NeurIPS 2023 Conference Submissions

Joint processing of linguistic properties in brains and language models
SUBBA REDDY OOTA, Manish Gupta, Mariya Toneva
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Carl Hvarfner, Erik Orm Hellsten, Frank Hutter, Luigi Nardi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance
Dario Paccagnan, Marco Campi, Simone Garatti
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
GEQ: Gaussian Kernel Inspired Equilibrium Models
Mingjie Li, Yisen Wang, Zhouchen Lin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Spectral Theory of Neural Prediction and Alignment
Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Nika Haghtalab, Chara Podimata, Kunhe Yang
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
$SE(3)$ Equivariant Convolution and Transformer in Ray Space
Yinshuang Xu, Jiahui Lei, Kostas Daniilidis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
Yankun Huang, Qihang Lin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
- Published: 21 Sept 2023, Last Modified: 15 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Multi-Fidelity Active Learning with GFlowNets
Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Joshua Benjamin Evans, Özgür Şimşek
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
- Published: 21 Sept 2023, Last Modified: 05 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Speculative Decoding with Big Little Decoder
Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Brain development dictates energy constraints on neural architecture search: cross-disciplinary insights on optimization strategies
Martin G Frasch
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Stein $\Pi$-Importance Sampling
Congye Wang, Wilson Ye Chen, Heishiro Kanagawa, Chris J. Oates
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament, Sam Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone