NeurIPS

Recommender Systems with Generative Retrieval

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy

Comments To appear in The 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Performance evaluation of deep segmentation models for Contrails detection

Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth

Comments Accepted to Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022

Detecting hidden confounding in observational data using multiple environments

Rickard K. A. Karlsson, Jesse H. Krijthe

Comments NeurIPS 2023 camera-ready version; 30 pages including references and appendix

Gacs-Korner Common Information Variational Autoencoder

Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan Kao

Comments Accepted to NeurIPS 2023

Active Learning-Based Species Range Estimation

Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha

Comments NeurIPS 2023

Active Reasoning in an Open-World Environment

Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu

Comments Accepted to NeurIPS 2023

A Variational Perspective on High-Resolution ODEs

Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever

Comments 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products

Tamas Sarlos, Xingyou Song, David Woodruff, Qiuyi, Zhang

Comments Accepted and formatted in Neurips 2023

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White

Journal ref Thirty-seventh Conference on Neural Information Processing Systems, 2023

High Precision Causal Model Evaluation with Conditional Randomization

Chao Ma, Cheng Zhang

Comments NeurIPS 2023 Camera Ready version

Mix-ME: Quality-Diversity for Multi-Agent Learning

Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel

Comments 15 pages, 7 figures. Submitted and accepted to the ALOE workshop at NeurIPS 2023

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference

Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang

Comments Accepted by NeurIPS 2023

KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations

Gökberk Özsoy, Luis Salamanca, Matthew Connelly, Raymond Hicks, Fernando Pérez-Cruz

Comments 11 pages, 5 figures, 2 tables, submitted to NeurIPS databases. Mixed of social sciences and data analysis content

A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning

Bryan Chan, Karime Pereida, James Bergstra

Comments Accepted by NeurIPS 2023 Workshop on Robot Learning

E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Sneh Pandya, Purvik Patel, Franc O, Jonathan Blazek

Comments 10 pages, 4 figures, 3 tables, Accepted to the Machine Learning and the Physical Sciences Workshop at NeurIPS 2023

Invariant Causal Imitation Learning for Generalizable Policies

Ioana Bica, Daniel Jarrett, Mihaela van der Schaar

Journal ref In Proc. 35th International Conference on Neural Information Processing Systems (NeurIPS 2021)

Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows

Victor J. Leon, Noah Ford, Honest Mrema, Jeffrey Gilbert, Alexander New

Comments This work was accepted after peer-review and presented at the 2023 NeurIPS Machine Learning and the Physical Sciences workshop. https://ml4physicalsciences.github.io/2023/

Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization

Prakamya Mishra, Zonghai Yao, Shuwei Chen, Beining Wang, Rohan Mittal, Hong Yu

Comments To appear in NeurIPS 2023 Workshop SyntheticData4ML

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing

Jung Yeon Park, Lawson L. S. Wong, Robin Walters

Comments Accepted to NeurIPS 2023

How a student becomes a teacher: learning and forgetting through Spectral methods

Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli

Comments 10 pages + references + supplemental material. Poster presentation at NeurIPS 2023

Journal ref NeurIPS 2023

Rank-DETR for High Quality Object Detection

Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang

Comments NeurIPS 2023

Provably Convergent Data-Driven Convex-Nonconvex Regularization

Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb

Comments Accepted to NeurIPS 2023 Workshop on Deep Learning and Inverse Problems

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information

Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

Comments Accepted to NeurIPS 2023

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan

Comments NeurIPS 2023

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon

Comments NeurIPS 2023 (Oral)

Guiding Language Models of Code with Global Context using Monitors

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani

Comments Accepted to NeurIPS 2023 and to appear as "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context" at https://neurips.cc/virtual/2023/poster/70362 . Contents: 11 pages, 15 additional pages of appendix, 13 figures, 3 tables

Long Sequence Hopfield Memory

Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan

Comments NeurIPS 2023 Camera-Ready, 41 pages

Journal ref Advances in Neural Information Processing Systems 36 (2023)

Learning nonparametric latent causal graphs with unknown interventions

Yibo Jiang, Bryon Aragam

Comments To appear at NeurIPS 2023

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy

Comments Accepted to NeurIPS 2023

COLA: A Benchmark for Compositional Text-to-image Retrieval

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

Comments Accepted to NeurIPS 2023. Webpage: https://cs-people.bu.edu/array/research/cola/