| 2022 | 3D Manifold Topology Based Medical Image Data Augmentation. Jisui Huang, Na Lei |
| 2022 | A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness. Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu |
| 2022 | A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa |
| 2022 | A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. Shaochang Deng, Mengxiao Yin, Feng Yang |
| 2022 | A two-stream convolution architecture for ESC based on audio feature distanglement. Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai |
| 2022 | AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. Tim Schwabe, Tobias Glasmachers, Maribel Acosta |
| 2022 | AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang |
| 2022 | AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE. Changjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta |
| 2022 | Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs. Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li |
| 2022 | An Enhanced Human Activity Recognition Algorithm with Positional Attention. Chenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao |
| 2022 | Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. Vineeth N. Balasubramanian, Ivor W. Tsang |
| 2022 | Asynchronous Personalized Federated Learning with Irregular Clients. Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui |
| 2022 | Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability. Priyabrata Sundaray, Yang Weng |
| 2022 | Autonomous Myocardial Infarction Detection from Electrocardiogram with a Multi Label Classification Approach. Vishwa Mohan Singh, Vibhor Saran, Pooja Kadambi |
| 2022 | BINAS: Bilinear Interpretable Neural Architecture Search. Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor |
| 2022 | Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility. Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen |
| 2022 | BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. Zhijie Deng, Jun Zhu |
| 2022 | Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. Réda Alami |
| 2022 | BeautifAI - Personalised Occasion-based Makeup Recommendation. Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu |
| 2022 | Bootstrapping a high quality multilingual multimodal dataset for Bletchley. Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som |
| 2022 | CVaR-Regret Bounds for Multi-armed Bandits. Chenmien Tan, Paul Weng |
| 2022 | Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu |
| 2022 | Constrained Contrastive Reinforcement Learning. Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan |
| 2022 | Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. Wei Zhao, Steffen Eger |
| 2022 | Contrastive Inductive Bias Controlling Networks for Reinforcement Learning. Dongxu Li, Shaochen Wang, Kang Chen, Bin Li |
| 2022 | Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding. Xuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan |
| 2022 | DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. Vasilis Gkolemis, Theodore Dalamagas, Christos Diou |
| 2022 | Deep Reinforcement Learning for High-Frequency Market Making. Pankaj Kumar |
| 2022 | Domain Alignment Meets Fully Test-Time Adaptation. Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan |
| 2022 | Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule. Tejas Pote, Muhammad Athar Ganaie, Atif Hassan, Swanand R. Khare |
| 2022 | EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search. Jian Zheng, Wenran Han, Ying Zhang, Shufan Ji |
| 2022 | Efficient Deep Clustering of Human Activities and How to Improve Evaluation. Louis Mahon, Thomas Lukasiewicz |
| 2022 | Embedding Adaptation Network with Transformer for Few-Shot Action Recognition. Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang |
| 2022 | Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning. Yaxuan Wang, Zhixin Zeng, Qijun Zhao |
| 2022 | Example or Prototype? Learning Concept-Based Explanations in Time-Series. Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann |
| 2022 | FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization. Bo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao |
| 2022 | FLVoogd: Robust And Privacy Preserving Federated Learning. Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang |
| 2022 | Fairness Trade-Offs and Partial Debiasing. Francois Buet-Golfouse, Islam Utyagulov |
| 2022 | Feature Distribution Matching for Federated Domain Generalization. Yuwei Sun, Ng S. T. Chong, Hideya Ochiai |
| 2022 | Graph annotation generative adversarial networks. Yoann Boget, Magda Gregorova, Alexandros Kalousis |
| 2022 | Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson |
| 2022 | Interpretable Representation Learning from Temporal Multi-view Data. Lin Qiu, Vernon M. Chinchilli, Lin Lin |
| 2022 | Kernelized multi-graph matching. François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart |
| 2022 | Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank. Kishan Wimalawarne, Taiji Suzuki |
| 2022 | Learning Disentangled Representation in Pruning for Real-Time UAV Tracking. Siyu Ma, Yuting Liu, Dan Zeng, Yaxin Liao, Xiaoyu Xu, Shuiwang Li |
| 2022 | Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari |
| 2022 | Learning with Domain Knowledge to Develop Justifiable Convolutional Networks. Rimmon Bhosale, Mrinal Das |
| 2022 | Learning with Interactive Models over Decision-Dependent Distributions. Man-Jie Yuan, Wei Gao |
| 2022 | Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. Chonghua Liao, Jiafan He, Quanquan Gu |
| 2022 | Margin Calibration for Long-Tailed Visual Recognition. Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki |
| 2022 | Multi Label Loss Correction against Missing and Corrupted Labels. Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2022 | Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders. Qingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu |
| 2022 | Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization. Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama |
| 2022 | Multi-scale Progressive Gated Transformer for Physiological Signal Classification. Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang |
| 2022 | Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. Zongyu Dai, Zhiqi Bu, Qi Long |
| 2022 | Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention. Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun-yan Yang |
| 2022 | Noise Robust Core-stable Coalitions of Hedonic Games. Prashant Trivedi, Nandyala Hemachandra |
| 2022 | Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. You-Lin Chen, Zhiqiang Xu, Ping Li |
| 2022 | On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. Jinyan Su, Jinhui Xu, Di Wang |
| 2022 | On the Convergence of Decentralized Adaptive Gradient Methods. Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li |
| 2022 | On the Episodic Difficulty of Few-shot Learning. Yunwei Bai, Zhenfeng He, Junfeng Hu |
| 2022 | On the Interpretability of Attention Networks. Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy |
| 2022 | On the expressivity of bi-Lipschitz normalizing flows. Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi |
| 2022 | One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization. Tuan-Anh Nguyen, Kim Thang Nguyen, Denis Trystram |
| 2022 | Out of Distribution Detection via Neural Network Anchoring. Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2022 | Pose Guided Human Image Synthesis with Partially Decoupled GAN. Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao |
| 2022 | Position-dependent partial convolutions for supervised spatial interpolation. Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2022 | Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking. Rui Li, Xiao Li |
| 2022 | Probabilistic Fusion of Neural Networks that Incorporates Global Information. Peng Xiao, Biao Zhang, Samuel Cheng, Ke Wei, Shuqin Zhang |
| 2022 | ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra |
| 2022 | RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. Samartha S. Maheshwara, Naresh Manwani |
| 2022 | Robust Direct Learning for Causal Data Fusion. Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou |
| 2022 | Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. Francois Buet-Golfouse, Parth Pahwa |
| 2022 | Robust Scene Text Detection via Learnable Scene Transformations. Yuheng Cao, Mengjie Zhou, Jie Chen |
| 2022 | Robust computation of optimal transport by β-potential regularization. Shintaro Nakamura, Han Bao, Masashi Sugiyama |
| 2022 | SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. Zhongyi Han, Wan Su, Rundong He, Yilong Yin |
| 2022 | Semantic Cross Attention for Few-shot Learning. Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio |
| 2022 | Sliced Wasserstein variational inference. Mingxuan Yi, Song Liu |
| 2022 | Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation. Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei |
| 2022 | Towards Data-Free Domain Generalization. Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp |
| 2022 | Trusted Loss Correction for Noisy Multi-Label Learning. Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen |
| 2022 | Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency. Zhiwei Li, Weiling Cai, Cairun Wang |
| 2022 | Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. Sayak Ray Chowdhury, Rafael Oliveira |
| 2022 | When to Classify Events in Open Times Series? Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire |