NeurIPS

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model

Jin Cui, Alexander Capstick, Payam Barnaghi, Gregory Scott

Comments NeurIPS 2024 workshop Time Series in the Age of Large Models. arXiv admin note: substantial text overlap with arXiv:2502.09173

Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks

Abhiroop Bhattacharya, Nandinee Haq

Comments Published In: 2024 NeurIPS Workshop on Time Series in the Age of Large Models

LeDex: Training LLMs to Better Self-Debug and Explain Code

Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

Comments This paper is accepted by The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning

Xi Chen, Shaofan Li

Comments 15 pages,14 figures

Journal ref NeurIPS 33 (2020)

Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation

Yikang Chen, Dehui Du, Lili Tian

Comments 51 pages, 15 figures. Accepted at NeurIPS 2024, see https://papers.nips.cc/paper_files/paper/2024/hash/ee94bf235482e4c1f689c04c81656dbf-Abstract-Conference.html

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed

Journal ref 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler

Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang

Comments NeurIPS Workshop on Table Representation Learning (NeurIPSW-TRL), 2024

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization

Kai Hu, Weichen Yu, Yining Li, Kai Chen, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Matt Fredrikson

Journal ref 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Federated Learning over Connected Modes

Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima

Comments 10 pages, 6 figures, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao

Comments NeurIPS 2024 Spotlight

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection

Dongsu Song, Daehwa Ko, Jay Hoon Jung

Comments Accepted as a poster at NeurIPS 2024

AdjointDEIS: Efficient Gradients for Diffusion Models

Zander W. Blasingame, Chen Liu

Comments NeurIPS 2024 conference paper

Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates

Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvari, Dale Schuurmans

Comments Updated version for a paper published at NeurIPS 2024

μP$^2$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara

Comments Final NeurIPS 2024 camera-ready version. Differences to v1: Cleaner Figure 1, added Appendix H.3.2 showing that even MLPs can transfer optimal HPs in some versions of SP on CIFAR-10, small improvements in writing

Higher-Order Message Passing for Glycan Representation Learning

Roman Joeres, Daniel Bojar

Comments Accepted to MLSB Workshop at NeurIPS 2024

Reranking Laws for Language Generation: A Communication-Theoretic Perspective

António Farinhas, Haau-Sing Li, André F. T. Martins

Comments NeurIPS 2024 (spotlight)

MeMo: Meaningful, Modular Controllers via Noise Injection

Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik

Comments NeurIPS 2024; 29 pages, 21 figures

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac

Comments NeurIPS 2024

A Planning Framework for Adaptive Labeling

Daksh Mittal, Yuanzhe Ma, Shalmali Joshi, Hongseok Namkoong

Comments A conference version of this work appeared at 2024 Conference on Neural Information Processing Systems, titled "Adaptive Labeling for Efficient Out-of-distribution Model Evaluation''

Graph Neural Networks for Efficient AC Power Flow Prediction in Power Grids

Seyedamirhossein Talebi, Kaixiong Zhou

Comments 12 pages, 6 figures, NeurIPS 2025, https://github.com/Amirtalebi83/GNN-OptimalPowerFlow

Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning

Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li

Comments accepted by The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Navigating Extremes: Dynamic Sparsity in Large Output Spaces

Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar

Comments 27 pages, 7 figures, NeurIPS 2024

Analysing the Residual Stream of Language Models Under Knowledge Conflicts

Yu Zhao, Xiaotang Du, Giwon Hong, Aryo Pradipta Gema, Alessio Devoto, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

Comments Foundation Model Interventions Workshop @ NeurIPS 2024

Gradient-free variational learning with conditional mixture networks

Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley

Comments 16 pages main text (3 figures), including references. 9 pages supplementary material (5 figures). Accepted at NeurIPS Bayesian Decision Making and Uncertainty Workshop (2024): https://neurips.cc/virtual/2024/98879

From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty

Maor Ivgi, Ori Yoran, Jonathan Berant, Mor Geva

Comments NeurIPS Workshop on Attributing Model Behavior at Scale (ATTRIB 2024)

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation

Eyal Michaeli, Ohad Fried

Comments Accepted to NeurIPS 2024

Entity Alignment with Noisy Annotations from Large Language Models

Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang

Journal ref NeurIPS 2024

Cascade of phase transitions in the training of Energy-based models

Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane

Comments 19 pages, 6 figures, accepted to Neurips2024

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

Transductive Active Learning: Theory and Applications

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

Comments accepted in NeurIPS 2024. arXiv admin note: text overlap with arXiv:2402.15441

Conformal Inverse Optimization

Bo Lin, Erick Delage, Timothy C. Y. Chan

Journal ref https://papers.nips.cc/paper_files/paper/2024/hash/7423902b5534e2b267438c85444a54b1-Abstract-Conference.html