NeurIPS 2023 Conference Submissions

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
Alfredo De Goyeneche, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Yitan Cheng, Stella X. Yu, Michael Lustig
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
SQ Lower Bounds for Learning Mixtures of Linear Classifiers
Ilias Diakonikolas, Daniel Kane, Yuxin Sun
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
Daesung Kim, Hye Won Chung
- Published: 21 Sept 2023, Last Modified: 30 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing
Maofeng Tang, Andrei Liviu Cozma, Konstantinos Georgiou, Hairong Qi
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Rethinking the Backward Propagation for Adversarial Transferability
Xiaosen Wang, Kangheng Tong, Kun He
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao, Guansong Pang
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Module-wise Adaptive Distillation for Multimodality Foundation Models
Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
Swarnadeep Saha, Peter Hase, Mohit Bansal
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
Zhongqi Yue, Qianru Sun, Hanwang Zhang
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Amin Nejatbakhsh, Isabel Garon, Alex H Williams
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
Youbang Sun, Tao Liu, Ruida Zhou, Panganamala Kumar, Shahin Shahrampour
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
- Published: 21 Sept 2023, Last Modified: 07 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
Zihan Zhu, Ethan X Fang, Zhuoran Yang
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang, Sun Sun, Yaoliang Yu
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Equivariant Transfer Learning from Pretrained Models
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
Pulkit Verma, Rushang Karia, Siddharth Srivastava
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone