NeurIPS 2023 Conference Submissions

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Noether Embedding: Efficient Learning of Temporal Regularities
Chi Gao, Zidong Zhou, Luping Shi
- Published: 21 Sept 2023, Last Modified: 09 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
Michael Scholkemper, Michael T Schaub
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś, Tomasz Trzcinski
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Structure Learning with Adaptive Random Neighborhood Informed MCMC
Xitong Liang, Alberto Caron, Samuel Livingstone, Jim Griffin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao ZHANG, Tianyuan DAI, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Deep Fractional Fourier Transform
Hu Yu, Jie Huang, Lingzhi Li, Man Zhou, Feng Zhao
- Published: 21 Sept 2023, Last Modified: 24 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do
Sarah Asad Toonsi, Jeff S Shamma
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin CUI
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning Dictionary for Visual Attention
Yingjie Liu, Xuan Liu, Hui Yu, Xuan Tang, Xian Wei
- Published: 21 Sept 2023, Last Modified: 14 Nov 2024
- NeurIPS 2023 poster
- Readers: Everyone
Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model
Hui Guo, Boyu Wang, Grace Yi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Cookie Consent Has Disparate Impact on Estimation Accuracy
Erik Miehling, Rahul Nair, Elizabeth M. Daly, Karthikeyan Natesan Ramamurthy, Robert Nelson Redmond
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Wasserstein distributional robustness of neural networks
Xingjian Bai, Guangyi He, Yifan Jiang, Jan Obloj
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Faster Margin Maximization Rates for Generic Optimization Methods
Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob Abernethy
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Ibrahim Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer
- Published: 21 Sept 2023, Last Modified: 09 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
Dong-Kyum Kim, Jea Kwon, Meeyoung Cha, C. Justin Lee
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Meta-in-context learning in large language models
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X Wang, Eric Schulz
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Joint Data-Task Generation for Auxiliary Learning
Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone