NeurIPS 2023 Conference Submissions

Towards Optimal Effective Resistance Estimation
Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Geometric Transformer with Interatomic Positional Encoding
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Rotating Features for Object Discovery
Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Scaling MLPs: A Tale of Inductive Bias
Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Emergent and Predictable Memorization in Large Language Models
Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Gregory Anthony, Shivanshu Purohit, Edward Raff
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Stefania Ionescu, Yuhao Du, Kenneth Joseph, Aniko Hannak
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
Shu Tew, Mario Boley, Daniel F. Schmidt
- Published: 21 Sept 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Counterfactual Evaluation of Peer-Review Assignment Policies
Martin Saveski, Steven Jecmen, Nihar B Shah, Johan Ugander
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Emergent Communication for Rules Reasoning
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
- Published: 21 Sept 2023, Last Modified: 29 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The emergence of clusters in self-attention dynamics
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
An Inductive Bias for Tabular Deep Learning
Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal H Fadlallah
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
XYZ Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
CEIL: Generalized Contextual Imitation Learning
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Training Transformers with 4-bit Integers
Haocheng Xi, ChangHao Li, Jianfei Chen, Jun Zhu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Estimating Propensity for Causality-based Recommendation without Exposure Data
Zhongzhou Liu, Yuan Fang, Min Wu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Blockwise Parallel Transformers for Large Context Models
Hao Liu, Pieter Abbeel
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
XiMing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Matrix Compression via Randomized Low Rank and Low Precision Factorization
Rajarshi Saha, Varun Srivastava, Mert Pilanci
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
From Tempered to Benign Overfitting in ReLU Neural Networks
Guy Kornowski, Gilad Yehudai, Ohad Shamir
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone