NeurIPS

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi

Comments NeurIPS 2024

RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li

Comments Accepted by NeurIPS 2024 Datasets and Benchmarks Track

A Cross-Domain Benchmark for Active Learning

Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme

Comments Accepted at NeurIPS 24 in the Benchmarks and Datasets Track. Updated version of paper "Toward Comparable Active Learning" (arXiv:2311.18356). "Toward Comparable Active Learning" is deprecated, please use this version. arXiv admin note: text overlap with arXiv:2311.18356; text overlap with arXiv:2301.10625 by other authors

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Hoyeon Chang, Jinho Park, Seonghyeon Ye, Sohee Yang, Youngkyung Seo, Du-Seong Chang, Minjoon Seo

Comments Accepted at NeurIPS 2024

Towards Human-AI Complementarity with Prediction Sets

Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez

Comments Published in NeurIPS 2024

Scaling Law for Time Series Forecasting

Jingzhe Shi, Qinwei Ma, Huan Ma, Lei Li

Comments Accepted by NeurIPS 2024

LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

Comments NeurIPS 2024, Project page: https://lightgaussian.github.io/

Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors

Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman

Comments Accepted at NeurIPS 2024 Track Datasets & Benchmarks Track

Toward Optimal Search and Retrieval for RAG

Alexandria Leto, Cecilia Aguerrebere, Ishwar Bhati, Ted Willke, Mariano Tepper, Vy Ai Vo

Comments Accepted to NeurIPS 2024 Workshop ATTRIB

SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models

Bardiya Akhbari, Manish Gawali, Nicholas A. Dronen

Comments 10 pages, 8 figures, NeurIPS 2024 Datasets and Benchmarks track

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation

Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini

Comments Accepted at NeurIPS 2024

TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration

Yiwei Guo, Shaobin Zhuang, Kunchang Li, Yu Qiao, Yali Wang

Comments NeurIPS 2024

Communication-Efficient Federated Group Distributionally Robust Optimization

Zhishuai Guo, Tianbao Yang

Comments Accepted to NeurIPS 2024

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin

Comments NeurIPS 2024

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

SciDFM: A Large Language Model with Mixture-of-Experts for Science

Liangtai Sun, Danyu Luo, Da Ma, Zihan Zhao, Baocai Chen, Zhennan Shen, Su Zhu, Lu Chen, Xin Chen, Kai Yu

Comments 12 pages, 1 figure, 9 tables. Technical Report, accepted by NeurIPS 2024 Workshop FM4Science

Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning

Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli

Comments Accepted NeurIPS 2024

MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun

Comments Accepted to NeurIPS 2024 Datasets and Benchmarks Track (Spotlight)

Video Diffusion Models are Training-free Motion Interpreter and Controller

Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan

Comments Accepted by NeurIPS 2024. Project Page: https://xizaoqu.github.io/moft/

Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory

Pasan Dissanayake, Sanghamitra Dutta

Comments Accepted at NeurIPS 2024

Revisiting Ensembling in One-Shot Federated Learning

Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

Comments Accepted at NeurIPS 2024

Robust Fine-tuning of Zero-shot Models via Variance Reduction

Beier Zhu, Jiequan Cui, Hanwang Zhang

Comments Accepted to NeurIPS 2024

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen

Comments NeurIPS 2024

HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment

Yannis Belkhiter, Giulio Zizzo, Sergio Maffeis

Comments NeurIPS 2024 Workshop on Safe Generative Artificial Intelligence (SafeGenAI)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant

Yujia Zhou, Zheng Liu, Zhicheng Dou

Comments Accepted by NeurIPS 2024 (poster)

ScaleKD: Strong Vision Transformers Could Be Excellent Teachers

Jiawei Fan, Chao Li, Xiaolong Liu, Anbang Yao

Comments This work is accepted to NeurIPS 2024. The project page: https://github.com/deep-optimization/ScaleKD

LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

Zefan Qu, Ke Xu, Gerhard Petrus Hancke, Rynson W. H. Lau

Comments Accepted by NeurIPS 2024

Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback

Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert

Comments NeurIPS 2024

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

Comments 16 pages, 6 figures, 38th Conference on Neural Information Processing Systems, 2024

Understanding the Role of Equivariance in Self-supervised Learning

Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka

Comments Accepted at NeurIPS 2024

Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation

Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao

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