NeurIPS

Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev

Comments v3.0. Control experiments, further AIW problem versions, testing recent reasoning models. Short version appeared at NeurIPS Scientific Methods for Understanding Deep Learning Workshop (SciDL) 2024, https://openreview.net/forum?id=Mkl7dzjYiW

Order Theory in the Context of Machine Learning

Eric Dolores-Cuenca, Aldo Guzman-Saenz, Sangil Kim, Susana Lopez-Moreno, Jose Mendoza-Cortes

Comments We added experiments with ImageNet 100, and improved the exposition of the theory developed. Added examples. Poster presentation in NeurIPS WIML 2024, Talk in JMM 2025 section: Applied category theory II

GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages

Amir Hossein Kargaran, François Yvon, Hinrich Schütze

Comments NeurIPS 2024

Targeted Sequential Indirect Experiment Design

Elisabeth Ailer, Niclas Dern, Jason Hartford, Niki Kilbertus

Comments published at NeurIPS 2024

Optimal Batched Best Arm Identification

Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu

Comments 29 pages, 1 figure, 4 tables. Published in Proc. of the 38th Conference on Advances in Neural Information Processing Systems (NeurIPS 2024)

Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation

Damien de Mijolla, Hannan Saddiq, Kim Moore

Comments Accepted to NAACL 2025 main conference; Presented at Neurips Safe Generative AI workshop

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu

Comments 66 pages, 14 figures, 6 table. Hao-Lun Hsu and Weixin Wang contributed equally to this work. Published in Proc. of the 38th Conference on Advances in Neural Information Processing Systems (NeurIPS 2024)

ShiftAddNet: A Hardware-Inspired Deep Network

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Celine Lin

Comments Accepted by NeurIPS 2020

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Comments This paper has been accepted as a NeurIPS 2024 Poster

Digital Player: Evaluating Large Language Models based Human-like Agent in Games

Jiawei Wang, Kai Wang, Shaojie Lin, Runze Wu, Bihan Xu, Lingeng Jiang, Shiwei Zhao, Renyu Zhu, Haoyu Liu, Zhipeng Hu, Zhong Fan, Le Li, Tangjie Lyu, Changjie Fan

Comments neurips datasets and benchmarks 2024, not accepted

Cell-ontology guided transcriptome foundation model

Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

Comments Accepted to NeurIPS 2024 as Spotlight

Your contrastive learning problem is secretly a distribution alignment problem

Zihao Chen, Chi-Heng Lin, Ran Liu, Jingyun Xiao, Eva L Dyer

Comments 10 pages, 5 figures, NeurIPS 2024 submission, includes supplementary material

Journal ref Advances in Neural Information Processing Systems 37 (2025): 91597-91617

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data

Pei-Yau Weng, Minh Hoang, Lam M. Nguyen, My T. Thai, Tsui-Wei Weng, Trong Nghia Hoang

Comments Accepted at NeurIPS-24

The Effects of Multi-Task Learning on ReLU Neural Network Functions

Julia Nakhleh, Joseph Shenouda, Robert D. Nowak

Comments Expanded version of the NeurIPS 2024 paper "A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning."

Continual learning with the neural tangent ensemble

Ari S. Benjamin, Christian Pehle, Kyle Daruwalla

Comments Presented as a spotlight paper at NeurIPS, 2024

Journal ref Neural Information Processing Systems 34 (2024)

Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter

Comments Published at NeurIPS 2024, Github: https://ml-jku.github.io/UPT/

Inferring stochastic low-rank recurrent neural networks from neural data

Matthijs Pals, A Erdem Sağtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke

Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS) 2024

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks

Daniel Hothem, Ashe Miller, Timothy Proctor

Comments 24 pages, 4 figures, 4 tables, includes conference checklist

Journal ref Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

Data-Driven DRO and Economic Decision Theory: An Analytical Synthesis With Bayesian Nonparametric Advancements

Nicola Bariletto, Khai Nguyen, Nhat Ho

Comments This work significantly extends the analytical framework connecting DRO with economic decision theory, while also broadening the methodological scope of Bariletto and Ho's NeurIPS 2024 article, "Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization."

Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks

Thaddäus Wiedemer, Yash Sharma, Ameya Prabhu, Matthias Bethge, Wieland Brendel

Comments NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward

A Perspective on Symbolic Machine Learning in Physical Sciences

Nour Makke, Sanjay Chawla

Comments Machine Learning and the Physical Sciences Workshop at NeurIPS 2024

SBSC: Step-By-Step Coding for Improving Mathematical Olympiad Performance

Kunal Singh, Ankan Biswas, Sayandeep Bhowmick, Pradeep Moturi, Siva Kishore Gollapalli

Comments Published as a full conference paper at ICLR 2025. Shorter(Early) Version accepted at NeurIPS'24 MATH-AI track

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng

Comments accepted by NeurIPS 2024

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs

Navya Jain, Zekun Wu, Cristian Munoz, Airlie Hilliard, Xin Guan, Adriano Koshiyama, Emre Kazim, Philip Treleaven

Comments Findings paper of NAACL 2025 and NeurIPS 2024 Workshop on Behavioral Machine Learning

Journal ref Findings paper of NAACL 2025 and NeurIPS 2024 Workshop on Behavioral Machine Learning

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition

Liang Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang

Comments Accepted by NeurIPS 2023

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

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

Chris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo, Gunhee Kim

Comments NeurIPS 2024

Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron

Christian Schmid, James M. Murray

Comments NeurIPS 2024 camera ready version v3: Minor typo corrected

FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?

Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang

Comments NeurIPS 2024, 20 pages, 7 figures

A Compositional Atlas for Algebraic Circuits

Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi

Comments NeurIPS 2024

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

Comments ICLR 2025 Oral, NeurIPS 2024 Workshops on Adaptive Foundation Models (AFM) and Open World Agents (OWA), 30 pages