NeurIPS 2023 Conference Submissions

On Adversarial Training without Perturbing all Examples
Max Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Understanding the detrimental class-level effects of data augmentation
Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generative modeling for RNA splicing code predictions and design
Di Wu, Anupama Jha, San Jewell, Natalie Maus, Jacob R. Gardner, Yoseph Barash
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Versatile Energy-Based Probabilistic Models for High Energy Physics
Taoli Cheng, Aaron Courville
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Compositional Generalization from First Principles
Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
NAS-X: Neural Adaptive Smoothing via Twisting
Dieterich Lawson, Michael Y. Li, Scott Linderman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SpecTr: Fast Speculative Decoding via Optimal Transport
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
Marina Knittel, Max Springer, John P Dickerson, MohammadTaghi Hajiaghayi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Minimax-Optimal Location Estimation
Shivam Gupta, Jasper C.H. Lee, Eric Price, Paul Valiant
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
A polar prediction model for learning to represent visual transformations
Pierre-Etienne H Fiquet, Eero P Simoncelli
- Published: 21 Sept 2023, Last Modified: 09 Jun 2025
- NeurIPS 2023 poster
- Readers: Everyone
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt Kusner
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Michael Bereket, Theofanis Karaletsos
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Lu Yan, ZHUO ZHANG, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Ho Man Kwan, Ge Gao, Fan Zhang, Andy Gower, David Bull
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
No-Regret Online Prediction with Strategic Experts
Omid Sadeghi, Maryam Fazel
- Published: 21 Sept 2023, Last Modified: 10 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Uncovering motifs of concurrent signaling across multiple neuronal populations
Evren Gokcen, Anna Ivic Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
ELDEN: Exploration via Local Dependencies
Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
How to Scale Your EMA
Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russell Webb
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
$H$-Consistency Bounds: Characterization and Extensions
Anqi Mao, Mehryar Mohri, Yutao Zhong
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
Konstantin Makarychev, Sayak Chakrabarty
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Model-free Posterior Sampling via Learning Rate Randomization
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, pierre perrault, Michal Valko, Pierre MENARD
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone