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ORCID1st Tiny Papers @ ICLR 2023: Kigali, Rwanda
- Krystal Maughan, Rosanne Liu, Thomas F. Burns:
The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023. OpenReview.net 2023 - Emmanouil Seferis, Simon Burton, Chih-Hong Cheng:
Statistical Property Testing for Generative Models. - Emmanouil Seferis, Simon Burton, Chih-Hong Cheng:
Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models? - Xuemei Zhou, Lingfang Li, Xingzhou Zheng, Mingxing Luo:
A two-parameter learnable Logmoid Activation Unit. - Mahmoud Zamani, Saquib Irtiza, Shamila Wickramasuriya, Latifur Khan, Kevin W. Hamlen:
Cross Domain Vulnerability Detection using Graph Contrastive Learning. - Renjith P. Ravindran, Narayana Murthy Kavi:
Tiny Attention: A Simple yet Effective Method for Learning Contextual Word Embeddings. - Cyril Gorlla:
Training Data Eigenvector Dynamics in the EigenPro Implementation of the Neural Tangent Kernel and Recursive Feature Machines. - Suman Sapkota, Binod Bhattarai:
Metric Transform: Exploring beyond Affine Transform for Neural Networks. - Royden Wagner, Marvin Klemp, Carlos Fernández Lopez:
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features. - Arnav Pati, Deepak Mewada, Debasis Samanta:
Meta-Learning for Subject Adaptation in Low-Data Environments for EEG-Based Motor Imagery Brain-Computer Interfaces. - Karthika Kamath, Tanya Upadhyay, Jieya Rawal, Kirtana Sunil Phatnani, Biju Dominic:
Fostering Effective Communication Between Humans and Machines. - Roger Byakunda:
Transfer Learning on Kinyarwanda Tweets Sentiment Analysis. - Jiacheng Liu, Siqi Guo:
Symbolic Regression in Financial Economics. - Nicolas M. Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác:
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. - Ahmedeo Shokry, Antonio Norelli:
Learning Rotation-Agnostic Representations via Group Equivariant VAEs. - Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed:
Can Text Encoders be Deceived by Length Attack? - Joseph Domguia, Guy Adingono Nkama:
Whispering Across the Continent: Collecting and Analyzing African Culture Using Community Radios. - Thomas X. Wang, Patrick Gallinari:
Handling unstructured data for operator learning using implicit neural representations. - Amro Salman, Ayman Saeed, Khalid N. Elmadani, Sharief Babiker:
Model Extraction Attacks on DistilBERT. - Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan:
One Important Thing To Do Before Federated Training. - Kinshuk Dua:
Insights into the mechanism behind reusing Teacher's classifier in Knowledge Distillation. - Wenxuan Liu, Lukun Wang, Jiaming Pei:
When will federated learning transfer from generalization to personalization? - Zeinab Sadat Taghavi, Ali Satvaty, Hossein Sameti:
A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion. - Islam Utyagulov, Francois Buet-Golfouse, Peter Hill:
Fairness Under Partial Observability. - Charlie Tan, Theodore Long, Sarah Zhao, Rudolf Laine:
Geodesic Mode Connectivity. - Joseph L. Briones, Andréa W. Richa:
Pursuit Policies in Dynamic Environments. - Dharshan Sampath Kumar, Pranav Jeevan, Amit Sethi:
Resource-efficient image inpainting. - Jonas Jürß, Dulhan Hansaja Jayalath:
Recursive Reasoning with Neural Networks. - Duaa Badradein Alshareif, Taiseer Abdulateef Fadlalla, Muhammed Yahya Saeed, Hiba Hassan S. M. Ali:
SUDANESE ARABIC DIALECT ENCODING USING XLM-RoBERTa LANGUAGE MODEL: Zol-ROBERTA. - Denys Kaliuzhnyi, Dmytro Fishman, Mikhail Papkov:
Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology. - Ujjawal Shah, Saurav Keshari Aryal:
Experimenting with Multimodal AutoML: Detection and Evaluation of Alzheimer's Disease. - Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. - Valeria Ruscio, Valentino Maiorca, Fabrizio Silvestri:
Attention-likelihood relationship in Transformers. - Mayank Jain, Soumyabrata Dev:
Truly Generative Data Augmentation for Image Segmentation - Case of Cloud Images. - Joonas Ariva, Mikhail Papkov:
Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising. - Hilit Segev, Gal Chechik:
Personalized Federated Learning for Medical Segmentation using Hypernetworks. - Micaela Tayoto Cerilla, Aaron Santillan, Carl John Vinas, Michael B. Dela Fuente:
Career Path Modeling and Recommendations with Linkedin Career Data and Predicted Salary Estimations. - Mircea Tudor Lica, David Dinucu-Jianu:
Sleep Deprivation in the Forward-Forward Algorithm. - Liat Bezalel, Eyal Orgad:
MetaXLR - Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit. - Aaquib Syed, Phillip Huang Guo, Vijaykaarti Sundarapandiyan:
Prune and Tune: Improving Efficient Pruning Techniques for Massive Language Models. - Hassan Abbelkarim, Mohammed Eltahir, Khalid N. Elmadani, Anas Showk:
Model Extraction Attacks on Arabic BERT-Based APIs. - Insik Chung, Isaac Han, Kyung-Joong Kim:
IMITATION LEARNING USING THE FORWARD-FORWARD ALGORITHM. - Cheril Shah, Yashashree Chandak, Manan Suri:
The Geometry of Multilingual Language Models: An Equality Lens. - Parth Pahwa, Kabir Thakur, Francois Buet-Golfouse:
Dynamic Human AI Collaboration. - Ben Hayes, Charalampos Saitis, György Fazekas:
The Responsibility Problem in Neural Networks with Unordered Targets. - Jiayi Liao, Xu Chen, Lun Du:
Concept Understanding in Large Language Models: An Empirical Study. - Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. - Nicholas William David Martin, Peter Hill, Tingsheng Tan, Francois Buet-Golfouse:
Sustainable Resource Management. - Yuxin Tang:
Chain Of Thought Prompting Under Streaming Batch: A Case Study. - Xiuchao Sui, Shaohua Li, Hong Yang, Hongyuan Zhu, Yan Wu:
Language Models can do Zero-Shot Visual Referring Expression Comprehension. - Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple Parameter-free Self-attention Approximation. - Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. - Peter Hill, Francois Buet-Golfouse:
Decomposing Causality and Fairness. - Pavel Chizhov, Mikhail Papkov:
Self-Supervised Image Denoising with Swin Transformer. - Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, Katharina Baum:
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data. - Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt:
GeValDi: Generative Validation of Discriminative Models. - Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. - Dev Gurung, Shiva Raj Pokhrel, Gang Li:
Secure Communication Model for Quantum Federated Learning: A Proof of Concept. - Chunlin Tian, Zhan Shi, Li Li:
Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. - Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. - Lucia Cipolina-Kun:
MARKOVIAN EMBEDDINGS FOR COALITIONAL BARGAINING GAMES. - Jianfei Ma:
The Point to Which Soft Actor-Critic Converges. - Dulhan Hansaja Jayalath, Alisia Maria Lupidi, Yonatan Gideoni:
No Double Descent in Self-Supervised Learning. - Johannes Zenn, Robert Bamler:
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers. - Costin-Andrei Oncescu, Jack Valmadre, João F. Henriques:
Generalised Lookahead Optimiser. - Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Revisiting CounteRGAN for Counterfactual Explainability of Graphs. - Bradley C. A. Brown, Jordan Juravsky, Atif Mahmud, Wais Shahbaz, Ryan Ehrlich:
Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. - Effat Farhana:
RETHINKING POSITIONAL EMBEDDING: A CASE STUDY IN TEMPORAL EVENT SEQUENCE MODELLING. - Seyed Ali YaghoubNejad, Mohammad Taghi Manzuri:
Exploring Efficient and Simple Initialization Strategies for Bayesian Optimization with SETUP-BO. - Neeraja Abhyankar:
Quota Constraints for Diversity Interventions in Subset Selection. - Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan:
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. - Hager Adil, Abrar Elidrisi, Muhammed Saeed:
Knowledge Distillation of BERT Language Model on the Arabic Language. - Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan:
