NeurIPS 2023 Conference Submissions

Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
Lalit Pandey, Samantha Marie Waters Wood, Justin Newell Wood
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
Adel Nabli, Eugene Belilovsky, Edouard Oyallon
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales López, Ingmar Posner, Xiaowen Dong
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Correlation Aware Sparsified Mean Estimation Using Random Projection
Shuli Jiang, Pranay Sharma, Gauri Joshi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
Yuyang Qiu, Uday Shanbhag, Farzad Yousefian
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
- Published: 21 Sept 2023, Last Modified: 13 Mar 2025
- NeurIPS 2023 poster
- Readers: Everyone
Statistically Valid Variable Importance Assessment through Conditional Permutations
Ahmad Chamma, Denis Engemann, Bertrand Thirion
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings
Giovanni De Felice, John Y Goulermas, Vladimir Gusev
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
BayesTune: Bayesian Sparse Deep Model Fine-tuning
Minyoung Kim, Timothy Hospedales
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Topological Obstructions and How to Avoid Them
Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Laura Fee Nern, Harsh Raj, Maurice Georgi, Yash Sharma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
Jingfeng Wu, Wennan Zhu, Peter Kairouz, Vladimir Braverman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Perez, Josef Sivic
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
Lingjiong Zhu, Mert Gurbuzbalaban, Anant Raj, Umut Simsekli
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank J. Reddi, Stefanie Jegelka, Ching-Yao Chuang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Gregory Dexter, Petros Drineas, David Woodruff, Taisuke Yasuda
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Transformers learn through gradual rank increase
Enric Boix-Adserà, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua M. Susskind
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone