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14th ACML 2022: Hyderabad, India
- Vineeth N. Balasubramanian, Ivor W. Tsang
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Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. Proceedings of Machine Learning Research 189, PMLR 2022 - Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei:
Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation. - Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun-Yan Yang:
Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention. - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
When to Classify Events in Open Times Series? 1-16 - Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Graph annotation generative adversarial networks. 16 - Réda Alami:
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. 17-31 - Rushil Anirudh, Jayaraman J. Thiagarajan:
Out of Distribution Detection via Neural Network Anchoring. 32-47 - Yunwei Bai, Zhenfeng He, Junfeng Hu:
On the Episodic Difficulty of Few-shot Learning. 48-63 - Rimmon Bhosale, Mrinal Das:
Learning with Domain Knowledge to Develop Justifiable Convolutional Networks. 64-79 - Francois Buet-Golfouse, Parth Pahwa:
Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. 96-111 - Francois Buet-Golfouse, Islam Utyagulov:
Fairness Trade-Offs and Partial Debiasing. 112-136 - Yuheng Cao, Mengjie Zhou, Jie Chen:
Robust Scene Text Detection via Learnable Scene Transformations. 137-152 - Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai:
A two-stream convolution architecture for ESC based on audio feature distanglement. 153-168 - Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. 169-184 - Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen:
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility. 185-200 - You-Lin Chen, Zhiqiang Xu, Ping Li:
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. 201-216 - Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. 217-232 - Sayak Ray Chowdhury, Rafael Oliveira:
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. 249-264 - Zongyu Dai, Zhiqi Bu, Qi Long:
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. 265-279 - Zhijie Deng, Jun Zhu:
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. 280-295 - Shaochang Deng, Mengxiao Yin, Feng Yang:
A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. 296-310 - François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart:
Kernelized multi-graph matching. 311-326 - Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. 327-342 - Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen:
Trusted Loss Correction for Noisy Multi-Label Learning. 343-358 - Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Multi Label Loss Correction against Missing and Corrupted Labels. 359-374 - Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. 375-390 - Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu:
Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. 391-406 - Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu:
BeautifAI - Personalised Occasion-based Makeup Recommendation. 407-419 - Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara:
Position-dependent partial convolutions for supervised spatial interpolation. 420-435 - Zhongyi Han, Wan Su, Rundong He, Yilong Yin:
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. 436-451 - Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa:
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. 452-466 - Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari:
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. 467-482 - Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li:
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs. 483-498 - Jisui Huang, Na Lei:
3D Manifold Topology Based Medical Image Data Augmentation. 499-514 - Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang:
Embedding Adaptation Network with Transformer for Few-Shot Action Recognition. 515-530 - Pankaj Kumar:
Deep Reinforcement Learning for High-Frequency Market Making. 531-546 - Rui Li, Xiao Li:
Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking. 547-562 - Dongxu Li, Shaochen Wang, Kang Chen, Bin Li:
Contrastive Inductive Bias Controlling Networks for Reinforcement Learning. 563-578 - Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang:
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. 579-594 - Zhiwei Li, Weiling Cai, Cairun Wang:
Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency. 595-610 - Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. 611-626 - Chonghua Liao, Jiafan He, Quanquan Gu:
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. 627-642 - Bo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao:
FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization. 643-657 - Changjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta:
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE. 658-673 - Qingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu:
Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders. 674-689 - Siyu Ma, Yuting Liu, Dan Zeng, Yaxin Liao, Xiaoyu Xu, Shuiwang Li:
Learning Disentangled Representation in Pruning for Real-Time UAV Tracking. 690-705 - Samartha S. Maheshwara, Naresh Manwani:
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. 706-721 - Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui:
Asynchronous Personalized Federated Learning with Irregular Clients. 706-721 - Louis Mahon, Thomas Lukasiewicz:
Efficient Deep Clustering of Human Activities and How to Improve Evaluation. 722-737 - Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som:
Bootstrapping a high quality multilingual multimodal dataset for Bletchley. 738-753 - Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson:
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. 754-769 - Shintaro Nakamura, Han Bao, Masashi Sugiyama:
Robust computation of optimal transport by β-potential regularization. 770-785 - Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor:
BINAS: Bilinear Interpretable Neural Architecture Search. 786-801 - Tuan-Anh Nguyen, Kim Thang Nguyen, Denis Trystram:
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization. 802-815 - Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann:
Example or Prototype? Learning Concept-Based Explanations in Time-Series. 816-831 - Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy:
On the Interpretability of Attention Networks. 832-847 - Tejas Pote, Muhammad Athar Ganaie, Atif Hassan, Swanand R. Khare:
Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule. 848-863 - Lin Qiu, Vernon M. Chinchilli, Lin Lin:
Interpretable Representation Learning from Temporal Multi-view Data. 864-879 - Tim Schwabe, Tobias Glasmachers, Maribel Acosta:
AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. 880-894 - Vishwa Mohan Singh, Vibhor Saran, Pooja Kadambi:
Autonomous Myocardial Infarction Detection from Electrocardiogram with a Multi Label Classification Approach. 911-926 - Jinyan Su, Jinhui Xu, Di Wang:
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. 927-941 - Yuwei Sun, Ng S. T. Chong, Hideya Ochiai:
Feature Distribution Matching for Federated Domain Generalization. 942-957 - Priyabrata Sundaray, Yang Weng:
Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability. 958-973 - Chenmien Tan, Paul Weng:
CVaR-Regret Bounds for Multi-armed Bandits. 974-989 - Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama:
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization. 990-1005 - Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Domain Alignment Meets Fully Test-Time Adaptation. 1006-1021 - Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang:
FLVoogd: Robust And Privacy Preserving Federated Learning. 1022-1037 - Prashant Trivedi, Nandyala Hemachandra:
Noise Robust Core-stable Coalitions of Hedonic Games. 1038-1053 - Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi:
On the expressivity of bi-Lipschitz normalizing flows. 1054-1069 - Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan:
Constrained Contrastive Reinforcement Learning. 1070-1084 - Yaxuan Wang
Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning. 1085-1100 - Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. 1101-1116 - Kishan Wimalawarne, Taiji Suzuki:
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank. 1117-1132 - Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Pose Guided Human Image Synthesis with Partially Decoupled GAN. 1133-1148 - Peng Xiao, Biao Zhang, Samuel Cheng, Ke Wei, Shuqin Zhang:
Probabilistic Fusion of Neural Networks that Incorporates Global Information. 1149-1164 - Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio:
Semantic Cross Attention for Few-shot Learning. 1165-1180 - Chenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao:
An Enhanced Human Activity Recognition Algorithm with Positional Attention. 1181-1196 - Xuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan:
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding. 1197-1212 - Mingxuan Yi, Song Liu:
Sliced Wasserstein variational inference. 1213-1228 - Man-Jie Yuan, Wei Gao:
Learning with Interactive Models over Decision-Dependent Distributions. 1229-1244 - Wei Zhao, Steffen Eger:
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. 1245-1260 - Jian Zheng, Wenran Han, Ying Zhang, Shufan Ji:
EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search. 1261-1276 - Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu:
A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness. 1277-1292 - Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang:
Multi-scale Progressive Gated Transformer for Physiological Signal Classification. 1293-1308
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