Offensiveness as an Opinion: Dissecting population-level Label Distributions. - Jackson Kaunismaa, Michael Guerzhoy:
How do ConvNets Understand Image Intensity? - Novena Agnes:
Learning Weight Sensitivity from Entropy. - Reza Bayat:
A Study on Sample Diversity in Generative Models: GANs vs. Diffusion Models. - Borui Cai, Yong Xiang, Yao Zhao:
Artificial Intelligent Life: A New Perspective on Artificial General Intelligence. - Yao Du, Felix Juefei-Xu:
Generative AI for Therapy? Opportunities and Barriers for ChatGPT in Speech-Language Therapy. - Mohammad Aflah Khan, Neemesh Yadav, Mohit Jain, Sanyam Goyal:
The Art of Embedding Fusion: Optimizing Hate Speech Detection. - Beverly Abadines Quon, Jean-Luc Gaudiot:
COLLABORATIVE CONCEPT DRIFT DETECTION. - Dibyanshu Shekhar, Sree Harsha Nelaturu, Ashwath Shetty, Ilia Sucholutsky:
End-to-End Learnable Masks With Differentiable Indexing. - Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. - Saurav Keshari Aryal, Gaurav Adhikari:
Evaluating Impact of Emoticons and Pre-processing on Sentiment Classification of Translated African Tweets. - Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim:
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. - Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. - Hrishav Sapkota, Saurav Keshari Aryal, Howard Prioleau:
Zero-Shot Classification Reveals Potential Positive Sentiment Bias in African Languages Translations. - Kristin Qi, Jiali Cheng, Daniel Haehn:
Lesion Search with Self-supervised Learning. - Howard Prioleau, Saurav Keshari Aryal:
Feature Importance Analysis for Mini Mental Status Score Prediction in Alzheimer's Disease. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. - Jerry Ngo
, Swami Sankaranarayanan, Phillip Isola:
Is CLIP Fooled by Optical Illusions? - Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. - Xingyi Yang:
Towards Stochastic Gradient Variance Reduction by Solving a Filtering Problem. - Asim Awad Osman, Ahmed Emadeldin Almahady, Muhammed Saeed, Hiba Hassan Sayed:
MACHINE TRANSLATION BASELINES FOR ARABIC - SWAHILI. - Yunzhe Xue, Usman Roshan:
Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble. - Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. - Monica Isgut, Neha Jain, Andrew Hornback, Karan Samel, May Dongmei Wang:
GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings. - Nicholas Soucy, Salimeh Yasaei Sekeh:
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. - Alayt Issak, Lav R. Varshney:
Prompt Programming for the Visual Domain. - Alayt Issak, Sarthak Kakkar, Sair Goetz, Nik Bear Brown, Casper Harteveld:
Mapping the Typographic Latent Space of Digits. - Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal:
Hyperbolic Deep Reinforcement Learning for Continuous Control. - Camille Besombes, Adeetya Patel, Sreenath Arekunnath Madathil:
Incorporating Expert Prior Knowledge for Oral Lesion Recognition. - Sidharth Lakshmanan, Philip J. Y. Leung, Jeffrey Nivala:
LEARNING LIGHTWEIGHT STRUCTURE-AWARE EMBEDDINGS FOR PROTEIN SEQUENCES. - Dawson Kinsman, Tian An Wong:
Proactive policing as reinforcement learning. - Johan Samir Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro:
The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning. - Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. - Micah Tewers:
A Brief History of the Speculative Measures for Autonomy. - Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers:
Semantic feature verification in FLAN-T5. - Abhishek Gupta, Emily Dardaman:
Augmenting Collective Intelligence through Belbin's Team Roles. - Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling:
Text2Face: 3D Morphable Faces From Text. - Sheila Alemany, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou:
Towards Parametric Robust Activation Functions in Adversarial Machine Learning. - Julio Arroyo, Pietro Perona, Elijah Cole:
Understanding Label Bias in Single Positive Multi-Label Learning. - Abdulhameed Abiola Dere:
Knowledge and Attitude of Medical Students and Doctors towards Artificial Intelligence: A study of University of Ilorin. - Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers:
Human-machine cooperation for semantic feature listing. - Michael Tetelman:
Improving generalization by loss modification. - Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný:
A Rate-Distortion View on Model Updates. - Qinyue Tan, Ashkan Kazemi, Rada Mihalcea:
Text-Based Games as a Challenging Benchmark for Large Language Models. - Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal:
Learned Learning Rate Schedules for Deep Neural Network Training Using Reinforcement Learning. - Samin Heydarian, Tohid Abedini, Alireza Morsali, Moein Heidari:
Speaker-Invariant Speech Recognition through Fine-Tuning on Individual-Specific Data with Voice Conversion. - Rafik Hachana, Vladimir V. Ivanov:
Effect of training fragment length on Transformers in text complexity prediction. - Charline Le Lan, Rishabh Agarwal:
Revisiting Bisimulation: A Sampling-Based State Similarity Pseudo-metric. - Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal:
Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning. - Tohid Abedini, Samin Heydarian, Moein Heidari, Alireza Morsali:
Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading. - Rafik Hachana, Adil Khan:
Effects of Single-Attribute Control on the Music Generated by FIGARO. - Dejana Mandic, Wieland Brendel, Claudio Michaelis:
Iterative weakly supervised learning for novel class object detection. - Vignesh Ganapathiraman, Francisco Javier Calderon, Anila Joshi:
BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD. - Alaeddin Selçuk Gürel, Aydin Gerek:
Train Monolingual, Infer Bilingual. - Neil Ashtekar, Vasant G. Honavar:
A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data. - Chandan Kumar, Matthew J. Darr, Ali Jannesari:
Discerning Self-Supervised Learning and Weakly Supervised Learning. - Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian:
DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs. - Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. - Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal:
An Analysis of Transferability in Network Intrusion Detection using Distributed Deep Learning. - Alireza Morsali, Moein Heidari, Samin Heydarian, Tohid Abedini:
MLP-Attention: Improving Transformer Architecture with MLP Attention Weights. - Reyhan Kevser Keser, Behçet Ugur Töreyin:
Averager Student: Distillation from Undistillable Teacher. - Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak:
Inducing Document Representations from Graphs: A Blueprint. - Pratinav Seth, Mihir Agarwal:
Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classification of Common Mental Illnesses on Social Media Posts. - Alexander Capstick, Payam M. Barnaghi:
Predicting Targets with Data from Non-Conforming Sources. - Felix Friedrich, David Steinmann, Kristian Kersting:
One Explanation Does Not Fit XIL. - Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics. - Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay:
GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. - Tom George:
Theta sequences as eligibility traces: A biological solution to credit assignment. - Hugo Dugdale:
Federated Learning with Variational Autoencoders. - Fadel Thior, Rose Bandolo, Sekou Remy:
TRACTABLE LARGE SCALE CALIBRATION WITH RL. - Eloisa Bentivegna:
A Variational Condition for Minimal-Residual Latent Representations. - Nevasini Sasikumar, Krishna Sri Ipsit Mantri:
Attention Based Variational Graph Auto-Encoder (AVGAE). - Tran Phong, Hoong Chuin Lau:
Generative STResnet for Crime Prediction. - Joshua Jeremy Dhikusooka, Ephraim Nuwamanya, Estefania Talavera Martínez, Godliver Owomugisha:
A Light Spectrometer Device for Crop Disease Monitoring. - Abdalrhman Mostafa, Nour-Mounira Z. Bakkar, Mohamed Abdelhack, Ahmed F. El-Yazbi:
Can Arterial Blood Pressure Predict Age? A ConvNet Classification Task. - ChungYi Lin, Shen-Lung Tung, Winston H. Hsu:
