NeurIPS 2023 Conference Submissions

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtárik
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
On Architectural Compression of Text-to-Image Diffusion Models
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven Hoi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Reese Anthis, Victor Veitch
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
Maximilien Dreveton, Felipe Schreiber Fernandes, Daniel R. Figueiredo
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Evaluating Neuron Interpretation Methods of NLP Models
Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Composing Parameter-Efficient Modules with Arithmetic Operation
Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Conformal Prediction for Time Series with Modern Hopfield Networks
Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generalized equivalences between subsampling and ridge regularization
Pratik Patil, Jin-Hong Du
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bezenac
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
YIMING WANG, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms
Kai Han, You Wu, He Huang, Shuang Cui
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization
Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
Semih Cayci, Atilla Eryilmaz
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
Ziheng Cheng, Shiyue Zhang, Longlin Yu, Cheng Zhang
- Published: 21 Sept 2023, Last Modified: 22 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Soft-Unification in Deep Probabilistic Logic
Jaron Maene, Luc De Raedt
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Robust covariance estimation with missing values and cell-wise contamination
gregoire pacreau, Karim Lounici
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Investigating how ReLU-networks encode symmetries
Georg Bökman, Fredrik Kahl
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
Jintong Gao, He Zhao, Zhuo Li, Dan dan Guo
- Published: 21 Sept 2023, Last Modified: 25 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone