Publications

113 results at NeurIPS 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- - Zhang-wei Hong
  - Aviral Kumar
  - et al.
- 2023
- NeurIPS 2023
Adaptive Online Replanning with Diffusion Models
- - Siyuan Zhou
  - Yilun Du
  - et al.
- 2023
- NeurIPS 2023
Max-Sliced Mutual Information
- - Dor Tsur
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- - Shuai Zhang
  - Hongkang Li
  - et al.
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- - Qinyi Chen
  - Negin Golrezaei
  - et al.
- 2023
- NeurIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2023
- NeurIPS 2023
3D-LLM: Injecting the 3D World into Large Language Models
- - Yining Hong
  - Haoyu Zhen
  - et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- - Haoyu Han
  - Xiaorui Liu
  - et al.
- 2023
- NeurIPS 2023