NeurIPS

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Vikram Voleti, Christopher Pal, Adam Oberman

Comments NeurIPS 2022 Workshop ; 4 pages, 1 page of references, 18 pages of appendix, 2 figures

Journal ref NeurIPS 2022 Workshop on Score-Based Methods

Membership Inference Attacks via Adversarial Examples

Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier

Comments Trustworthy and Socially Responsible Machine Learning (TSRML 2022) co-located with NeurIPS 2022

Test-Time Adaptation via Conjugate Pseudo-labels

Sachin Goyal, Mingjie Sun, Aditi Raghunathan, Zico Kolter

Comments Published in Neural Information Processing Systems (NeurIPS) 2022

Physics-informed neural networks for modeling rate- and temperature-dependent plasticity

Rajat Arora, Pratik Kakkar, Biswadip Dey, Amit Chakraborty

Comments 11 pages, 7 figures; Accepted in NeurIPS 2022, Machine Learning and the Physical Sciences workshop

Can denoising diffusion probabilistic models generate realistic astrophysical fields?

Nayantara Mudur, Douglas P. Finkbeiner

Comments 8 pages, 3 figures, Accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 2022

Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions

Michael Alan Chang, Shiran Dudy

Comments 3 pages, Human-Centered AI workshop

Journal ref Human-Centered AI workshop (HCAI) 2022, NEURIPS

One Venue, Two Conferences: The Separation of Chinese and American Citation Networks

Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra

Comments Workshop on Cultures of AI and AI for Culture @ NeurIPS 2022

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark

Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori

Comments NeurIPS 2022 Workshop on Human Evaluation of Generative Models (HEGM)

Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning

Alex Beeson, Giovanni Montana

Comments 3rd Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2022

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions

Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar

Comments Accepted to NeurIPS Workshop on Transfer Learning for Natural Language Processing, 2022, New Orleans

Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models

Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite

Comments NeuRIPS 2022 HADR workshop submission

DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations)

Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele-Alessandro Bucci

Journal ref Machine Learning and the Physical Sciences workshop, NeurIPS 2022, Dec 2022, New-Orleans, United States

A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training

Marcus Münzer, Chris Bard

Journal ref Machine Learning and the Physical Sciences Workshop, NeurIPS 2022

Desiderata for next generation of ML model serving

Sherif Akoush, Andrei Paleyes, Arnaud Van Looveren, Clive Cox

Comments Accepted at NeurIPS 2022 Workshop on Challenges in Deploying and Monitoring Machine Learning Systems

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar

Comments Outstanding Paper Award at NeurIPS 2022. Project website: https://minedojo.org

Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi

Comments Accepted at NeurIPS 2022

Improving Intrinsic Exploration with Language Abstractions

Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah Goodman, Tim Rocktäschel, Edward Grefenstette

Comments NeurIPS 2022

Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries

Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang

Comments An extended abstract of this work was published under the title "Oracle-efficient Online Learning for Smoothed Adversaries'' in the Proceedings of the 36th Conference on Neural Information Processing Systems

Riemannian Score-Based Generative Modelling

Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet

Comments Neurips 2022 camera ready

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction

Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai

Comments Deep RL Workshop, NeurIPS 2022

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan Lavista Ferres

Comments Accepted for presentation in AI+HADR workshop, Neurips 2022

Model-based Trajectory Stitching for Improved Offline Reinforcement Learning

Charles A. Hepburn, Giovanni Montana

Comments Offline RL Workshop at Neural Information Processing Systems, 2022

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift

Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu

Comments 11 pages, 5 figures, already accepted by NeurIPS 2022 Distribution Shifts Workshop

Differentiable Physics-based Greenhouse Simulation

Nhat M. Nguyen, Hieu T. Tran, Minh V. Duong, Hanh Bui, Kenneth Tran

Comments Accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 2022. 7 pages, 2 figures

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

Comments Accepted to NeurIPS 2022

High-Order Optimization of Gradient Boosted Decision Trees

Jean Pachebat, Sergei Ivanov

Comments NeurIPS 2022 Workshop: Order up! The Benefits of Higher-Order Optimization in Machine Learning

Cultural Re-contextualization of Fairness Research in Language Technologies in India

Shaily Bhatt, Sunipa Dev, Partha Talukdar, Shachi Dave, Vinodkumar Prabhakaran

Comments Accepted to NeurIPS Workshop on "Cultures in AI/AI in Culture". This is a non-archival short version, to cite please refer to our complete paper: arXiv:2209.12226

Finding active galactic nuclei through Fink

Etienne Russeil, Emille E. O. Ishida, Roman Le Montagner, Julien Peloton, Anais Moller

Comments Accepted for the Machine learning and the Physical Sciences workshop of NeurIPS 2022

Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models

Karan Uppal, Jaeah Kim, Shashank Singh

Comments To be published in Proceedings of the NeurIPS 2022 Gaze Meets ML Workshop

Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models

Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko Wainwright

Comments 5 pages, 2 figures, 1 table, Machine Learning and the Physical Sciences workshop, NeurIPS 2022