - Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim:
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. 1-8 - Salman Sadiq Shuvo, Md Rubel Ahmed, Hasan Symum, Yasin Yilmaz:
Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning. 1-7 - Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. 1-8 - Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. 1-7 - Kai Wong, Jingqiang Chen:
A News Image Locating Approach Based on Cross-Modal RNN with An Encoding Updating Mechanism. 1-7 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Deep-Attention Model to Analyze Reliable Customers via Federated Learning. 1-7 - Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. 1-7 - Yulun Wu, Yanming Guo, Jian Li, Songyang Lao, Jinlin Guo, Haoran Wang:
DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder. 1-10 - Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Contrastive Learning for improving End-to-end Speaker Verification. 1-7 - Rafal Grycuk, Rafal Scherer:
Solar Image Hashing by Intermediate Descriptor and Autoencoder. 1-8 - Felix Wiewel, Bin Yang:
Condensed Composite Memory Continual Learning. 1-8 - Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong:
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. 1-7 - Zixun Guo, Dimos Makris, Dorien Herremans:
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. 1-8 - Xin Ji, Wen Zhao:
SKGSUM: Abstractive Document Summarization with Semantic Knowledge Graphs. 1-8 - Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images. 1-9 - Anshun Xue, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Diversified Point Cloud Classification Using Personalized Federated Learning. 1-8 - Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani:
Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. 1-8 - Rui Yu, Wenpeng Lu, Yifeng Li, Jiguo Yu, Guoqiang Zhang, Xu Zhang:
Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation. 1-8 - Haoran Tang, Changwei Xu, Jianfei Yang:
Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. 1-8 - Chuangfeng Li, Guangming Shen, Wei Sun:
Cross-Architecture Intemet-of-Things Malware Detection Based on Graph Neural Network. 1-7 - Huichao Wang, Wei Yang, Bangzhou Xin, Yangyang Geng, Zhenbo Shi, Liusheng Huang:
Private FLI: Anti-Gradient Leakage Recovery Data Privacy Architecture. 1-7 - Zhengqi Zhang, Li Zhang, Zhao Zhang:
Fisher-regularized Support Vector Machine with Pinball Loss Function. 1-8 - Wei Pan, Tianyuan Liu, Wentao Zhang, Yuqing Sun:
Learning New Word Semantics with Conceptual Text. 1-8 - Wenkun Li, Hui Di, Lina Wang, Kazushige Ouchi, Jing Lu:
Boost Transformer with BERT and copying mechanism for ASR error correction. 1-6 - Jinghua Gao, Qichuan Yang, Yang Zhang, Liuxin Zhang, Siyun Wang:
A Bi-modal Automated Essay Scoring System for Handwritten Essays. 1-8 - Ming-Fan Li, Kaijie Zhou, Xuan Li, Jianping Shen:
Aspect-Based Sentiment Classification with Background Information and Syntactic Auxiliary Tasks. 1-8 - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Semi-supervised Anomaly Detection on Attributed Graphs. 1-8 - Brijraj Singh, Yash Jain, Mayukh Das, Praveen Doreswamy Naidu:
A Framework for Asymmetrical DNN Modularization for Optimal Loading. 1-8 - Christoper Wulur, Cornelius Weber, Stefan Wermter:
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. 1-8 - Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou:
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. 1-8 - Ruowang Chang, Qiong Song, Yuehuan Wang:
RGNET: A Two-stage Low-light Image Enhancement Network Without Paired Supervision. 1-7 - Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho:
Gender-based approach to estimate the human body fat percentage using Machine Learning. 1-8 - Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman:
Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. 1-8 - Loïc Cordone, Benoît Miramond, Sonia Ferrante:
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. 1-8 - Alexandros Stergiou, Ronald Poppe:
Multi-Temporal Convolutions for Human Action Recognition in Videos. 1-9 - Kai Chen, Chenchen Li, Aiping Li, Jingsheng Gao, Sixia Ma:
Focus on Inherent Attributes for Temporal Knowledge Graph Completion. 1-8 - Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu:
An Efficient Bayesian Neural Network for Multiple Data Streams. 1-8 - Liangbing Sa, Chongchong Yu, Ziyan Chen, Xia Zhao, Yafeng Yang:
Attention and Adaptive Bilinear Matching Network for Cross-Domain Few-Shot Defect Classification of Industrial Parts. 1-8 - Lei Xu, Wu-Dong Xi, Chang-Dong Wang:
Session-based Recommendation with Heterogeneous Graph Neural Networks. 1-8 - Mourad El Hamri, Younès Bennani, Issam Falih:
Label Propagation Through Optimal Transport. 1-8 - Bin Hu, Tianming Zhao, Yucheng Xie, Yan Wang, Xiaonan Guo, Jerry Cheng, Yingying Chen:
MIXP: Efficient Deep Neural Networks Pruning for Further FLOPs Compression via Neuron Bond. 1-8 - Kaixin Huang, Chengchuang Lin, Runhua Huang, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Chun Shan, Ruihua Nie, Shuangyin Li:
A novel chromosome instance segmentation method based on geometry and deep learning. 1-8 - Qin Deng, Mu Lin, Zhongcai Qiu, Xinyu Tang, Zhipeng Zhou, Kun Yang:
Research on Inversion Algorithm of the Power Transmission Corridor Information Based on Radar Ranging. 1-7 - Tulika Saha, Neeti Priya, Sriparna Saha, Pushpak Bhattacharyya:
A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling. 1-8 - Paulo Henrique Lima de Paula, Liang Zhao:
A New Particle Competition Model for Community Detection with Application in Functional Brain Networks. 1-8 - Zhenxing Zhang, Lambert Schomaker:
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation. 1-8 - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. 1-8 - Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. 1-8 - Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Transfer Learning Application for Berries Yield Forecasting using Deep Learning. 1-8 - Yiwen Liao, Raphaël Latty, Bin Yang:
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. 1-9 - M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Co-Trained Random Vector Functional Link Network. 1-8 - Yongquan Xie, Zhengru Li, Tian Qin, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey:
Personalized Session-Based Recommendation Using Graph Attention Networks. 1-8 - Na Meng, Zijian Jiang, Hao Zhong:
Classifying Code Commits with Convolutional Neural Networks. 1-8 - Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong:
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. 1-8 - Yuanzhong Zhang, Jun Lu, Shuxuan Feng:
Target detection based on Parameter Derived Network. 1-8 - Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong:
Towards Feature-free TSP Solver Selection: A Deep Learning Approach. 1-8 - Manar D. Samad, Rahim Hossain, Khan M. Iftekharuddin:
Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. 1-7 - Shigeo Abe:
Soft Upper-bound Minimal Complexity LP SVMs. 1-7 - Piotr Kicki, Piotr Skrzypczynski, Mete Ozay:
A New Approach to Design Symmetry Invariant Neural Networks. 1-8 - Micheal Dutt, Morten Goodwin, Christian W. Omlin:
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. 1-7 - Jie Lu, Gaopeng Gou, Majing Su, Dong Song, Chang Liu, Chen Yang, Yangyang Guan:
GAP-WF: Graph Attention Pooling Network for Fine-grained SSL/TLS Website Fingerprinting. 1-8 - Patrick Klein, Niklas Weingarz, Ralph Bergmann:
Using Expert Knowledge for Masking Irrelevant Data Streams in Siamese Networks for the Detection and Prediction of Faults. 1-10 - Jakub Walczak, Patryk Najgebauer, Rafal Scherer, Adam Wojciechowski:
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification. 1-8 - Nannan Tian, Yong Liu, Weiping Wang, Dan Meng:
Fast CNN Inference by Adaptive Sparse Matrix Decomposition. 1-8 - Cyrus Vahidi, Charalampos Saitis, György Fazekas:
A Modulation Front-End for Music Audio Tagging. 1-7 - Dominik Dold, Josep Soler Garrido:
SpikE: spike-based embeddings for multi-relational graph data. 1-8 - João Reis, Truong Khoa Phan, Morteza Kheirkhah, Fan Yang, David Griffin, Miguel Rocha, Miguel Rio:
R2L: Routing With Reinforcement Learning. 1-7 - Hemeng Tao, Yang Gao, Zhuoyi Wang, Latifur Khan, Bhavani Thuraisingham:
An Episodic Learning based Geolocation Detection Framework for Imbalanced Data. 1-8 - Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
Linear Program Powered Attack. 1-8 - Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro:
An AutoML-based Approach to Multimodal Image Sentiment Analysis. 1-9 - Dhaifallah Alghamdi, Faris Alotaibi, Jayant Rajgopal:
A Novel Hybrid Deep Learning Model For Stock Price Forecasting. 1-8 - Wenjing Yang, Yuhong Yang:
A Stabilized Dense Network Approach for High-Dimensional Prediction. 1-8 - Shaomin Zheng, Meng Yang, Yongjie Huang, Peiqin Lin:
Utilization of Question Categories in Multi-Document Machine Reading Comprehension. 1-8 - Cairong Yan, Shuai Liu, Yanting Zhang, Zijian Wang, Pengwei Wang:
A Multi-Task Learning Approach for Recommendation based on Knowledge Graph. 1-8 - Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? 1-8 - Juyang Weng:
On Post Selection Using Test Sets (PSUTS) in AI. 1-8 - Julio A. Flórez, Edgar N. Sánchez, Alexander G. Loukianov, Carlos J. Vega:
Synchronization of complex networks in discrete-time for trajectory tracking using neural sliding modes with pinning control. 1-8 - Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Deep Recurrent Interpolation Networks for Anomalous Sound Detection. 1-7 - Ziyu Yao, Jiaquan Gao:
Adversarial Example Defense Based on the Supervision. 1-8 - Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
LABELNET: Recovering Noisy Labels. 1-8 - Sumu Zhao, Damián Pascual, Gino Brunner, Roger Wattenhofer:
Of Non-Linearity and Commutativity in BERT. 1-8 - Matthew Amodio, Smita Krishnaswamy:
Noise Space Optimization for GANs. 1-8 - John Alejandro Castro-Vargas, Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Sergio Orts-Escolano, José García Rodríguez:
Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds. 1-6 - Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP Technique. 1-8 - Daniel I. Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Context encoder self-supervised approaches for eye fundus analysis. 1-8 - Fangwei Hao, Xindi Ma, Taiping Zhang, Yuanyan Tang:
Channel Hourglass Residual Network For Single Image Super-Resolution. 1-8 - Xia Yuan, Jian Dong, Meng Wang:
Binary MOGWO Based On Competition and Teaching for Computationally Complex Engineering Applications. 1-8 - Yaping Zhao, Xiuqing Wang, Ruiyi Wang, Yunpeng Yang, Feng Lv:
Path Planning for Mobile Robots Based on TPR-DDPG. 1-8 - Qi Yang, Ruixuan Li, Yuhua Li, Xiwu Gu:
Word Sense Disambiguation based on Sequence Topic Model using sense dependency. 1-8 - Juan Zhao, Fuhao Zou, Ruixuan Li, Yufei Li, Kai Li:
Efficient Resolution-preserving Network for Real-time Semantic Segmentation. 1-8 - Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. 1-8 - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchronous Decentralized Learning of Randomization-Based Neural Networks. 1-8 - Hangjun Yang, Linsen Li, Lingxuan Zhang, Junhua Tang, Zhongwei Chen:
PHGNN: Position-aware Graph Neural Network for Heterogeneous Graph Embedding. 1-8 - Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. 1-8 - Mengqiu Yao, Liqiang Song, Ye Bi, Wei Wang, Kun Deng, Jianming Wang, Jing Xiao, Xiaoyun Lin, Zhaojun Gui:
ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation. 1-8 - Baopu Li, Yanwen Fan, Zhihong Pan, Zhiyu Cheng, Gang Zhang:
Cursor-based Adaptive Quantization for Deep Convolutional Neural Network. 1-8 - Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun:
An efficient image to column algorithm for convolutional neural networks. 1-8 - Dimitri Demergis:
Comparative Analysis of Machine Learning Techniques for Island Heightmap Generation. 1-8 - Biao Hou, Junxing Zhang:
Real-time Surveillance Video Salient Object Detection Using Collaborative Cloud-Edge Deep Reinforcement Learning. 1-8 - Paul Wimmer, Jens Mehnert, Alexandru Condurache:
COPS: Controlled Pruning Before Training Starts. 1-8 - Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical disentangled representation learning for singing voice conversion. 1-7 - Kalliopi Basioti, George V. Moustakides:
Generative Adversarial Networks: A Likelihood Ratio Approach. 1-8 - Weifeng Sun, Shumiao Yu, Boxiang Dong:
