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
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- - Fan Feng
  - Sara Magliacane
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- - Nicolas Menet
  - Michael Hersche
  - et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- - Ilze Amanda Auzina
  - Cagatay Yildiz
  - et al.
- 2023
- NeurIPS 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
- - Quan Xiao
  - Songtao Lu
  - et al.
- 2023
- NeurIPS 2023
Pairwise Causality Guided Transformers for Event Sequences
- - Xiao Shou
  - Debarun Bhattacharjya
  - et al.
- 2023
- NeurIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- - Shengcao Cao
  - Dhiraj Joshi
  - et al.
- 2023
- NeurIPS 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
- - Songtao Lu
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023