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| 2020 | A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network. Qidong Liu, Feng Tian, Weihua Ji, Qinghua Zheng |
| 2020 | A Novel Higher-order Weisfeiler-Lehman Graph Convolution. Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier |
| 2020 | A One-step Approach to Covariate Shift Adaptation. Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama |
| 2020 | A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak |
| 2020 | A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions. Detong Chen |
| 2020 | AARM: Action Attention Recalibration Module for Action Recognition. Zhonghong Li, Yang Yi, Ying She, Jialun Song, Yukun Wu |
| 2020 | Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation. Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He |
| 2020 | Bidirectional Dependency-Guided Attention for Relation Extraction. Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang |
| 2020 | Boosting-Based Reliable Model Reuse. Yao-Xiang Ding, Zhi-Hua Zhou |
| 2020 | Bridging Ordinary-Label Learning and Complementary-Label Learning. Yasuhiro Katsura, Masato Uchida |
| 2020 | CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He |
| 2020 | Collaborative Exploration in Stochastic Multi-Player Bandits. Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé |
| 2020 | Constrained Reinforcement Learning via Policy Splitting. Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami |
| 2020 | Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. Anas Barakat, Pascal Bianchi |
| 2020 | DFQF: Data Free Quantization-aware Fine-tuning. Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen |
| 2020 | Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo |
| 2020 | Deep Dynamic Boosted Forest. Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang |
| 2020 | Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel |
| 2020 | Disentangled Representations for Sequence Data using Information Bottleneck Principle. Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa |
| 2020 | Dual Learning: Theoretical Study and an Algorithmic Extension. Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu |
| 2020 | Efficient Attention Calibration Network for Real-Time Semantic Segmentation. Hengfeng Zha, Rui Liu, Dongsheng Zhou, Xin Yang, Qiang Zhang, Xiaopeng Wei |
| 2020 | Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge. Yang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian |
| 2020 | Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. Maanik Arora, Naresh Manwani |
| 2020 | FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression. Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu |
| 2020 | Foolproof Cooperative Learning. Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin |
| 2020 | Geodesically-convex optimization for averaging partially observed covariance matrices. Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra |
| 2020 | Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. Jianxun Wang, David L. Roberts, Andinet Enquobahrie |
| 2020 | Inverse Visual Question Answering with Multi-Level Attentions. Yaser Alwatter, Yuhong Guo |
| 2020 | Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay |
| 2020 | Learning Code Changes by Exploiting Bidirectional Converting Deviation. Jia-Wei Mi, Shu-Ting Shi, Ming Li |
| 2020 | Learning Dynamic Context Graph Embedding. Chuanchang Chen, Yubo Tao, Hai Lin |
| 2020 | Learning Interpretable Models using Soft Integrity Constraints. Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2020 | Learning from Label Proportions with Consistency Regularization. Kuen-Han Tsai, Hsuan-Tien Lin |
| 2020 | Localizing and Amortizing: Efficient Inference for Gaussian Processes. Linfeng Liu, Liping Liu |
| 2020 | Monte-Carlo Graph Search: the Value of Merging Similar States. Edouard Leurent, Odalric-Ambrym Maillard |
| 2020 | NENN: Incorporate Node and Edge Features in Graph Neural Networks. Yulei Yang, Dongsheng Li |
| 2020 | Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. Meng Liu, Ziwei Quan, Yong Liu |
| 2020 | PSForest: Improving Deep Forest via Feature Pooling and Error Screening. Shiwen Ni, Hung-Yu Kao |
| 2020 | Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley |
| 2020 | Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling. Aadirupa Saha |
| 2020 | Proceedings of The 12th Asian Conference on Machine Learning, ACML 2020, 18-20 November 2020, Bangkok, Thailand. Sinno Jialin Pan, Masashi Sugiyama |
| 2020 | Proxy Network for Few Shot Learning. Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio |
| 2020 | Randomness Efficient Feature Hashing for Sparse Binary Data. Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni |
| 2020 | Robust Deep Ordinal Regression under Label Noise. Bhanu Garg, Naresh Manwani |
| 2020 | Robust Document Distance with Wasserstein-Fisher-Rao metric. Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu |
| 2020 | Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier |
| 2020 | Scalable Calibration of Affinity Matrices from Incomplete Observations. Wenye Li |
| 2020 | Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley |
| 2020 | Scaling up Simhash. Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi |
| 2020 | Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification. Xuena Ren, Dongming Zhang, Xiuguo Bao |
| 2020 | Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran |
| 2020 | Thompson Sampling for Unsupervised Sequential Selection. Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra |
| 2020 | Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks. Lei Wu, Zhanxing Zhu |
| 2020 | {M. Kaushalya Madhawa, Tsuyoshi Murata |