NeurIPS

Unsupervised segmentation of irradiation$\unicode{x2010}$induced order$\unicode{x2010}$disorder phase transitions in electron microscopy

Arman H Ter-Petrosyan, Jenna A Bilbrey, Christina M Doty, Bethany E Matthews, Le Wang, Yingge Du, Eric Lang, Khalid Hattar, Steven R Spurgeon

Comments 7 pages, 3 figures. Accepted to Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

Surrogate Modeling for Computationally Expensive Simulations of Supernovae in High-Resolution Galaxy Simulations

Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki R. Saitoh, Junichiro Makino, Shirley Ho

Comments 11 pages, 9 figures, Accepted for the NeurIPS 2023 AI4Science Workshop

The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale

Comments Socially Responsible Language Modelling Research (SoLaR) @ NeurIPs 2023

Graph-based Neural Weather Prediction for Limited Area Modeling

Joel Oskarsson, Tomas Landelius, Fredrik Lindsten

Comments 38 pages, 27 figures. Accepted to the Tackling Climate Change with Machine Learning workshop at NeurIPS 2023. Code available at: https://github.com/joeloskarsson/neural-lam

Towards Last-layer Retraining for Group Robustness with Fewer Annotations

Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar

Comments NeurIPS 2023

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

Comments NeurIPS 2023 camera ready. code and model available at https://github.com/bytedance/fc-clip

Resetting the Optimizer in Deep RL: An Empirical Study

Kavosh Asadi, Rasool Fakoor, Shoham Sabach

Comments Accepted at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Collaborative Learning via Prediction Consensus

Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi

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

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin C. C. Chang, Fei Huang, Reynold Cheng, Yongbin Li

Comments NeurIPS 2023

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs

Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun

Comments This paper was accepted in NeurIPS 2023

Zero-shot audio captioning with audio-language model guidance and audio context keywords

Leonard Salewski, Stefan Fauth, A. Sophia Koepke, Zeynep Akata

Comments NeurIPS 2023 - Machine Learning for Audio Workshop (Oral)

Sparsity-Preserving Differentially Private Training of Large Embedding Models

Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

Comments Neural Information Processing Systems (NeurIPS) 2023

Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

Comments M3L & InfoCog Workshops NeurIPS 23

MCMC to address model misspecification in Deep Learning classification of Radio Galaxies

Devina Mohan, Anna Scaife

Comments Accepted in Machine Learning and the Physical Sciences Workshop at NeurIPS 2023; 6 pages, 1 figure, 1 table

CP-SLAM: Collaborative Neural Point-based SLAM System

Jiarui Hu, Mao Mao, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

Comments Accepted at NeurIPS 2023

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar

Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng

Comments NeurIPS 2023

Cooperative AI via Decentralized Commitment Devices

Xinyuan Sun, Davide Crapis, Matt Stephenson, Barnabé Monnot, Thomas Thiery, Jonathan Passerat-Palmbach

Comments NeurIPS 2023- Multi-Agent Security Workshop

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion

Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup

Comments Accepted for publication at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Unsupervised Musical Object Discovery from Audio

Joonsu Gha, Vincent Herrmann, Benjamin Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan

Comments Accepted to Machine Learning for Audio Workshop, NeurIPS 2023

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis

Arghya Datta, Sayak Chakrabarty

Comments 15 pages, 1 figure, to appear in NeurIPS 2023. Update: included minor typographical corrections

Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series

Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, P. Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey

Comments 6 pages, 2 figures. Accepted by Medical Imaging Meets NeurIPS 2023

Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems

Robin Schmucker, Meng Xia, Amos Azaria, Tom Mitchell

Comments NeurIPS'23 GAIED, Camera-ready

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models

Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner

Comments NeurIPS 2023

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Eric Nguyen, Michael Poli, Marjan Faizi, Armin Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Chris Ré

Comments NeurIPS 2023 (Spotlight)

Tanimoto Random Features for Scalable Molecular Machine Learning

Austin Tripp, Sergio Bacallado, Sukriti Singh, José Miguel Hernández-Lobato

Comments Camera-ready version presented at NeurIPS 2023. Updates include: notation changes, better description of features in section 4, updated experiments, link to code

Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization

Swarnadeep Saha, Peter Hase, Mohit Bansal

Comments NeurIPS 2023 (23 pages, 12 figures). Our code is available at https://github.com/swarnaHub/ExplanationIntervention

STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events

Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji

Comments 27 pages, 9 figures, accepted for publication in NeurIPS 2023 Track on Datasets and Benchmarks

Diffused Redundancy in Pre-trained Representations

Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller

Comments NeurIPS 2023

Flat Seeking Bayesian Neural Networks

Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung, Trung Le

Comments Accepted at NeurIPS 2023

Journal ref Advances in Neural Information Processing Systems, 2023

Robust semi-supervised segmentation with timestep ensembling diffusion models

Margherita Rosnati, Melanie Roschewitz, Ben Glocker

Comments Published at Machine Learning for Health (ML4H) 2023, presented at Medical Imaging meets NeurIPS 2023 and Deep Generative Models for Health Workshop NeurIPS 2023