| 2020 | A One-step Approach to Covariate Shift Adaptation. | Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama |
| 2020 | Efficient Attention Calibration Network for Real-Time Semantic Segmentation. | Hengfeng Zha, Rui Liu, Dongsheng Zhou, Xin Yang, Qiang Zhang, Xiaopeng Wei |
| 2020 | Geodesically-convex optimization for averaging partially observed covariance matrices. | Florian Yger, Sylvain Chevallier, Quentin Barthlemy, Suvrit Sra |
| 2020 | NENN: Incorporate Node and Edge Features in Graph Neural Networks. | Yulei Yang, Dongsheng Li |
| 2020 | Disentangled Representations for Sequence Data using Information Bottleneck Principle. | Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa |
| 2020 | Proxy Network for Few Shot Learning. | Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio |
| 2020 | Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks. | Lei Wu, Zhanxing Zhu |
| 2020 | Robust Document Distance with Wasserstein-Fisher-Rao metric. | Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu |
| 2020 | Deep Dynamic Boosted Forest. | Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang |
| 2020 | Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. | Jianxun Wang, David L. Roberts, Andinet Enquobahrie |
| 2020 | Thompson Sampling for Unsupervised Sequential Selection. | Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra |
| 2020 | Learning from Label Proportions with Consistency Regularization. | Kuen-Han Tsai, Hsuan-Tien Lin |
| 2020 | Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. | Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hllermeier |
| 2020 | Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling. | Aadirupa Saha |
| 2020 | Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification. | Xuena Ren, Dongming Zhang, Xiuguo Bao |
| 2020 | Randomness Efficient Feature Hashing for Sparse Binary Data. | Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni |
| 2020 | Scaling up Simhash. | Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi |
| 2020 | PSForest: Improving Deep Forest via Feature Pooling and Error Screening. | Shiwen Ni, Hung-Yu Kao |
| 2020 | Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. | Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran |
| 2020 | Learning Code Changes by Exploiting Bidirectional Converting Deviation. | Jia-Wei Mi, Shu-Ting Shi, Ming Li |
| 2020 | Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. | Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo |
| 2020 | {M. | Kaushalya Madhawa, Tsuyoshi Murata |
| 2020 | AARM: Action Attention Recalibration Module for Action Recognition. | Zhonghong Li, Yang Yi, Ying She, Jialun Song, Yukun Wu |
| 2020 | A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network. | Qidong Liu, Feng Tian, Weihua Ji, Qinghua Zheng |
| 2020 | Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. | Meng Liu, Ziwei Quan, Yong Liu |