NeurIPS

GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps

Muhammad Umair Nasir, Steven James, Julian Togelius

Comments Accepted at 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang

Comments Accepted by NeurIPS 2024. 21 pages, 14 figures,7 tables

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks

Niket Patel, Ravid Shwartz-Ziv

Comments Accepted to Compression Workshop @ NeurIPS 2024

Breaking the curse of dimensionality in structured density estimation

Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam

Comments Work accepted to NeurIPS 2024

Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

Comments 69 pages. Accepted to NeurIPS 2024

Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics

Vineet Jagadeesan Nair

Comments Accepted to the Tackling Climate Change with Machine Learning workshop at NeurIPS 2024

MKGL: Mastery of a Three-Word Language

Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

Comments NeurIPS 2024 (spotlight)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models

Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

Comments accepted paper by NeurIPS

Task-oriented Time Series Imputation Evaluation via Generalized Representers

Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang

Comments 22 pages, 9 figures, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery

Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu

Comments Accepted at NeurIPS 2024

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?

Sicheng Wang, Che Liu, Rossella Arcucci

Comments Accepted by NeurIPS'24 Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond Workshop

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models

Cong Wan, Yuhang He, Xiang Song, Yihong Gong

Comments Accepted by NIPS 2024

Are Large Language Models Good Statisticians?

Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, Nan Tang

Comments Accepted by NeurIPS 2024 D&B. 34 pages, 11 figures, 21 tables

Needle In A Multimodal Haystack

Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang

Comments Accepted to NeurIPS 2024 Track Datasets and Benchmarks

An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding

Tong Wu, Yanpeng Zhao, Zilong Zheng

Comments Accepted by NeurIPS 2024

Universal In-Context Approximation By Prompting Fully Recurrent Models

Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H. S. Torr, Adel Bibi

Comments Published at NeurIPS 2024, Code at https://github.com/AleksandarPetrov/LSRL

PromptFix: You Prompt and We Fix the Photo

Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo

Comments Accepted to NeurIPS 2024

Score Distillation via Reparametrized DDIM

Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor Campagnolo Guizilini, Timur Bagautdinov, Vincent Sitzmann, Justin Solomon

Comments NeurIPS 2024. 28 pages, 30 figures. Revision: additional comparisons and ablations studies

Nuclear Norm Regularization for Deep Learning

Christopher Scarvelis, Justin Solomon

Comments NeurIPS 2024

Protecting Your LLMs with Information Bottleneck

Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

Comments Accepted by Neural Information Processing Systems (NeurIPS 2024)

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li

Comments Accepted by NeurIPS 2024, 23 pages

Policy Improvement using Language Feedback Models

Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

Comments NeurIPS 2024

An $α$-regret analysis of Adversarial Bilateral Trade

Yossi Azar, Amos Fiat, Federico Fusco

Comments The conference version of this paper appeared in NeurIPS 22, while a journal version was published in the Artificial Intelligence Journal. With respect to the previous arXiv version, the current one contains a revised proof of Theorem 6

Journal ref Artificial Intelligence, Volume 337, December 2024, 104231

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

Comments 16 pages

Journal ref NeurIPs 2024

S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning

Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen

Comments NeurIPS 2024 accepted

DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation

Zhiqi Li, Yiming Chen, Peidong Liu

Comments NeurIPS 2024

Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles

Qi Chen, Bowen Zhang, Gang Wang, Qi Wu

Comments Accepted by NeurIPS 2024

Flipping-based Policy for Chance-Constrained Markov Decision Processes

Xun Shen, Shuo Jiang, Akifumi Wachi, Kaumune Hashimoto, Sebastien Gros

Comments Accepted to NeurIPS 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

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

Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines

Edward Milsom, Ben Anson, Laurence Aitchison

Comments Neurips 2024 Camera Ready Version (without checklist)