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2023 |
Wang, Xinqi |
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2023 |
Xu, Ziwei |
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2023 |
Wang, Zan |
| Retaining Knowledge for Learning with Dynamic Definition
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2023 |
Liu, Zichang |
| Sequence-to-Set Generative Models
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2023 |
Tang, Longtao |
| Network change point localisation under local differential privacy
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2023 |
Li, Mengchu |
| GriddlyJS: A Web IDE for Reinforcement Learning
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2023 |
Bamford, Christopher |
| Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
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2023 |
Maheshwari, Chinmay |
| Inductive Logical Query Answering in Knowledge Graphs
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2023 |
Galkin, Michael |
| Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
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2023 |
Gupta, Abhishek |
| Retrieval-Augmented Diffusion Models
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2023 |
Blattmann, Andreas |
| STaR: Bootstrapping Reasoning With Reasoning
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2023 |
Zelikman, Eric |
| Provable Defense against Backdoor Policies in Reinforcement Learning
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2023 |
Bharti, Shubham |
| A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
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2023 |
Zhang, Yaqian |
| Compressible-composable NeRF via Rank-residual Decomposition
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2023 |
Tang, Jiaxiang |
| Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
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2023 |
Nie, Allen |
| Hardness in Markov Decision Processes: Theory and Practice
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2023 |
Conserva, Michelangelo |
| Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
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2023 |
Shui, Zeren |
| Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
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2023 |
Gu, Xiang |
| Near-Optimal Multi-Agent Learning for Safe Coverage Control
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2023 |
Prajapat, Manish |
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