| 2020 | Localizing and Amortizing: Efficient Inference for Gaussian Processes. | Linfeng Liu, Liping Liu |
| 2020 | DFQF: Data Free Quantization-aware Fine-tuning. | Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen |
| 2020 | Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation. | Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He |
| 2020 | Scalable Calibration of Affinity Matrices from Incomplete Observations. | Wenye Li |
| 2020 | Monte-Carlo Graph Search: the Value of Merging Similar States. | Edouard Leurent, Odalric-Ambrym Maillard |
| 2020 | Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. | Nishma Laitonjam, Weipeng Huang, Neil J. Hurley |
| 2020 | Bridging Ordinary-Label Learning and Complementary-Label Learning. | Yasuhiro Katsura, Masato Uchida |
| 2020 | Foolproof Cooperative Learning. | Alexis Jacq, Julien Prolat, Matthieu Geist, Olivier Pietquin |
| 2020 | Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. | Weipeng Huang, Guangyuan Piao, Ral Moreno, Neil Hurley |
| 2020 | Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge. | Yang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian |
| 2020 | CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. | Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He |
| 2020 | Robust Deep Ordinal Regression under Label Noise. | Bhanu Garg, Naresh Manwani |
| 2020 | FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression. | Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu |
| 2020 | Boosting-Based Reliable Model Reuse. | Yao-Xiang Ding, Zhi-Hua Zhou |
| 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 | Bidirectional Dependency-Guided Attention for Relation Extraction. | Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang |
| 2020 | A Novel Higher-order Weisfeiler-Lehman Graph Convolution. | Clemens Damke, Vitalik Melnikov, Eyke Hllermeier |
| 2020 | Collaborative Exploration in Stochastic Multi-Player Bandits. | Hiba Dakdouk, Raphal Fraud, Nadge Varsier, Patrick Maill |
| 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 Dynamic Context Graph Embedding. | Chuanchang Chen, Yubo Tao, Hai Lin |
| 2020 | Constrained Reinforcement Learning via Policy Splitting. | Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami |
| 2020 | A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection. | Haofei Chen, Ya Liu, Japnit Kaur Ahuja, Daren Ler |
| 2020 | A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions. | Detong Chen |
| 2020 | Learning Interpretable Models using Soft Integrity Constraints. | Khaled Belahcne, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2020 | Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. | Anas Barakat, Pascal Bianchi |