Publications

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- - Kristjan Greenewald
  - Yuancheng Yu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
- - Irene Huang
  - Wei Lin
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Efficient multi-prompt evaluation of LLMs
- - Felipe Maia Polo
  - Ronald Xu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- - Tomoya Sakai
  - Haoxiang Qiu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- - Yunshi Wen
  - Tengfei Ma
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- - Wenzhi Fang
  - Dong-jun Han
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Selective Explanations
- - Lucas Monteiro Paes
  - Dennis Wei
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- - Quoc Tran-Dinh
  - Trang H. Tran
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Weak Supervision Performance Evaluation via Partial Identification
- - Felipe Maia Polo
  - Subha Maity
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Geometry of naturalistic object representations in recurrent neural network models of working memory
- - Xiaoxuan Lei
  - Taku Ito
  - et al.
- 2024
- NeurIPS 2024
Conference paper