NeurIPS

Exploring Dataset-Scale Indicators of Data Quality

Benjamin Feuer, Chinmay Hegde

Comments 1st Workshop on Attributing Model Behavior at Scale: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 7 pages, 1 figure

Cup Curriculum: Curriculum Learning on Model Capacity

Luca Scharr, Vanessa Toborek

Comments 14 pages, 5 figures, both including appendix, OPT 2023 workshop of NeurIPS 2023 conference

ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning

Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick

Comments To be published in the 37th Conference on Neural Information Processing Systems (NeurIPS 2023): Track on Datasets and Benchmarks. Project website: https://climateset.github.io/

PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2

Reza Akbarian Bafghi, Maziar Raissi

Comments Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

Generative Diffusion Models for Lattice Field Theory

Lingxiao Wang, Gert Aarts, Kai Zhou

Comments 6 pages, 3 figures, accepted at the NeurIPS 2023 workshop "Machine Learning and the Physical Sciences". Some contents overlap with arXiv:2309.17082

Cal-DETR: Calibrated Detection Transformer

Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan

Comments Accepted at NeurIPS 2023

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning

Yiyou Sun, Zhenmei Shi, Yixuan Li

Comments Accepted to NeurIPS 2023 (Spotlight)

Into the LAIONs Den: Investigating Hate in Multimodal Datasets

Abeba Birhane, Vinay Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni

Comments To appear at 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Datasets and Benchmarks Track. arXiv admin note: substantial text overlap with arXiv:2306.13141

Visualizing DNA reaction trajectories with deep graph embedding approaches

Chenwei Zhang, Khanh Dao Duc, Anne Condon

Comments Published in Machine Learning for Structural Biology Workshop, NeurIPS, 2022

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints

Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

Comments 44 pages, To Appear in NeurIPS 2023

DGFN: Double Generative Flow Networks

Elaine Lau, Nikhil Vemgal, Doina Precup, Emmanuel Bengio

Comments Accepted to NeurIPS 2023 Workshop

Towards Accelerated Model Training via Bayesian Data Selection

Zhijie Deng, Peng Cui, Jun Zhu

Comments NeurIPS 2023

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization

Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan

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

Loss Dynamics of Temporal Difference Reinforcement Learning

Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan

Comments Advances in Neural Information Processing Systems 36 (2023) Camera Ready

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset

Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Chi Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang

Comments Published at NeurIPS 2023

Graph Denoising Diffusion for Inverse Protein Folding

Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang

Comments NeurIPS 2023

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion

Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek

Comments Accepted by NeurIPS 2023

Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions

Duligur Ibeling, Thomas Icard

Comments NeurIPS 2023

MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models

Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew Watkins

Comments NeurIPS 2023 AI for Science Workshop

Size Matters: Large Graph Generation with HiGGs

Alex O. Davies, Nirav S. Ajmeri, Telmo M. Silva Filho

Comments Presented at the NeurIPS 2023 Synthetic Data Generation with Generative AI workshop

Birth of a Transformer: A Memory Viewpoint

Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Herve Jegou, Leon Bottou

Comments NeurIPS 2023

The Impact of Positional Encoding on Length Generalization in Transformers

Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

Comments Accepted at NeurIPS 2023; 15 pages and 22 pages Appendix

Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices

Guillaume Wang, Lénaïc Chizat

Comments 37 pages, 2 figures, 2 tables, to appear in NeurIPS 2023 Proceedings

Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach

Fabian Zaiser, Andrzej S. Murawski, Luke Ong

Comments NeurIPS 2023 version

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

Online learning of long-range dependencies

Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento

Comments Accepted at NeurIPS 2023

Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks

Blake Bordelon, Cengiz Pehlevan

Comments Advances in Neural Information Processing Systems 36 (2023) Camera Ready

Latent Diffusion for Language Generation

Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger

Comments NeurIPS 2023

Procedural Image Programs for Representation Learning

Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

Comments 29 pages, Accepted in the Conference on Neural Information Processing Systems 2022 (NeurIPS 2022)

Journal ref NeurIPS 2022

Non-Asymptotic Analysis of a UCB-based Top Two Algorithm

Marc Jourdan, Rémy Degenne

Comments 32 pages, 5 figures, 3 tables. To be published in the Thirty-seventh Conference on Neural Information Processing Systems

Geodesic Multi-Modal Mixup for Robust Fine-Tuning

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

Comments To appear at NeurIPS 2023