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2021 |
Liao, Shizhong |
| Disagreement Options: Task Adaptation Through Temporally Extended Actions
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2021 |
Hutsebaut-Buysse, Matthias |
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2021 |
Wellmer, Zac |
| Goal Modelling for Deep Reinforcement Learning Agents
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2021 |
Leung, Jonathan |
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2021 |
Chauhan, Anand Vir Singh |
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2021 |
Li, Yinan |
| Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process
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2021 |
Ji, Yugang |
| Approximation Algorithms for Confidence Bands for Time Series
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2021 |
Tatti, Nikolaj |
| Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network
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2021 |
Guo, Pengxin |
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2021 |
Nimi, Sumaiya Tabassum |
| The Curious Case of Convex Neural Networks
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2021 |
Sivaprasad, Sarath |
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2021 |
Roy, Kaushik |
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2021 |
Luca, Martino Bernasconi de |
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2021 |
Liu, Chenyi |
| Deep Model Compression via Two-Stage Deep Reinforcement Learning
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2021 |
Zhan, Huixin |
| Deep Structural Point Process for Learning Temporal Interaction Networks
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2021 |
Cao, Jiangxia |
| Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach
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2021 |
He, Bingjie |
| Source Hypothesis Transfer for Zero-Shot Domain Adaptation
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2021 |
Sakai, Tomoya |
| Continual Learning with Dual Regularizations
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2021 |
Han, Xuejun |
| LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
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2021 |
Liu, Yanbin |
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