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ORCIDCoRR, November 2022
- Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati:
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. - Lei Wang
, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. - Bianka Bakullari, Wil M. P. van der Aalst:
High-Level Event Mining: A Framework. - Xincao Xu, Kai Liu, Penglin Dai, Hao Zhang, Ke Xiao:
Maximizing Quality and Minimizing Cost for VCPS in ISAC-Based Vehicular Networks: A Deep Reinforcement Learning Approach. - Everlyn Asiko Chimoto, Bruce A. Bassett:
Very Low Resource Sentence Alignment: Luhya and Swahili. - Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. - Edward Abel, Sajid Siraj:
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach. - Petar Radanliev, David De Roure:
New and emerging forms of data and technologies: literature and bibliometric review. - A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain:
Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues. - John J. Forbus, Daniel Berleant:
Discrete-Event Simulation in Healthcare Settings: a Review. - Afsana Rahman, Ruhul Amin:
Technology and COVID-19: How Reliant is Society on Technology? - Sarunas Barauskas, Roberto Ripamonti, Emanuele Ragnoli:
Rogue Protocol: A Framework For NFT Royalties Tokenisation. - Paul Scharre, Megan Lamberth:
Artificial Intelligence and Arms Control. - Braxton Rolle, Ravi Kiran:
COVID-19 Infection Exposure to Customers Shopping during Black Friday. - Roba Alsaigh, Rashid Mehmood, Iyad A. Katib:
AI Explainability and Governance in Smart Energy Systems: A Review. - José González Cabañas, Patricia Callejo, Rubén Cuevas, Steffen Svartberg, Tommy Torjesen, Ángel Cuevas, Antonio Pastor, Mikko Kotila:
CarbonTag: A browser-based method for approximating energy consumption of online ads. - Oluwatosin Samuel Falebita:
Secure Web-Based Student Information Management System. - Sergio R. Coria, Luz M. Garcia-Garcia:
Digital divide among the States of Mexico: a comparison 2010-2020. - A. T. M. Mustafa Masud Chowdhury, Jeenat Sultana, Md Sakib Ullah Sourav:
IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System in Major Bangladeshi Cities. - Gizem Gezici:
Automated Gender Bias Evaluation in YouTube. - Ankush Chakrabarty:
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach. - Natalie Klein, Amber J. Day, Harris Mason, Michael W. Malone, Sinead A. Williamson:
Denoising neural networks for magnetic resonance spectroscopy. - Soumyanil Banerjee, Ming Dong, Weisong Shi:
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting. - Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Fernando V. Ravelo, Pedro S. Peixoto, Martin Schreiber:
An explicit exponential time integrator based on Faber polynomials and its application to seismic wave modelling. - Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. - Vung Pham, Du Nguyen, Christopher Donan:
Road Damages Detection and Classification with YOLOv7. - Kevin Weinberger, Robert-Jeron Reifert, Aydin Sezgin, Ertugrul Basar:
RIS-enhanced Resilience in Cell-Free MIMO. - Daniel P. Benalcazar, Juan E. Tapia, Sebastian Gonzalez, Christoph Busch:
Synthetic ID Card Image Generation for Improving Presentation Attack Detection. - Shangchen Han, Po-Chen Wu, Yubo Zhang, Beibei Liu, Linguang Zhang, Zheng Wang, Weiguang Si, Peizhao Zhang, Yujun Cai, Tomas Hodan, Randi Cabezas, Luan Tran, Muzaffer Akbay, Tsz-Ho Yu, Cem Keskin, Robert Wang:
UmeTrack: Unified multi-view end-to-end hand tracking for VR. - Stephan Hilb, Andreas Langer:
A General Decomposition Method for a Convex Problem Related to Total Variation Minimization. - Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo:
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI). - Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. - Théo Morales, Gerard Lacey:
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? - Sangdon Park, Xiang Cheng, Taesoo Kim:
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning. - Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. - Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Xinjian Li, Ye Jia, Chung-Cheng Chiu:
Textless Direct Speech-to-Speech Translation with Discrete Speech Representation. - Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of Non-semantic Speech Tasks with Pretrained Models. - Ingo Wald:
GPU-friendly, Parallel, and (Almost-)In-Place Construction of Left-Balanced k-d Trees. - Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? - Christian M. Jensen, Mathias C. Frederiksen, Carsten Skovmose Kallesøe, Jeppe N. Jensen, Laurits H. Andersen, Roozbeh Izadi-Zamanabadi:
HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating. - Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera:
TaTa: A Multilingual Table-to-Text Dataset for African Languages. - Randy J. Chase, David R. Harrison, Gary M. Lackmann, Amy McGovern:
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. - Titas Chakraborty, Akshay Bhagat, Henggang Cui:
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. - Yousu Chen, Liwei Wang, Xiaoyuan Fan, Dexin Wang, James Ogle:
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid. - Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. - Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina:
Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules. - Martin Lumiste, Andrei Ilie:
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge. - Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford:
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. - Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr:
Decorrelating ReSTIR Samplers via MCMC Mutations. - Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu:
Improving Fairness in Image Classification via Sketching. - François Charton:
What is my math transformer doing? - Three results on interpretability and generalization. - Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. - Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le:
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition. - Rayan Wali:
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems. - Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus:
Learning to Navigate Wikipedia by Taking Random Walks. - Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. - Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. - Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang:
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models. - Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik:
Adaptive Compression for Communication-Efficient Distributed Training. - Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt:
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. - Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal, Taha Ceritli, Ernesto Jiménez-Ruiz, Christopher K. I. Williams:
AI Assistants: A Framework for Semi-Automated Data Wrangling. - Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. - Bernd Pfrommer:
Frequency Cam: Imaging Periodic Signals in Real-Time. - Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. - Zhenghua Xu, Changhong Deng, Qiuling Yang:
A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control. - Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao:
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection. - Yingjie Xue, Di Jin, Maurice Herlihy:
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. - Nouman Khan, Mehrdad Moharrami, Vijay G. Subramanian:
Rarest-First with Probabilistic-Mode-Suppression. - Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas:
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows. - Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. - Feiyang Han, Yimin Wei, Pengpeng Xie:
Tensor Regularized Total Least Squares Methods with Applications to Image and Video Deblurring. - Junqiang Huang, Zichao Guo:
Pixel-Wise Contrastive Distillation. - Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke:
Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms. - Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan:
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation. - Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Hee Jun Yang, Hyea Hyun Kim:
Additive Schwarz algorithms for neural network approximate solutions. - Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler:
Transfer Learning with Kernel Methods. - Lei Kou, Chuang Liu, Guowei Cai, Zhe Zhang, Jia-Ning Zhou, Xue-Mei Wang:
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features. - Zhenyao He, Wei Xu, Hong Shen, Derrick Wing Kwan Ng, Yonina C. Eldar, Xiaohu You:
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization. - Weida Wang:
Survey on Source-coding technique. - Juni Kim, Zhikang Dong, Eric Guan, Judah Rosenthal, Shi Fu, Miriam Rafailovich, Pawel Polak:
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding. - Federico Sabbatini, Roberta Calegari:
Clustering-Based Approaches for Symbolic Knowledge Extraction. - Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma:
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. - Federico Sabbatini, Roberta Calegari:
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper. - Tomokatsu Takahashi, Masanori Yamada, Yuki Yamanaka, Tomoya Yamashita:
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. - Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell:
Adversarial Policies Beat Professional-Level Go AIs. - Jiyun Kim, Byounghan Lee, Kyung-Ah Sohn:
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection. - Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. - Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes:
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Wei Peng, Ziyuan Qin, Yue Hu, Yuqiang Xie, Yunpeng Li:
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation. - James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
End-to-End Optimization and Learning for Multiagent Ensembles. - Jiashuo Wang, Yi Cheng, Wenjie Li:
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation. - Wei Kang, Daniel M. Tartakovsky, Apoorv Srivastava:
Feature-Informed Data Assimilation - Definitions and Illustrative Examples. - Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. - Yeqing Lin, Jing Liu, Rongen Dong, Xun Chen, Yue Wu, Feng Shu, Jiangzhou Wang:
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks. - Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. - Jinyin Chen, Jie Ge, Haibin Zheng:
ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph. - Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma:
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection. - Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad:
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. - Tongkun Guan, Wei Shen:
Self-supervised Character-to-Character Distillation. - Sepideh Mahabadi, Thuy-Duong Vuong:
Composable Coresets for Constrained Determinant Maximization and Beyond. - Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Ziqiang Cao, Sujian Li, Hua Wu:
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. - Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. - Weizhu Bao, Yifei Li:
A structure-preserving parametric finite element method for geometric flows with anisotropic surface energy. - Minjia Shi, Denis S. Krotov, Ferruh Özbudak:
Constructing MRD codes by switching. - Enwei Zhu, Yiyang Liu, Ming Jin, Jinpeng Li:
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges. - Aritra Dhar, Supraja Sridhara, Shweta Shinde, Srdjan Capkun, Renzo Andri:
Empowering Data Centers for Next Generation Trusted Computing. - Masud An Nur Islam Fahim, Jani Boutellier:
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization. - Youfang Han, Chunping Li:
Entity Matching by Pool-based Active Learning. - Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi:
HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Ashkan Javaherian:
Hessian-inversion-free ray-born inversion for high-resolution quantitative ultrasound tomography. - Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. - Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. - Jinghe Wang, Wankai Tang, Jing Cheng Liang, Lei Zhang, Jun Yan Dai, Xiao Li, Shi Jin, Qiang Cheng, Tie Jun Cui:
Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation. - Chuan-gang Kang:
The standard forms of the Kaczmarz-Tanabe type methods and their convergence theory.