Publications

113 results at NeurIPS 2023

Towards a Statistical Theory of Learning to Learn In-context with Transformers
- - Youssef Mroueh
- 2023
- NeurIPS 2023
International Workshop on Federated Learning in the Age of Foundation Models
- - Jinghui Chen
  - Lixin Fan
  - 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
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
- - Zhiao Huang
  - Feng Chen
  - et al.
- 2023
- NeurIPS 2023
Adaptive Online Replanning with Diffusion Models
- - Siyuan Zhou
  - Yilun Du
  - et al.
- 2023
- NeurIPS 2023
Long Sequence Hopfield Memory
- - Hamza Tahir Chaudhry
  - Jacob Zavatone-veth
  - et al.
- 2023
- NeurIPS 2023
Max-Sliced Mutual Information
- - Dor Tsur
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - 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

	
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