NeurIPS

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu

Comments Published in ACM SIGKDD 2023 & Presented in NeurIPS 2022 AI For Science Workshop

Kernel Interpolation with Sparse Grids

Mohit Yadav, Daniel Sheldon, Cameron Musco

Comments Accepted at Neural Information Processing Systems (NeurIPS) 2022

Collective Knowledge Graph Completion with Mutual Knowledge Distillation

Weihang Zhang, Ovidiu Serban, Jiahao Sun, Yi-ke Guo

Comments Accepted at ENLSP-II workshop at NeurIPS 2022

Fully Dynamic Algorithm for Constrained Submodular Optimization

Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam

Journal ref NeurIPS 2020

Towards Foundation Models for Relational Databases [Vision Paper]

Liane Vogel, Benjamin Hilprecht, Carsten Binnig

Comments Accepted at the Tabular Representation Learning Workshop at NeurIPS 2022 (TRL@NeurIPS2022)

Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control

Adam S. R. Parker, Michael R. Dawson, Patrick M. Pilarski

Comments 12 pages inc. supplementary, 7 figures, 3 algorithms, Published the NeurIPS Workshop on Human in the Loop Learning, Nov 28 - Dec 8 2022

Efficient Automatic Machine Learning via Design Graphs

Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying

Comments NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022). 20 Pages

On the Maximum Hessian Eigenvalue and Generalization

Simran Kaur, Jeremy Cohen, Zachary C. Lipton

Comments Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:51-65, 2023

QLoRA: Efficient Finetuning of Quantized LLMs

Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer

Comments Extended NeurIPS submission

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis

Shaocong Ma, Yi Zhou, Shaofeng Zou

Comments Accepted for publication in NeurIPS 2020

Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization

Simone Bombari, Mohammad Hossein Amani, Marco Mondelli

Comments Uniformed with the published NeurIPS 2022 version

Communicating Natural Programs to Humans and Machines

Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E Ecanow, Maxwell Nye, Michael Henry Tessler, Joshua B. Tenenbaum

Comments equal contributions: (author 1,2) and (author 3,4,5). 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks

Information-Ordered Bottlenecks for Adaptive Semantic Compression

Matthew Ho, Xiaosheng Zhao, Benjamin Wandelt

Comments 14 pages, 6 figures, 1 table, Submitted to NeurIPS 2023

PALBERT: Teaching ALBERT to Ponder

Nikita Balagansky, Daniil Gavrilov

Comments NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems 35, 2022, 14002-14012

Self-Supervised GAN Compression

Chong Yu, Jeff Pool

Comments The appendix for this paper is in the following repository https://gitlab.com/dxxz/Self-Supervised-GAN-Compression-Appendix

Journal ref NeurIPS 2020

CageViT: Convolutional Activation Guided Efficient Vision Transformer

Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng

Comments 9 pages, 3 figures, NeurIPS conference

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Comments Accepted to NeurIPS 2022

Model Fusion via Optimal Transport

Sidak Pal Singh, Martin Jaggi

Comments NeurIPS 2020 conference proceedings (early version featured in the Optimal Transport & Machine Learning workshop, NeurIPS 2019)

Learning to Learn Unlearned Feature for Brain Tumor Segmentation

Seungyub Han, Yeongmo Kim, Seokhyeon Ha, Jungwoo Lee, Seunghong Choi

Comments Medical Imaging Meets NeurIPS 2018

Federated Progressive Sparsification (Purge, Merge, Tune)+

Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, Jose Luis Ambite

Comments Accepted at the Workshop on Federated Learning: Recent Advances and New Challenges, in Conjunction with NeurIPS 2022 (FL-NeurIPS'22) 23 pages, 12 figures, 1 algorithm, 2 Tables

Structured Low-Rank Tensor Learning

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

Comments Accepted in OPT21, NeurIPS, 13 pages

Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates

Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox

Comments Work presented at NeurIPS 2022 Workshop on Learning from Time Series for Health (TS4H). arXiv admin note: substantial text overlap with arXiv:2302.11939

Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception

Marc Uecker, Tobias Fleck, Marcel Pflugfelder, J. Marius Zöllner

Comments Accepted at the NeurIPS 2022 Workshop on Machine Learning for Autonomous Driving (ML4AD). Changed in v3: corrected erroneously cited mIoU score for PolarNet

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles

Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha

Comments Paper published at NeurIPS 2021

Private and Communication-Efficient Algorithms for Entropy Estimation

Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Muñoz Medina, Umar Syed

Comments Originally published at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). This version corrects some errors in the original version

Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition

Yuling Yao, Luiz Max Carvalho, Diego Mesquita, Yann McLatchie

Comments An earlier version appeared at the NeurIPS 2022 Workshop on Score-Based Methods

Subquadratic Kronecker Regression with Applications to Tensor Decomposition

Matthew Fahrbach, Thomas Fu, Mehrdad Ghadiri

Comments 36 pages, 1 figure, 12 tables. arXiv admin note: text overlap with arXiv:2107.10654

Journal ref Advances in Neural Information Processing Systems 35 (2022): 28776-28789

On the Robustness of Graph Neural Diffusion to Topology Perturbations

Yang Song, Qiyu Kang, Sijie Wang, Zhao Kai, Wee Peng Tay

Journal ref NeurIPS 2022

Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift

Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter

Comments NeurIPS 2022

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert M. Branch, Hamid R. Arabnia

Comments 12 Pages, 2 figures, 4 tables, submitting to NIPS 2022

Journal ref Technologies, 2023