NeurIPS

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK

Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán-Casas

Comments Accepted in the Tackling Climate Change with Machine Learning Workshop@NeurIPS 2023, 8 pages, 2 figures

Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems

Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee

Comments Revision of the paper accepted by NeurIPS 2022

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining

Jacob Portes, Alex Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle

Comments 10 pages, 4 figures in main text. 25 pages total

Journal ref NeurIPS 2023

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

Jan Schuchardt, Yan Scholten, Stephan Günnemann

Comments Accepted at NeurIPS 2023

$\varepsilon$-fractional Core Stability in Hedonic Games

Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio

Comments Accepted as poster at NeurIPS 2023

How do Minimum-Norm Shallow Denoisers Look in Function Space?

Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry

Comments Thirty-seventh Conference on Neural Information Processing Systems

SoundCam: A Dataset for Finding Humans Using Room Acoustics

Mason Wang, Samuel Clarke, Jui-Hsien Wang, Ruohan Gao, Jiajun Wu

Comments In NeurIPS 2023 Datasets and Benchmarks Track. Project page: https://masonlwang.com/soundcam/. Wang and Clarke contributed equally to this work

Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder

Michael Bereket, Theofanis Karaletsos

Comments Presented at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (Post-NeurIPS fixes: cosmetic fixes, updated references, added simulation to appendix)

Should Under-parameterized Student Networks Copy or Average Teacher Weights?

Berfin Şimşek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea

Comments 41 pages, presented at NeurIPS 2023

The Memory Perturbation Equation: Understanding Model's Sensitivity to Data

Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan

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

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

Zitong Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo

Comments Accepted at NeurIPS Track on Datasets and Benchmarks, 2023

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

Comments NeurIPS 2023. 10 pages

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

Hao Li, Jingkuan Song, Lianli Gao, Xiaosu Zhu, Heng Tao Shen

Comments Accepted to NeurIPS 2023

Learning to Taste: A Multimodal Wine Dataset

Thoranna Bender, Simon Moe Sørensen, Alireza Kashani, K. Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg

Comments Accepted to NeurIPS 2023. See project page: https://thoranna.github.io/learning_to_taste/

RanPAC: Random Projections and Pre-trained Models for Continual Learning

Mark D. McDonnell, Dong Gong, Amin Parveneh, Ehsan Abbasnejad, Anton van den Hengel

Comments 32 pages, 11 figures

Journal ref 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

Jihao Andreas Lin, Javier Antorán, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato, Alexander Terenin

Journal ref Advances in Neural Information Processing Systems, 2023

A Smooth Binary Mechanism for Efficient Private Continual Observation

Joel Daniel Andersson, Rasmus Pagh

Comments Appeared at NeurIPS 2023

Residual Q-Learning: Offline and Online Policy Customization without Value

Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan

Comments Accepted by 37th Conference on Neural Information Processing Systems (NeurIPS 2023). The first two authors contributed equally

AQuA: A Benchmarking Tool for Label Quality Assessment

Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski

Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks. Source code can be found at www.github.com/autonlab/aqua/

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models

Naoki Egami, Musashi Hinck, Brandon M. Stewart, Hanying Wei

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

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

Comments Accepted to NeurIPS 2023

Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption

Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang

Comments NeurIPS 2023. 35 pages, 8 figures

Koopman Kernel Regression

Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche

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

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

Comments NeurIPS 2023 (oral). Code: https://github.com/Ber666/ToolkenGPT

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov, Ekaterina Lobacheva

Comments Published in NeurIPS 2023. First two authors contributed equally

Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off

Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans

Comments NeurIPS 2023

Contrastive Active Inference

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Comments Accepted as a conference paper at 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization

Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra

Comments Neurips workshop on Tackling Climate Change 2023

Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints

Eduardo S. Laber, Lucas Murtinho

Comments Presented at Neurips 2023. 20 pages, 5 figures

ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts

Vishruth Veerendranath, Vibha Masti, Utkarsh Gupta, Hrishit Chaudhuri, Gowri Srinivasa

Comments Presented at NeurIPS 2023 - ML For Audio workshop. To appear in proceedings of AIML Systems 2023 - Generative AI