Publications

113 results at NeurIPS 2023

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- - Zhang-wei Hong
  - Aviral Kumar
  - et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - 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
Long Sequence Hopfield Memory
- - Hamza Tahir Chaudhry
  - Jacob Zavatone-veth
  - et al.
- 2023
- NeurIPS 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- - Erik Altman
  - Jovan Blanusa
  - et al.
- 2023
- NeurIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- - Benedikt Blumenstiel
  - Johannes Jakubik
  - et al.
- 2023
- NeurIPS 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- - Hao Wang
  - Luxi He
  - et al.
- 2023
- NeurIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- - Weichao Mao
  - Haoran Qiu
  - et al.
- 2023
- NeurIPS 2023