NeurIPS

Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks

Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini

Comments Neural Information Processing Systems (NeurIPS) 2022. Workshop on Machine Learning for Autonomous Driving (ML4AD)

Journal ref Neural Information Processing Systems (NeurIPS) 2022. Workshop on Machine Learning for Autonomous Driving (ML4AD)

Considerations When Learning Additive Explanations for Black-Box Models

Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana

Comments Published at Machine Learning (2023). Previously titled "Learning Global Additive Explanations for Neural Nets Using Model Distillation". A short version was presented at NeurIPS 2018 Machine Learning for Health Workshop

Mean Estimation with User-level Privacy under Data Heterogeneity

Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar

Comments Conference version published at NeurIPS 2022

ARB: Advanced Reasoning Benchmark for Large Language Models

Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli, Paula Vidas, Alexander Kranias, John J. Nay, Kshitij Gupta, Aran Komatsuzaki

Comments Submitted to NeurIPS Datasets and Benchmarks Track

Efficient Learning of Discrete-Continuous Computation Graphs

David Friede, Mathias Niepert

Journal ref NeurIPS 34 (2021) 6720-6732

FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle

Meshia Cédric Oveneke, Rucha Vaishampayan, Deogratias Lukamba Nsadisa, Jenny Ambukiyenyi Onya

Comments 4 pages, 1 figure, 1 table, paper accepted at Black In AI at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA

Exploring the Sharpened Cosine Similarity

Skyler Wu, Fred Lu, Edward Raff, James Holt

Comments Accepted to I Can't Believe It's Not Better Workshop (ICBINB) at NeurIPS 2022

Adversarial Conversational Shaping for Intelligent Agents

Piotr Tarasiewicz, Sultan Kenjeyev, Ilana Sebag, Shehab Alshehabi

Journal ref NeurIPS Workshop on Efficient Natural Language and Speech Processing, 2021

Physics-aware Graph Neural Network for Accurate RNA 3D Structure Prediction

Shuo Zhang, Yang Liu, Lei Xie

Comments Accepted by the Machine Learning for Structural Biology Workshop (MLSB) at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

On Combining Expert Demonstrations in Imitation Learning via Optimal Transport

Ilana Sebag, Samuel Cohen, Marc Peter Deisenroth

Journal ref NeurIPS Workshop on Optimal Transport and Machine Learning, 2021

StyleGAN2-based Out-of-Distribution Detection for Medical Imaging

McKell Woodland, John Wood, Caleb O'Connor, Ankit B. Patel, Kristy K. Brock

Comments Extended abstract published in the "Medical Imaging Meets NeurIPS" workshop at NeurIPS 2022. Original abstract can be found at http://www.cse.cuhk.edu.hk/~qdou/public/medneurips2022/125.pdf

Journal ref Proceedings of Med-NeurIPS 2022

When are Local Queries Useful for Robust Learning?

Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell

Comments Accepted to NeurIPS 2022; V2 contains new results (Section 3.6) and an erratum from the previous version (Appendix C)

Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case

Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière

Comments Accepted to NeurIPS 2022

Can Information Flows Suggest Targets for Interventions in Neural Circuits?

Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover

Comments Accepted to the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). (29 pages; 61 figures)

Journal ref Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

The Value of Out-of-Distribution Data

Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein

Comments Previous versions of this work have been presented at the Out-of-Distribution Generalization in Computer Vision (OOD-CV) Workshop (ECCV 2022) and the Workshop on Distribution Shifts (NeurIPS 2022)

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7366-7389, 2023

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations

Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet

Comments NeurIPS 2022 Datasets and Benchmarks Track. This projects webpage is located at https://bit.ly/3CNOly4

Journal ref Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2022)

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

Jörg K. H. Franke, Frederic Runge, Frank Hutter

Comments 38 pages, Accepted at 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

On Point Affiliation in Feature Upsampling

Wenze Liu, Hao Lu, Yuliang Liu, Zhiguo Cao

Comments 17 pages. Extended version of NeurIPS 2022 paper "SAPA: Similarity-Aware Point Affiliation for Feature Upsampling" at arXiv:2209.12866v1. arXiv admin note: text overlap with arXiv:2209.12866

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent

Sebastian Dalleiger, Jilles Vreeken

Comments Accepted at NeurIPS 2022

Tensor Completion Made Practical

Allen Liu, Ankur Moitra

Comments NeurIPS 2020

Compositional Generalization from First Principles

Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel

Comments 9 pages, 5 figures, submitted to NeurIPS 2023

Distributionally Adaptive Meta Reinforcement Learning

Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

Comments NeurIPS 2022

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels

Alexander Moreno, Jonathan Mei, Luke Walters

Comments Submitted to Neurips 2023

Convex-Concave Min-Max Stackelberg Games

Denizalp Goktas, Amy Greenwald

Comments 25 pages, 4 tables, 1 figure, Forthcoming in NeurIPS 2021

Journal ref Advances in Neural Information Processing Systems 34 (2021)

EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry

Man Fai Wong, Xintong Qi, Chee Wei Tan

Comments Accepted by 2nd MATH-AI Workshop at NeurIPS'22

Journal ref Adv. Artif. Intell. Mach. Learn.(2023), 3(1):839-852

A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games

Chen Qiu, Yulin Wu, Weixin Huang, Botao Liu, Shaohuai Shi, Xuan Wang

Comments 9 pages, 5 figures, NIPS 2023

Data Poisoning Attack Aiming the Vulnerability of Continual Learning

Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim

Comments ICIP 2023 (NeurIPS 2022 ML Safety Workshop accepted paper)

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task

Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

Comments Published in Transactions on Machine Learning Research. Previous version accepted to Foundation Models for Decision Making Workshop at NeurIPS 2022

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism

Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell

Journal ref Published at NeurIPS 2021 and IEEE Transactions on Information Theory

Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction

Eduardo Soares, Emilio Vital Brazil, Karen Fiorela Aquino Gutierrez, Renato Cerqueira, Dan Sanders, Kristin Schmidt, Dmitry Zubarev

Comments 14 pages, 6 Figures, 5 tables. Submited to NEURIPS 2023, Under review