VDGAN: A Collaborative Filtering Framework Based on Variational Denoising with GANs. 1-8 - Mabel Frias Dominguez, Gonzalo Nápoles, Koen Vanhoof, Yaima Filiberto, Rafael Bello:
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. 1-9 - Cheng Yi, Jianzong Wang, Ning Cheng, Shiyu Zhou, Bo Xu:
Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition. 1-6 - Zhifan Wang, Xiaohong Zhang, Shidong Wang, Tong Xin, Haofeng Zhang, Jianfeng Lu:
Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection. 1-8 - Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia:
D2Defend: Dual-Domain based Defense against Adversarial Examples. 1-8 - Zhuangqi Chen, Pingjian Zhang:
A Light-weighted One-stage Framework for Speech Enhancement. 1-8 - Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
Zero-Shot Learning with Missing Attributes using Semantic Correlations. 1-7 - Zhilei Liu, Yunpeng Wu, Cuicui Zhang:
Multi-scale Feature Relation Modeling for Facial Expression Restoration. 1-7 - Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning:
Costly Features Classification using Monte Carlo Tree Search. 1-8 - Caio J. B. V. Guimarães, Matheus F. Torquato, Marcelo A. C. Fernandes:
Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory. 1-6 - Gang Wu, Zhuo Zhou, Zhenhua Guo:
A Robust Method with DropBlock for Face Anti-Spoofing. 1-8 - Wang Pan, Qipu Deng, Jiadong Li, Zhi Wang, Wenwu Zhu:
STSIR: A Spatial Temporal Pandemic Model with Mobility Data - A COVID-19 Study. 1-8 - Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán:
Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. 1-8 - Runpeng Cui, Jianqiang Wang, Zheng Wang:
Multiplicative Attention Mechanism for Multi-horizon Time Series Forecasting. 1-6 - Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. 1-7 - Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Mayamin Hamid Raha, Mohammad Ashrafuzzaman Khan:
UUCT - HyMP: Towards Tracking Dispersed Crowd Groups from UAVs. 1-8 - Bogdan Gulowaty, Michal Wozniak:
Extracting Interpretable Decision Tree Ensemble from Random Forest. 1-8 - Marko Zeman, Evgeny Osipov, Zoran Bosnic:
Compressed Superposition of Neural Networks for Deep Learning in Edge Computing. 1-8 - Carlos Francisco Moreno-García, Chrisina Jayne, Eyad Elyan:
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. 1-7 - Ruiyang Yang, Hongyin Tang, Beihong Jin, Kunchi Liu:
Columba: A New Approach to Train an Agent for Autonomous Driving. 1-8 - Steven Whitaker, Zach Dekraker, Andrew Barnard, Timothy C. Havens, George D. Anderson:
Uncertain Inference Using Ordinal Classification in Deep Networks for Acoustic Localization. 1-8 - Pongpisit Thanasutives, Masayuki Numao, Ken-ichi Fukui:
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. 1-9 - Snigdhaswin Kar, Prabodh Mishra, Ju Lin, Minjae Woo, Nicholas Deas, Caleb Linduff, Sufeng Niu, Yuzhe Yang, Jerome McClendon, D. Hudson Smith, Melissa C. Smith, Ronald W. Gimbel, Kuang-Ching Wang:
Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments. 1-8 - Murillo G. Carneiro, Barbara C. Gama, Otavio S. Ribeiro:
Complex Network Measures for Data Classification. 1-8 - Shangrong Huang, Quanyu Ma, Chao Yang, Yazhou Yao:
Link Prediction with Multiple Structural Attentions in Multiplex Networks. 1-9 - Huabin Li, Pingjian Zhang:
Spatio-Temporal Fusion Network for Video Super-Resolution. 1-9 - Volodimir Begy, Erich Schikuta:
Error-Guided Likelihood-Free MCMC. 1-7 - Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü:
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. 1-8 - Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet:
Convolutional Normalizing Flows for Deep Gaussian Processes. 1-6 - Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li:
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. 1-9 - Do Bao Son, Vu Tri An, Trinh Thu Hai, Binh Minh Nguyen, Nguyen Phi Le, Huynh Thi Thanh Binh:
Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing. 1-8 - Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. 1-8 - Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust Neural Regression via Uncertainty Learning. 1-6 - Ning Pan, Wenbin Yao, Xiaoyong Li:
Friends Recommendation Based on KBERT-CNN Text Classification Model. 1-6 - Atish Kumar Dipongkor, Md. Saiful Islam, Humayun Kayesh, Md. Shafaeat Hossain, Adnan Anwar, Khandaker Abir Rahman, Imran Razzak:
DAAB: Deep Authorship Attribution in Bengali. 1-9 - Lequan Chen, Wei Xie, Zhigang Tu, Jinglei Guo, Yaping Tao, Xinming Wang:
Multi-Attribute Enhancement Network for Person Search. 1-8 - Degang Sun, Yunting Guo, Min Yu, Gang Li, Chao Liu, Jianguo Jiang, Weiqing Huang:
FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching. 1-8 - Yanjing Yang, Min Gao, Yuerang Li, Fan Wu, Jia Wang, Quanwu Zhao:
MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning. 1-8 - Zilin Yu, Chao Wang, Xin Wang, Yong Zhao, Xundong Wu:
Intragroup sparsity for efficient inference. 1-8 - Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. 1-8 - Yinghui Zhang, Chun Liu, Bo Sun, Jun He, Lejun Yu:
NIR-VIS Heterogeneous Face Synthesis via Enhanced Asymmetric CycleGAN. 1-8 - Yujiang He, Zhixin Huang, Bernhard Sick:
Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. 1-8 - Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia:
Sequence Metric Learning as Synchronization of Recurrent Neural Networks. 1-8 - Zongkai Wu, Zihan Liu, Donglin Wang:
Multi-Grounding Navigator for Self-Supervised Vision-and-Language Navigation. 1-8 - Bo You, Ge Yang:
Attention-based LSTM for Motion Switching Detection of Particles in Living Cells. 1-6 - Weifeng Sun, Lijun Zhang, Kangkang Chang, Shumiao Yu:
DSMN: A Personalized Information Retrieval Algorithm Based on Improved DSSM. 1-7 - Qian Wang, Toby P. Breckon:
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. 1-8 - Rafael C. Pinto:
Fast Reinforcement Learning with Incremental Gaussian Mixture Models. 1-8 - Fengrui Liu, Haiyang Jiang, Zulong Diao, Yanbiao Li, Gaogang Xie:
CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data. 1-8 - Jingyi Wang, Zhidong Deng:
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification. 1-8 - István Megyeri, István Hegedüs, Márk Jelasity:
Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. 1-8 - Zhiwei Xu, Dapeng Li, Yunpeng Bai, Guoliang Fan:
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning. 1-7 - Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
Boosting Emotion Recognition in Context using Non-target Subject Information. 1-7 - Xinyi Wang, Tianxiang Hu, Xingzhang Ren, Jinan Sun, Kai Liu, Minghui Zhang:
TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement. 1-8 - Yong Liu, Yiming Li, Andy Song, Lin Shang:
Multi-granularity Pose Fusion Network with Views for Person Re-identification. 1-8 - Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel:
Concept Matching for Low-Resource Classification. 1-8 - Xinxing Shi, Jialin Chen, Lingli Wang:
Heuristic Search for Activation Functions of Neural Networks Based on Gaussian Processes. 1-8 - João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters:
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. 1-10 - Chenxiang Ma, Junhai Xu, Qiang Yu:
A Deep Spike Learning through Critical Time Points. 1-8 - Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho:
Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. 1-7 - Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma:
ARGO: Modeling Heterogeneity in E-commerce Recommendation. 1-8 - Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. 1-8 - Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu:
Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. 1-8 - Rajeshreddy Datla, Vishnu Chalavadi, Krishna Mohan C:
Scene Classification in Remote Sensing Images using Dynamic Kernels. 1-8 - Jesús García Fernández, Valerio Fortunati, Siamak Mehrkanoon:
Exploring automatic liver tumor segmentation using deep learning. 1-8 - Kaveh Mahdavi, Jesús Labarta Mancho, Judit Giménez Lucas:
Organization Component Analysis: The method for extracting insights from the shape of cluster. 1-10 - Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. 1-8 - Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma:
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. 1-8 - Prasun Chandra Tripathi, Soumen Bag:
A Dilated Convolution-based Denoising Network for Magnetic Resonance Images. 1-8 - Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. 1-8 - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. 1-8 - Adel Abusitta, Omar Abdel Wahab, Benjamin C. M. Fung:
VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping. 1-6 - Ankita Singh, Shayok Chakraborty:
Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. 1-8 - Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. 1-8 - Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita:
Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. 1-10 - Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Lei Qin, Bo Xu:
Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training. 1-8 - Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. 1-8 - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. 1-9 - Zhongjie Li, Gaoyan Zhang, Jianwu Dang, Longbiao Wang, Jianguo Wei:
Multi-Modal Emotion Recognition Based On deep Learning Of EEG And Audio Signals. 1-6 - (Withdrawn) Cascade Network with Boundary-Adaptive Filter for Surgical Gesture Recognition. 1-8
- Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao:
Triplet Angular Loss for Pose-Robust Face Recognition. 1-8 - Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao:
CACnet: Cube Attentional CNN for Automatic Speech Recognition. 1-7 - Anísio Lacerda, Gisele L. Pappa:
Deep Thompson Sampling for Length of Stay Prediction. 1-7 - Junyou Zhu, Zheng Luo, Fan Zhang, Haiqiang Wang, Jiaxin Wang, Chao Gao:
Unsupervised Dynamic Network Embedding Using Global Information. 1-8 - Ahmed Abo Eitta, Toka Barabash, Yousef Nafea, Walid Gomaa:
Automatic Detection of Violence in Video Scenes. 1-8 - Amrutha Ramanathan, James McDermott:
Fall detection with accelerometer data using Residual Networks adapted to multi-variate time series classification. 1-8 - Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt:
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. 1-8 - Wenxuan Hou, Longjun Liu, Jinxia Gao, Anguo Zhu, Keyang Pan, Hongbin Sun, Nanning Zheng:
Exploring Effective DNN Models for Forensic Age Estimation based on Panoramic Radiograph Images. 1-8 - Weiyuan Zeng, Cong Liu:
Improving Lexical-Constraint-Aware Machine Translation by Factoring Encoders. 1-6 - Zijun Yu, Jian Yin, Qiang Zhang, Wenming Yang, Jing-Hao Xue, Qingmin Liao:
Hourglass Face Detector for Hard Face. 1-8 - Le Thai Linh, Minh-Tien Nguyen, Guido Zuccon, Gianluca Demartini:
Loss-based Active Learning for Named Entity Recognition. 1-8 - Juan Xu, Mengting Fang, Weihua Zhao, Yuqi Fan, Xu Ding:
Deep Transfer Learning Remaining Useful Life Prediction of Different Bearings. 1-8 - Nier Wu, Hongxu Hou, Shuo Sun, Wei Zheng:
Low-Resource Neural Machine Translation with Neural Episodic Control. 1-7 - Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran:
Fruit classification using deep feature maps in the presence of deceptive similar classes. 1-6 - Huihong Shi, Wendong Mao, Zhongfeng Wang:
LITNet: A Light-weight Image Transform Net for Image Style Transfer. 1-8 - Qinbing Fu, Jigen Peng, Shigang Yue:
Bioinspired Contrast Vision Computation for Robust Motion Estimation Against Natural Signals. 1-8 - Yuchen Liu, Kaixiang Yang, Zhiwen Yu, Zhulin Liu, Yifan Shi, C. L. Philip Chen:
Pruning Broad Learning System based on Adaptive Feature Evolution. 1-9 - Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering:
Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. 1-7 - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. 1-7 - Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene:
Noise tolerant ternary weight deep neural networks for analog in-memory inference. 1-8 - Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. 1-8 - Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia:
Attribute Structured Knowledge Distillation. 1-8 - Mumeng Bo, Meihui Zhang:
Learning Dynamic Coherence with Graph Attention Network for Biomedical Entity Linking. 1-8 - Yago N. Araújo, Karliane M. O. Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto, Arthur Costa Gorgônio, Cephas A. S. Barreto:
A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm. 1-8 - Bin Zhu, Zhaoquan Gu, Yushun Xie, Danni Wu, Yaguan Qian, Le Wang:
Word-Level Textual Adversarial Attack in the Embedding Space. 1-8 - Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières:
Implicit Regularization in Deep Tensor Factorization. 1-8 - Mohammed Baydoun, Hassan Ghaziri:
A Novel Feature Importance Based Layer to Improve Neural Networks. 1-8 - Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao:
Interpreting Node Embedding with Text-labeled Graphs. 1-8 - Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao:
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. 1-6 - Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi:
Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting. 1-8 - Yuanlin Li, Xiao Sun, Meng Wang:
Embedding Extra Knowledge and A Dependency Tree Based on A Graph Attention Network for Aspect-based Sentiment Analysis. 1-8 - Luca Brunese, Francesco Mercaldo, Antonella Santone, Giuseppe Peter Vanoli:
Thermal Ablation Treatment Detection by means of Machine Learning. 1-6 - Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak:
Learning 2-opt Local Search from Heuristics as Expert Demonstrations. 1-8 - Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka:
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. 1-8 - Jinteng Ruan, Haopeng Chen, Ziming Wang, Shuyu Chen:
DS-TAGCN: A Dual-Stream Topology Attentive GCN for Node Classification in Dynamic Graphs. 1-7 - Giorgio Morales, John Sheppard, Riley D. Logan, Joseph A. Shaw:
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks. 1-8 - Zhengyi Wang, Xupeng Wang, Ferdous Sohel, Yong Liao:
PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with $L_{0}$ Regularization. 1-7 - Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte:
Dynamically Selected Ensemble for Data Stream Classification. 1-7 - Jinkun Guo, Rongfang Wang, Zhiguo Zhou, Kai Wang, Rongbin Xu, Jing Wang:
Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer. 1-7 - Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. 1-8 - Thao Do, Daeyoung Kim:
Quick Browser: A Unified Model to Detect and Read Simple Object in Real-time. 1-8 - Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. 1-8 - Shiwei Xiao, Yuchun Fang, Lan Ni:
Multi-modal Sign Language Recognition with Enhanced Spatiotemporal Representation. 1-8 - Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue:
Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data. 1-7 - Krzysztof Patan, Maciej Patan:
Neural-network-based nonlinear iterative learning control: Magnetic brake study. 1-7 - Giuseppe Canonaco, Alex Bergamasco, Alessio Mongelluzzo, Manuel Roveri:
Adaptive Federated Learning in Presence of Concept Drift. 1-7 - Shuai Ma, Jian-Wei Liu, Xin Zuo, Weimin Li:
Heterogeneous Graph Gated Attention Network. 1-6 - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. 1-8 - Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. 1-7 - Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering With Unsupervised Representation Learning. 1-9 - Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali:
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation. 1-8 - Jinfu Lin, Junmin Shen, Xiaojian He:
Gaussian Prototype Rectification For Few-shot Image Recognition. 1-8 - Johannes Villmow, Adrian Ulges, Ulrich Schwanecke:
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. 1-10 - Tana Wang, Yaqing Hou, Dongsheng Zhou, Qiang Zhang:
A Contextual Attention Network for Multimodal Emotion Recognition in Conversation. 1-7 - Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. 1-8 - Wenjie Wang, Minghua Zhu:
An Efficient and Low-Cost FPGAs-Accelerated CNN-Based Edge Intelligent Garbage Classification System on ZYNQ. 1-8 - Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel:
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. 1-8 - Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda:
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. 1-7 - Youzhuo Wang, Wenzhe Zhao, Tian Xia, Nanning Zheng, Pengju Ren:
Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation. 1-6 - Tej Pratap G. V. S. L., Raja Kumar, N. S. Pradeep:
Hybrid and non-uniform quantization methods using retro synthesis data for efficient inference. 1-8 - Xiaohu Du, Jie Yu, Shasha Li, Zibo Yi, Hai Liu, Jun Ma:
Combating Word-level Adversarial Text with Robust Adversarial Training. 1-8 - Wenrui Zhang, Peng Li:
Spiking Neural Networks with Laterally-Inhibited Self-Recurrent Units. 1-8 - Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang:
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. 1-8 - Leon Amadeus Varga, Jan Makowski, Andreas Zell:
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning. 1-8 - Jie Liu, Jianzong Wang, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices. 1-8 - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. 1-8 - Jicheng Li, Yang Feng, Jiao Ou:
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer. 1-8 - Aditi Jaiswal, Zeeshan Amjad, Suraj Jha, Nikhil Sahni, Vaisakh Punnekkattu Chirayil S. B, Renju C. Nair:
Accurate Device Temperature Forecasting using Recurrent Neural Network for Smartphone Thermal Management. 1-8 - Gurinder Singh, Puneet Goyal:
GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks. 1-8 - Wei Shang, Chong Feng, Tianfu Zhang, Da Xu:
Guiding Neural Machine Translation with Retrieved Translation Template. 1-7 - Hengzhe Zhang, Aimin Zhou:
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. 1-8 - Vladimir Fanaskov:
Neural Multigrid Architectures. 1-8 - Zihao Huang, Chao Li, Feng Duan, Qibin Zhao:
Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer. 1-8 - Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. 1-10 - Mengfei Zhang, Cheng Guo, Jiaqi Jin, Mao Pan, Jinyun Fang:
Sequential Recommendation with Context-Aware Collaborative Graph Attention Networks. 1-8 - Yang Qu, Ming-Xi Wang:
The Option Pricing Model Based on Time Values: An Application of the Universal Approximation Theory on Unbounded Domains. 1-8 - Yangzi Guo, Yiyuan She, Adrian Barbu:
Network Pruning via Annealing and Direct Sparsity Control. 1-8 - Ishwar Venugopal, Jessica Töllich, Michael Fairbank, Ansgar Scherp:
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. 1-8 - Davide Bacciu, Marco Podda:
Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. 1-8 - Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. 1-8 - Alexander Gepperth, Benedikt Pfülb:
Image Modeling with Deep Convolutional Gaussian Mixture Models. 1-9 - Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella:
A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. 1-7 - Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty:
Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. 1-8 - Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. 1-8 - Jue Wang, Shaoli Huang, Dacheng Tao:
Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields. 1-7 - Linzi Wang, Riheng Yao, Qiudan Li, Xina Zhang, Hejing Liu:
A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection. 1-8 - Alperen Tercan, Charles W. Anderson:
Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. 1-8 - Jianhui Zhao, Saifeng Feng, Jing Yang, Zhiyong Yuan, Wenyuan Zhao, Tingbao Zhang:
Noisy Mammogram Classification Method Based on New Weighted Fusion Framework. 1-8 - Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang:
Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. 1-8 - Zhenchang Xia, Jinxing Wu, Libing Wu, Jichao Yuan, Jingzhi Zhang, Jianxin Li, Dan Wu:
RLCC: Practical Learning-based Congestion Control for the Internet. 1-8 - Zhi Xu, Jun Wang, Jian Pu:
Defense against Adversarial Attacks with an Induced Class. 1-8 - Mantas Mikaitis:
Stochastic Rounding: Algorithms and Hardware Accelerator. 1-6 - Chenrui Zhang, Yinan Ma, Jing Wu, Chengnian Long:
HCov: A Target Attention-based Filter Pruning with Retaining High-Covariance Feature Map. 1-8 - Candong Rong, Gaopeng Gou, Chengshang Hou, Zhen Li, Gang Xiong, Li Guo:
UMVD-FSL: Unseen Malware Variants Detection Using Few-Shot Learning. 1-8 - David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo:
Learning distant cause and effect using only local and immediate credit assignment. 1-9 - Yaru Li, Yulai Zhang, Gongxue Zhou, Yifei Gong:
Bayesian Optimization with Particle Swarm. 1-6 - Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert:
Learning Sparsity of Representations with Discrete Latent Variables. 1-9 - Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung:
Distribution-based Adversarial Filter Feature Selection against Evasion Attack. 1-8 - Xiaoyi Chen, Ni Zhang:
Model Performance Inspection of Deep Neural Networks by Decomposing Bayesian Uncertainty Estimates. 1-8 - Yage Wang, Wei Huang, Jinsong Wang:
Redefined Fuzzy Min-Max Neural Network. 1-8 - Samuel Hess, Gregory Ditzler:
OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. 1-8 - Qixuan Sun, Yaqi Yin, Hong Yu:
A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. 1-8 - Zongzhao Xie, Wenbin Hu:
Social Trust Network Embedding with Hash and Graphlet. 1-8 - Ilia Sucholutsky, Matthias Schonlau:
Soft-Label Dataset Distillation and Text Dataset Distillation. 1-8 - Zong-Yuan Li, Junwei Bao, Bo Han:
Improving Multi-Category Sentiment Classification by Semantic Dual-Granularity and Syntax-Path Encoding. 1-8 - Mingyuan Bai, Qibin Zhao, Junbin Gao:
Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. 1-8 - Vera Kumová, Martin Pilát:
Beating White-Box Defenses with Black-Box Attacks. 1-8 - Sebastian Cygert, Andrzej Czyzewski:
Robustness in Compressed Neural Networks for Object Detection. 1-8 - Xinping Wang, Liangyu Chen, Tong Wang, Mingang Chen, Min Zhang:
An Efficient Method to Measure Robustness of ReLU-Based Classifiers via Search Space Pruning. 1-8 - Khuong N. Nguyen, Yoonsuck Choe:
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. 1-8 - Hongxu Nie, Min Dong, Sheng Bi:
Vision-and-Dialog Navigation by Fusing Cross-modal features. 1-8 - Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida:
Constraining Logits by Bounded Function for Adversarial Robustness. 1-8 - Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali:
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck. 1-8 - Yue Gao, Qinliang Su:
Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. 1-8 - Yurong Zhong, Xin Luo:
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. 1-8 - Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network. 1-7 - Zhiyue Liu, Jiahai Wang:
A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation. 1-8 - Antonio García Díaz, Hugues Bersini:
DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel. 1-10 - Songyu Chang, Canlong Zhang, Zhixin Li:
Batch Part-mask Network for person re-identification. 1-8 - Mingjian Guang, Chungang Yan, Junli Wang, Hongda Qi, Changjun Jiang:
Benchmark Datasets for Stochastic Petri Net Learning. 1-8 - Abbas Raza Ali, Marcin Budka:
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. 1-8 - Joohi Chauhan, Puneet Goyal:
A Multi-path CNN for Automated Skin Lesion Segmentation. 1-9 - Qiao Jiang, Shuo Zhang, Jiayuan Chen, Xiaofei Chen, Hejiao Huang, Chonglin Gu:
Adaptive Dila-DenseNet for Image based Time Series Classification in IoT. 1-8 - Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino:
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. 1-8 - Kishor Datta Gupta, Dipankar Dasgupta:
Using Negative Detectors for Identifying Adversarial Data Manipulation in Machine Learning. 1-8 - Maryam Savari, Yoonsuck Choe:
Online Virtual Training in Soft Actor-Critic for Autonomous Driving. 1-8 - Andrey de Aguiar Salvi, Rodrigo C. Barros:
Model Compression in Object Detection. 1-8 - Cheng Yi, Jianzong Wang, Ning Cheng, Shiyu Zhou, Bo Xu:
A Language Model Based Pseudo-Sample Deliberation for Semi-supervised Speech Recognition. 1-6 - Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. 1-10 - Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Prior Probability Estimation in Dynamically Imbalanced Data Streams. 1-7 - Shih-Hsuan Chiu, Tien-Hong Lo, Berlin Chen:
Cross-sentence Neural Language Models for Conversational Speech Recognition. 1-7 - Sibo Gai, Zhengyu Chen, Donglin Wang:
Multi-Modal Meta Continual Learning. 1-8 - Jingyi Xu, Tony Q. S. Quek, Kai Fong Ernest Chong:
Training Classifiers that are Universally Robust to All Label Noise Levels. 1-8 - Suman Saha, Junbin Gao, Richard Gerlach:
Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. 1-10 - Xuan Zhao, Jimmy X. Huang, Haitian Yang:
CANs: Coupled-Attention Networks for Sarcasm Detection on Social Media. 1-8 - Sayantan Pramanik, M. Girish Chandra:
On a Possible Quantum Variational Autoencoder Circuit. 1-6 - Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu:
On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. 1-9 - Giacomo Iadarola, Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Christian Peluso, Antonella Santone:
A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning. 1-8 - Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon:
Autoencoders Without Reconstruction for Textural Anomaly Detection. 1-8 - Antonello Rosato, Massimo Panella, Denis Kleyko:
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. 1-10 - Luca Pestarino, Giovanni Fiorito, Silvia Polidoro, Paolo Vineis, Andrea Cavalli, Sergio Decherchi:
On the Stability of Feature Selection in Multiomics Data. 1-7 - Haojie Huang, Raymond K. Wong:
Attention-based Seq2seq Regularisation for Relation Extraction. 1-10 - Hongyi Zhang, Jan Bosch, Helena Holmström Olsson:
End-to-End Federated Learning for Autonomous Driving Vehicles. 1-8 - Jindong Gu, Rui Zhao, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. 1-8 - Lu-Ning Zhang, Jian-Wei Liu, Zhi-Yan Song, Xin Zuo, Weimin Li, Ze-Yu Liu:
Universal Transformer Hawkes process. 1-7 - Junwei Sun, Bai Wang, Bin Wu:
Automated Graph Representation Learning for Node Classification. 1-7 - Zhihui Ruan, Jianwei Zhang:
Learning the Features ignored by Classification Models using Staged Modeling Variational Autoencoder. 1-8 - Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen:
Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. 1-8 - Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler:
Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. 1-8 - David M. Schwartz, Gregory Ditzler:
Bolstering Adversarial Robustness with Latent Disparity Regularization. 1-8 - Jinxin Wang, Zhimin Liu, Na Wang, Yuanzhe Zhao, Yahong Xie, Yuanlai Xie:
Automatic optimization method for EAST-NBI beam extraction experiment parameters based on neural network. 1-7 - Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak:
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. 1-8 - Zhanghan Song, Dian Zhang, Xiaochuan Shi, Wei Li, Chao Ma, Libing Wu:
DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation. 1-8 - Qi Xu, Yinan Ma, Jing Wu, Chengnian Long:
Faster BiSeNet: A Faster Bilateral Segmentation Network for Real-time Semantic Segmentation. 1-8 - Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang:
Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. 1-8 - Yu Guo, Gaopeng Gou, Gang Xiong, Minghao Jiang, Junzheng Shi, Wei Xia:
Let Imbalance Have Nowhere to Hide: Class-Sensitive Feature Extraction for Imbalanced Traffic Classification. 1-8 - Erika Gardini, Andrea Cavalli, Sergio Decherchi:
An Ab Initio Local Principal Path Algorithm. 1-8 - Julio J. Valdés, Antonio Pou:
Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. 1-8 - Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. 1-8 - Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai:
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. 1-7 - Zuzanna Krawczyk, Robert Szmurlo, Pawel Zawadzki, Estera Kot, Jacek Starzynski, Anna Zawadzka:
Volumetric Modulated Arc Therapy Dose Distribution Prediction for Breast Cancer Patients: CNN Approach. 1-10 - Shu-Yu Lin, Yi-Ling Chen:
Attention-Based Multi-Filter Convolutional Neural Network for Inappropriate Speech Detection. 1-10 - Zhen Li, Sunzeng Cai, Xiaoyi Wang, Hanyang Shao, Liang Niu, Nian Xue:
Multiple Object Tracking with GRU Association and Kalman Prediction. 1-8 - Andrey V. Savchenko:
User Preference Prediction in Visual Data on Mobile Devices. 1-7 - Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang:
A Graph Regularized Point Process Model For Event Propagation Sequence. 1-7 - Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi:
Automated detection of COVID-19 on a small dataset of chest CT images using metric learning. 1-8 - Shihao Dan, Xiaofang Hu, Yue Zhou, Shukai Duan:
Lightweight multi-dimensional memristive CapsNet. 1-8 - Yangzi Guo, Ying Nian Wu, Adrian Barbu:
A Study of Local Optima for Learning Feature Interactions using Neural Networks. 1-8 - Tien Van Nguyen, Jiyong An, Kyeong-Sik Min:
Comparative Study on Quantization-Aware Training of Memristor Crossbars for Reducing Inference Power of Neural Networks at The Edge. 1-6 - Jianyuan Wang, Xinyue Liu, Qianggang Cao, Biao Leng:
Hint Pyramid Learning Via Salient Semantic Mining. 1-8 - Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
A Novel Ensemble Method of RVFL For Classification Problem. 1-8 - Bodo Rueckauer, Shih-Chii Liu:
Temporal Pattern Coding in Deep Spiking Neural Networks. 1-8 - Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff:
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. 1-8 - Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition. 1-7 - Jie Gao, Xiaoliu Luo, Taiping Zhang:
Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation. 1-8 - Yu Liu, Shi Wang, Kangli Zi, Jicun Li, Cungen Cao:
Knowledge Enhanced Sequential Entity Linking. 1-8 - Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu:
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. 1-8 - Thiago Gonçalves Cavalcante, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue, Avelino Forechi:
Visual Global Localization Based on Deep Neural Netwoks for Self-Driving Cars. 1-7 - Jun Yao, Jia Lee, Xin Huang, Teijiro Isokawa:
Improving shepherding tasks through destination-orientated actions. 1-9 - Weisen Jiang, Yu Zhang, James T. Kwok:
SEEN: Few-Shot Classification with SElf-ENsemble. 1-8 - Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. 1-8 - Ming Jiang, Li Zhang:
An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation. 1-6 - Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun:
A Light Ranker for Open-Domain Question Answering. 1-6 - Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. 1-6 - Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng:
Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. 1-8 - Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He:
3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. 1-8 - Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen:
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. 1-8 - Ishita Mediratta, Snehanshu Saha, Shubhad Mathur:
LipARELU: ARELU Networks aided by Lipschitz Acceleration. 1-8 - Huan Li, Jinglei Tang, Xujing Zhou:
Hair Editing with Two-Phase Image Reconstruction. 1-8 - Xin Wang, Qiaohong Chen, Ting Hu, Qi Sun, Yubo Jia:
Visual-Semantic Dual Channel Network for Visual Question Answering. 1-10 - Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Dynamic selection of classifiers for Content Based Image Retrieval. 1-8 - José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, Viviana Cocco Mariani:
Forecasting COVID-19 pandemic using an echo state neural network-based framework. 1-8 - Zhencheng Huang, Dehao Wu, Zhenyu Weng, Yuesheng Zhu, Zhiqiang Bai:
Sequence-Aware Graph Neural Network for Session-based Recommendation. 1-8 - Touqeer Ahmad, Ebrahim Emami, Martin Cadík, George Bebis:
Resource Efficient Mountainous Skyline Extraction using Shallow Learning. 1-9 - Haiqin Yang, Jianping Shen:
Emotion Dynamics Modeling via BERT. 1-8 - Mingze Sun, Daiyue Xue, Weipeng Wang, Qifu Hu, Jianping Yu:
Group-Based Deep Transfer Learning with Mixed Gate Control for Cross- Domain Recommendation. 1-8 - Benedikt Bagus, Alexander Gepperth:
An Investigation of Replay-based Approaches for Continual Learning. 1-9 - Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang:
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. 1-8 - Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu:
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media. 1-8 - Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu:
Text Generation with Syntax - Enhanced Variational Autoencoder. 1-8 - Weifeng Zhang, Jiajia Ni, Zhen Chao, Qingmao Hu:
A Lightweight Object Detection Framework. 1-7 - Shujin Liu, Derong Chen, Jie Shao:
ADA: Adaptive Depth Attention Model for Click - Through Rate Prediction. 1-8 - Chaofei Yang, Leah Ding, Yiran Chen, Hai Li:
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. 1-8 - Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Attention Transformer Networks for Long Document Classification. 1-7 - Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran:
The Case Against Sentiment Analysis for Natural Text. 1-8 - Fan Lu, Yan Yang:
A Feature Aggregation Hourglass Network for Human Pose Estimation. 1-6 - Shiqi Guo, Jing Zhao, Shiliang Sun:
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. 1-8 - Olaoluwa Adigun, Bart Kosko:
Bayesian Bidirectional Backpropagation Learning. 1-7 - Etienne Mueller, Julius Hansjakob, Daniel Auge, Alois C. Knoll:
Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks. 1-8 - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. 1-8 - Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. 1-10 - Hafez Farazi, Jan Nogga, Sven Behnke:
Local Frequency Domain Transformer Networks for Video Prediction. 1-10 - Abhisek Tiwari, Tulika Saha, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya:
Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting. 1-8 - Saheed A. Tijani, Xingjun Ma, Ran Zhang, Frank Jiang, Robin Doss:
Federated Learning with Extreme Label Skew: A Data Extension Approach. 1-8 - Benedikt Pfülb, Alexander Gepperth:
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. 1-9 - Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell:
A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. 1-10 - Xiaobiao Du, Chongjin Liu, Xiaoling Yang:
Region Attention Network For Single Image Super-resolution. 1-6 - Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
Global Object Proposals for Improving Multi-Sentence Video Descriptions. 1-7 - Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. 1-7 - Jie Sun, Qi Li, Yong Jiang:
Privacy-Preserving Convex Factorization Machine. 1-8 - Mauajama Firdaus, Nidhi Thakur, Asif Ekbal:
Multi-Aspect Controlled Response Generation in a Multimodal Dialogue System using Hierarchical Transformer Network. 1-8 - Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang:
A Self-Weighting Module to Improve Sentiment Analysis. 1-6 - Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization. 1-8 - Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu:
A Multi -Role Graph Attention Network for Knowledge Graph Alignment. 1-8 - Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu:
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. 1-7 - Cristiano Cervellera, Mauro Gaggero, Danilo Macciò:
Policy Optimization for Berth Allocation Problems. 1-6 - William Taylor-Melanson, Gordon MacDonald, Andrew Godbout:
Volume-preserving Recurrent Neural Networks (VPRNN). 1-10 - Misbah Sohail, Pedro Peres, Yuhua Li:
Feature Importance Analysis for Customer Management of Insurance Products. 1-8 - Liang Ma, Gangliang Zhong, Zhengyi Yang, Linzhong Fan, Tianzi Jiang:
Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation. 1-7 - Xiaoyang Qu, Jianzong Wang, Jie Liu, Jing Xiao:
Enhancing Neural Architecture Search by Upgrading Weak Components. 1-8 - Ichrak Mokhtari, Walid Bechkit, Hervé Rivano:
A generic framework for monitoring pollution plumes in emergencies using UAVs. 1-9 - Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang:
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. 1-8 - Basem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa:
Intelligent Failure Prediction in Industrial Vehicles. 1-8 - David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection. 1-8 - Chunlei Liu, Zhen Han, Jiaxing Wen, Hui Hu, Zhongyuan Wang, Weiping Tu:
Adaptive Texture Distillation Network for Image Hybrid Super-Resolution. 1-8 - Baoli Wang, Xinxin Fan, Quanliang Jing, Haining Tan, Jingping Bi:
AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework. 1-8 - Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang:
Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information. 1-8 - Fengying Yu, Dewei Tao, Jianzong Wang, Yanfei Hui, Ning Cheng, Jing Xiao:
Semantic Extraction for Sentence Representation via Reinforcement Learning. 1-8 - Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Masato Okada:
Analysis of Trainability of Gradient-based Multi -environment Learning from Gradient Norm Regularization Perspective. 1-8 - Md. Hafizur Rahman, Samr Ali, Nizar Bouguila:
Efficient Parameter Based Online Object Tracking. 1-8 - Qianyi Zhang