Publications

113 results at NeurIPS 2023

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - et al.
- 2023
- NeurIPS 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
- - Chen Chen
  - Yuchen Hu
  - et al.
- 2023
- NeurIPS 2023
Energy Transformer
- - Benjamin Hoover
  - Yuchen Liang
  - et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- - Yuankai Luo
  - Lei Shi
  - et al.
- 2023
- 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
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- - Sivan Doveh
  - Assaf Arbelle
  - 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
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023