NeurIPS 2023 Conference Submissions

Diffused Redundancy in Pre-trained Representations
Vedant Nanda, Till Speicher, John P Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On kernel-based statistical learning theory in the mean field limit
Christian Fiedler, Michael Herty, Sebastian Trimpe
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan, Yize Chen, Fangzhen Lin
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Fair Graph Distillation
Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Moral Responsibility for AI Systems
Sander Beckers
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener, Ofir Nachum, Joan Bruna
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Sorting with Predictions
Xingjian Bai, Christian Coester
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang, Junchi YANG, Amin Karbasi, Niao He
- Published: 21 Sept 2023, Last Modified: 09 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Error Discovery By Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao, Hao Ban, Kaiyi Ji
- Published: 21 Sept 2023, Last Modified: 03 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Stochastic Approximation Approaches to Group Distributionally Robust Optimization
Lijun Zhang, Peng Zhao, Zhenhua Zhuang, Tianbao Yang, Zhi-Hua Zhou
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Beyond Average Return in Markov Decision Processes
Alexandre Marthe, Aurélien Garivier, Claire Vernade
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms
Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
Beepul Bharti, Paul Yi, Jeremias Sulam
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Cross-Moment Approach for Causal Effect Estimation
Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Sparse Parameterization for Epitomic Dataset Distillation
Xing Wei, Anjia Cao, Funing Yang, Zhiheng Ma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone