| 2021 | Bayesian Latent Factor Model for Higher-order Data. | Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao |
| 2021 | Modeling Risky Choices in Unknown Environments. | Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurlien Nioche, Arto Klami |
| 2021 | Local Aggressive Adversarial Attacks on 3D Point Cloud. | Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang |
| 2021 | Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning. | Jingyan Sui, Shizhe Ding, Ruizhi Liu, Liming Xu, Dongbo Bu |
| 2021 | Metric Learning for comparison of HMMs using Graph Neural Networks. | Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran |
| 2021 | Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector. | Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao |
| 2021 | Revisiting Weight Initialization of Deep Neural Networks. | Maciej Skorski, Alessandro Temperoni, Martin Theobald |
| 2021 | Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. | Chapman Siu, Jason Traish, Richard Yi Da Xu |
| 2021 | DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks. | Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao |
| 2021 | A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. | Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran |
| 2021 | Deep Structural Contrastive Subspace Clustering. | Bo Peng, Wenjie Zhu |
| 2021 | Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. | Shameem Ahamed Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas |
| 2021 | Layer-Wise Neural Network Compression via Layer Fusion. | James O'Neill, Greg Ver Steeg, Aram Galstyan |
| 2021 | Uplift Modeling with High Class Imbalance. | Otto Nyberg, Tomasz Kusmierczyk, Arto Klami |
| 2021 | Language Representations for Generalization in Reinforcement Learning. | Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley |
| 2021 | Quaternion Graph Neural Networks. | Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2021 | Expressive Neural Voice Cloning. | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley |
| 2021 | Bayesian nonparametric model for arbitrary cubic partitioning. | Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2021 | Pedestrian Wind Factor Estimation in Complex Urban Environments. | Sarah Mokhtar, Matthew Beveridge, Yumeng Melody Cao, Iddo Drori |
| 2021 | Penalty Method for Inversion-Free Deep Bilevel Optimization. | Akshay Mehra, Jihun Hamm |
| 2021 | On the Convex Combination of Determinantal Point Processes. | Tatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe |
| 2021 | Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions. | Tatsuya Matsuoka, Naoto Ohsaka |
| 2021 | Bayesian Inference for Optimal Transport with Stochastic Cost. | Anton Mallasto, Markus Heinonen, Samuel Kaski |
| 2021 | PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. | Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui |
| 2021 | Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. | Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jarvelin |