Pay Attention to Multi-Channel for Improving Graph Neural Networks. - Abhishek Kuriyal, Vaibhav Kumar:
pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. - Cheng-Kuang Wu, Wei-Lin Chen, Hsin-Hsi Chen:
Large Language Models Perform Diagnostic Reasoning. - Alexandre Salle, Shervin Malmasi:
A Simple Loss Function for Convergent Algorithm Synthesis using RNNs. - Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Ayu Purwarianti:
The Obscure Limitation of Modular Multilingual Language Models. - Mary Adewunmi:
Exploratory Analysis of Scholarly Publications on Artificial Intelligence (AI) in Colonoscopy using Litstudy. - Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen:
Propagate Deeper and Adaptive Graph Convolutional Networks. - Mani Shemiranifar, Mostafa Dehghani:
L2 Norm Guided Adaptive Computation. - Pengzhi Li, Zhiheng Li:
Efficient Temporal Denoising for Improved Depth Map Applications. - Andrey V. Vlasov, Alexei V. Petraikin:
AI-based opportunistic analysis of the CT images during COVID (2021): Does living in a metropolitan area affect the vertebral body mineral density in older people? - Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. - Arkapal Panda, Tanmay Basu, Vaibhav Kumar:
AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION. - Ender Minyard, Steven Kolawole, Nayan Saxena:
Evolutionary Federated Learning Using Particle Swarm Optimization. - Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan:
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. - Taimoor Khan, Haci Ismail Aslan, Chang Choi:
Performance Evaluation of Enhanced ConvNeXtTiny-based Fire Detection System in Real-world Scenarios. - Xusheng Zhang, Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, Sihong He:
Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs. - Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. - Bilan Gao, YoungBin Kim:
Towards Robust Feature Learning with t-vFM Similarity for Continual Learning. - Sarwan Ali, Prakash Chourasia, Murray Patterson:
When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. - Navid Madani, Kenneth Joseph:
Answering Questions Over Knowledge Graphs Using Logic Programming Along with Language Models. - Stephen Mander, Scott Piao, Hossein Rahmani:
Contrastive Training with more data. - Xuan Yang, Andrew Smart, Daniel Theron:
Statistical Methods for Auditing the Quality of Manual Content Reviews. - Mubarek Mohammed:
ARTIFICIAL PSYCHOLOGY. - Sabbir Mollah, Mohammed Rakib, Nabeel Mohammed, Mashrur Wasek, AKM Shahariar Azad Rabby, Fuad Rahman:
Automated Mapping of Healthcare Concepts to a Standardized Healthcare Taxonomy. - Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan:
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. - C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás:
Prior knowledge meets Neural ODEs: a two-stage training method for improved explainability. - Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh:
Self-Supervised Continual Learning. - Xuerui Qiu, Zheng Luan, Zhaorui Wang, Rui-Jie Zhu:
When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron. - Haoyu Deng, Zhaoteng Ye, Yule Duan:
Characters Are Like Faces. - Weili Kong, Lin Qi, Baisen Liu, Jiaming Pei:
A Scalable Self-supervised Learner for Hyperspectral Image Classification. - Pawel A. Pierzchlewicz, Mohammad Bashiri, R. James Cotton, Fabian H. Sinz:
Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting. - Roman Koshkin, Tomoki Fukai:
Unsupervised Detection of Cell Assemblies with Graph Neural Networks. - Yao Yao, Zuchao Li, Hai Zhao:
Heat Up The Sentiment Learning With ICE. - Kyunghun Nam, Jinseok Chung, Namhoon Lee:
Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization. - Selene Cerna, Catuscia Palamidessi:
On the application and impact of ε-DP and fairness in ambulance engagement time prediction. - Subhrasankar Chatterjee, Subrata Pain, Debasis Samanta:
Adversarial Policy Gradient for Learning Graph-Based Representation in Human Visual Processing. - Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Federated Learning for Local and Global Data Distribution. - Udaybhan Rathore, Akshay Agarwal:
Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? - Hung Phan, Ali Jannesari:
Integrating Information from Natural Language Parse Tree to Code Generation. - Julio Arroyo:
Pseudo Labels for Single Positive Multi-Label Learning. - En Wei, Simiao Ren:
Drowning Detection based on YOLOv8 improved by GP-GAN Augmentation. - Neemesh Yadav, Mohammad Aflah Khan, Diksha Sethi, Raghav Sahni:
Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection. - Maya Janvier:
Group Equivariant Convolutional Networks. - Andrey Palaev, Rustam A. Lukmanov, Adil Khan:
Exploring Semantic Variations in GAN Latent Spaces via Matrix Factorization. - Lisa Bonheme, Marek Grzes:
The Polarised Regime of identifiable Variational Autoencoders. - Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao:
Uni-Match: A Semantic Unified Model for Query-Product Retrieval. - Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You:
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. - Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. - Andrei Florin Pamînt, Sergiu Adrian Darabant:
Using vision transformer-based GANs against Vision Transformers. - Stephen Ngumbi Kiilu, Machel Reid:
Pivot Pre-finetuning for Low Resource MT: A Case Study in Kikamba. - Kitgak Simon:
Unsupervised Learning for Anomaly Detection: A Comparison of Deep Generative Models. - Soham Bakshi, Subha Maity:
Bayes classifier cannot be learned from noisy responses with unknown noise rates. - Andrea Bernini:
Contrastive Learning with 3D Shapes. - Khoi Minh Nguyen-Duy, Quang Pham, Binh T. Nguyen:
Adaptive-saturated RNN: Remember more with less instability. - Mihir Garimella:
Stratospheric Aerosols: Establishing a Novel Optical Thickness Benchmark for Effective Climate Change Mitigation. - Louis Hernandez, Matthieu Boussard:
CausalStructCodec: Causally-aware observational and interventional data generator. - Yu Cao:
Semantic Similarity Based Label Augmentation for Visual Classification. - Chenkai Ma:
Prompt Engineering and Calibration for Zero-Shot Commonsense Reasoning. - Lennart Brocki, Neo Christopher Chung:
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks. - Robert Joseph George:
EDCDE - Extended Discovery of Closed-Form Differential Equations. - Harsh Parikh:
Synthetic Controls as Balancing Scores. - Jiaming Pei, Wei Li:
Clustered Federated Learning with Slightly Skewed Labels. - Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian:
Fusing 3D-CNN and lightweight Swin Transformer networks for HSI. - Maxwell Mbabilla Aladago, A. J. Piergiovanni:
Compound Tokens: Channel Fusion for Vision-Language Representation Learning. - Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su:
Message-passing Selection: Towards Interpretable GNNs for Graph Classification. - Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard:
Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. - Rishit Dagli:
Astroformer: More Data might not be all you need for Classification. - Lican Kang, Han Yuan, Chang Zhu:
Error Analysis of Fitted Q-iteration with ReLU-activated Deep Neural Networks. - Matija Franklin:
General Purpose Artificial Intelligence Systems as Group Agents. - Han Yuan, Mingxuan Liu, Lican Kang, Chenkui Miao, Ying Wu:
An Empirical Study of the Effect of Background Data Size on the Stability of SHapley Additive exPlanations (SHAP) for Deep Learning Models. - Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie:
Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. - Siddharth Krishna Kumar:
Analytical solutions for a family of single layer neural network regression problems. - Bonaventure F. P. Dossou, Yenoukoume S. K. Gbenou, Miglanche Ghomsi Nono:
Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage.
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