NeurIPS

Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability

Jishnu Ray Chowdhury, Cornelia Caragea

Comments Accepted at NeurIPS 2023

A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space

Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini

Comments Accepted in NeurIPS 2023

Class-Incremental Continual Learning for General Purpose Healthcare Models

Amritpal Singh, Mustafa Burak Gurbuz, Shiva Souhith Gantha, Prahlad Jasti

Comments 4 pages, 1 Figure. Accepted in NeurIPS 2023 (Medical Imaging meets NeurIPS Workshop)

Lie Point Symmetry and Physics Informed Networks

Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh

Comments NeurIPS 2023

Holistic Evaluation of Text-To-Image Models

Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang

Comments NeurIPS 2023. First three authors contributed equally

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

Comments This paper has been accepted by NeurIPS 2023

Journal ref Thirty-seventh Conference on Neural Information Processing Systems(NeurIPS 2023)

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields

Injae Kim, Minhyuk Choi, Hyunwoo J. Kim

Comments Neural Information Processing Systems (NeurIPS), 2023. The code is available at https://github.com/mlvlab/UP-NeRF

Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

Hussein Mozannar, Jimin J Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag

Comments NeurIPS 2023 Spotlight

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

Journal ref NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models 2023(NeurIPS 2023)

A Partially Supervised Reinforcement Learning Framework for Visual Active Search

Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik

Comments 26 pages, 20 figures, Accepted to NeurIPS 2023, Code is available at https://github.com/anindyasarkarIITH/PSRL_VAS/

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez

Comments 10 pages

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

Efficient Beam Tree Recursion

Jishnu Ray Chowdhury, Cornelia Caragea

Comments Accepted in NeurIPS 2023

Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features

Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica, Julius von Kügelgen, Bernhard Schölkopf

Comments NeurIPS 2023 Camera-Ready

Adaptive Linear Estimating Equations

Mufang Ying, Koulik Khamaru, Cun-Hui Zhang

Comments Paper is accepted at NeurIPS 2023

Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games

Gabriele Farina, Charilaos Pipis

Comments Accepted for publication at NeurIPS 2023

What Can We Learn from Unlearnable Datasets?

Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein

Comments Accepted to NeurIPS 2023. Code available at https://github.com/psandovalsegura/learn-from-unlearnable

Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning

Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak

Comments Accepted for NeurIPS 2023. Changes in this version: refined title, restructured content, included new out-of-distribution experiments, and code now available

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web

Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos

Comments Accepted to NeurIPS 2023 Datasets & Benchmarks Track

Robust Mean Estimation Without Moments for Symmetric Distributions

Gleb Novikov, David Steurer, Stefan Tiegel

Comments Accepted at NeurIPS 2023

Zero-Shot Anomaly Detection via Batch Normalization

Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt

Comments accepted at NeurIPS 2023

Sharp Spectral Rates for Koopman Operator Learning

Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil

Comments Accepted to the thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Joint processing of linguistic properties in brains and language models

Subba Reddy Oota, Manish Gupta, Mariya Toneva

Comments 22 pages, 12 figures, To be published in the proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA

Spectral Evolution and Invariance in Linear-width Neural Networks

Zhichao Wang, Andrew Engel, Anand Sarwate, Ioana Dumitriu, Tony Chiang

Comments Accepted by NeurIPS 2023

When to Update Your Model: Constrained Model-based Reinforcement Learning

Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

Comments NeurIPS 2022

Designing Robust Transformers using Robust Kernel Density Estimation

Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

Comments Accepted by NeurIPS 2023 as a poster; 23 pages, 5 figures, 11 tables

OpenML Benchmarking Suites

Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael G. Mantovani, Jan N. van Rijn, Joaquin Vanschoren

Comments Accepted for publication in the Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS 2021)

Journal ref Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021)

What is Lost in Knowledge Distillation?

Manas Mohanty, Tanya Roosta, Peyman Passban

Comments Accepted at the 3rd workshop on efficient natural language and speech processing (ENLSP, NeurIPS 2023)

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL

Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang

Comments 31 pages, 20 figures

Journal ref NeurIPS 2023

How to Scale Your EMA

Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb

Comments Spotlight at NeurIPS 2023, 53 pages, 32 figures, 17 tables

K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

Comments Accepted at NeurIPS 2022 Datasets and Benchmarks Track

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