NeurIPS 2023 Conference Submissions

A Unified Approach to Count-Based Weakly Supervised Learning
Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Peter Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
- Published: 21 Sept 2023, Last Modified: 23 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
On Single-Index Models beyond Gaussian Data
Aaron Zweig, Loucas Pillaud-Vivien, Joan Bruna
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Accelerating Motion Planning via Optimal Transport
An Thai Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
A General Framework for Robust G-Invariance in G-Equivariant Networks
Sophia Sanborn, Nina Miolane
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Towards Personalized Federated Learning via Heterogeneous Model Reassembly
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding
- Published: 21 Sept 2023, Last Modified: 23 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
Shuhan Tan, Tushar Nagarajan, Kristen Grauman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Distributionally Robust Linear Quadratic Control
Bahar Taskesen, Dan Andrei Iancu, Çağıl Koçyiğit, Daniel Kuhn
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Kaiyue Wen, Zhiyuan Li, Tengyu Ma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli, Tom Tirer, Joan Bruna
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Tree Variational Autoencoders
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E Vogt
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Cameron Omid Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Hanlin Zhu, Amy Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
EgoEnv: Human-centric environment representations from egocentric video
Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Debiasing Conditional Stochastic Optimization
Lie He, Shiva Kasiviswanathan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
Alicia Curth, Alan Jeffares, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 oral
- Readers: Everyone
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Variational Perspective on High-Resolution ODEs
Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On Computing Pairwise Statistics with Local Differential Privacy
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Change point detection and inference in multivariate non-parametric models under mixing conditions
Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang, OSCAR HERNAN MADRID PADILLA, Yi Yu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Brain encoding models based on multimodal transformers can transfer across language and vision
Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone