NeurIPS

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks

Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

How degenerate is the parametrization of neural networks with the ReLU activation function?

Julius Berner, Dennis Elbrächter, Philipp Grohs

Comments Accepted at NeurIPS 2019

Journal ref Advances in Neural Information Processing Systems 32, 2019, pp. 7790-7801

Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning

David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson

Comments Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022, New Orleans, United States

Reconstruction-guided attention improves the robustness and shape processing of neural networks

Seoyoung Ahn, Hossein Adeli, Gregory J. Zelinsky

Comments paper accepted to SVRHM, Neurips workshop 2022

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan

Comments Project page with code, data, demos: https://webshop-pnlp.github.io. v3 is NeurIPS camera ready version. v4 fixes the choice oracle result as per https://github.com/princeton-nlp/WebShop/issues/15

Scalars are universal: Equivariant machine learning, structured like classical physics

Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith

Comments NeurIPS 2021

Journal ref Advances in Neural Information Processing Systems, 34, 28848-28863. 2021

NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures

Nasim Abdollahi, Seyed Ali Madani Tonekaboni, Jay Huang, Bo Wang, Stephen MacKinnon

Comments including supplementary materials 22 pages, 6 figures, 4 tables, presented at NeurIPS 2021 and ACS 2022

DivBO: Diversity-aware CASH for Ensemble Learning

Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

Comments with appendix, accepted by NeurIPS 2022

Optimization using Parallel Gradient Evaluations on Multiple Parameters

Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar

Comments Accepted at OPT workshop @ Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis

Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu

Comments Published in NeurIPS 2022

Journal ref NeurIPS 2022

Direct Advantage Estimation

Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf

Comments Published at NeurIPS 2022

Performance and utility trade-off in interpretable sleep staging

Irfan Al-Hussaini, Cassie S. Mitchell

Comments Spotlight paper at NeurIPS 2022 Workshop on Learning from Time Series for Health

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers

Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park

Comments Accepted to the 37th AAAI Conference on Artificial Intelligence (AAAI 2023) Main Track, DLDE-II NeurIPS 2022 Workshop (Spotlight), https://namgyukang.github.io/PIXEL/ (Project Page), https://github.com/NamGyuKang/CosineSampler (Customized CUDA) (17 pages, 17 figures)

Perturbation Learning Based Anomaly Detection

Jinyu Cai, Jicong Fan

Journal ref NeurIPS 2022

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths

Comments In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022), winner of Outstanding Paper Award

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

Yeoneung Kim, Insoon Yang, Kwang-Sung Jun

Comments accepted to neurips'22

A Simple Approach to Automated Spectral Clustering

Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang

Comments Accepted by NeurIPS 2022

Journal ref NeurIPS 2022

IKEA-Manual: Seeing Shape Assembly Step by Step

Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu

Comments NeurIPS 2022 Datasets and Benchmarks Track. Project page: https://cs.stanford.edu/~rcwang/projects/ikea_manual

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction

Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John Gregoire, Carla Gomes

Comments Accepted to NeurIPS 2022 AI for Science Workshop

Open-Set Multi-Source Multi-Target Domain Adaptation

Rohit Lal, Arihant Gaur, Aadhithya Iyer, Muhammed Abdullah Shaikh, Ritik Agrawal

Comments Accepted in NeurIPS 2021 Workshop on Pre-registration in Machine Learning

CoNT: Contrastive Neural Text Generation

Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

Comments Accepted by NeurIPS 2022

Imitating careful experts to avoid catastrophic events

Jack R. P. Hanslope, Laurence Aitchison

Comments 9 pages, 8 figures, accepted to NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics

Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems

Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N M Anoop Krishnan, Sayan Ranu

Comments Accepted at 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis

Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai, Roberto Novoa, James Zou

Comments NeurIPS 2022 Datasets and Benchmarks Track

Collaborating with language models for embodied reasoning

Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus

Comments Presented at NeurIPS 2022 Language and Reinforcement Learning Workshop (best paper) and NeurIPS 2022 Foundation Models for Decision Making Workshop. 4 pages main; 14 pages total (including references and appendix); 3 figures

Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization

Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman

Comments NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research

Neural Shape Deformation Priors

Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner

Comments NeurIPS 2022 Spotlight

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt

Comments Oral paper at NeurIPS 2022

Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm

Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

Comments Submitted

Journal ref Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Learning Equilibria in Matching Markets from Bandit Feedback

Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt

Comments Accepted to the Journal of the ACM; conference version appeared at NeurIPS 2021