NeurIPS

UniGAD: Unifying Multi-level Graph Anomaly Detection

Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li

Comments Accepted by NeurIPS 2024. All codes can be found at https://github.com/lllyyq1121/UniGAD

CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction

Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan

Comments Accepted by NeurIPS 2024

LLM Vocabulary Compression for Low-Compute Environments

Sreeram Vennam, Anish Joishy, Ponnurangam Kumaraguru

Comments Machine Learning and Compression Workshop @ NeurIPS 2024

Acoustic Volume Rendering for Neural Impulse Response Fields

Zitong Lan, Chenhao Zheng, Zhiwei Zheng, Mingmin Zhao

Comments NeurIPS 2024 Spotlight

State Chrono Representation for Enhancing Generalization in Reinforcement Learning

Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang

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

Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh

Comments NeurIPS 2024

Clustering in Causal Attention Masking

Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 22 pages, 6 figures

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn

Comments Published in NeurIPS 2024, Datasets and Benchmarks Track

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation

Stefan Stojanovic, Yassir Jedra, Alexandre Proutiere

Comments Accepted for presentation at the Conference on Neural Information Processing Systems (NeurIPS) 2024

Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis

Michael Crawshaw, Mingrui Liu

Comments Neurips 2024

FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images

Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang

Comments Accepted by the NeurIPS 2024 (Spotlight). Homepage: https://thomas-wyh.github.io/

Getting By Goal Misgeneralization With a Little Help From a Mentor

Tu Trinh, Mohamad H. Danesh, Nguyen X. Khanh, Benjamin Plaut

Comments SATA Workshop @ NeurIPS 2024 (Towards Safe and Trustworthy Agents)

SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation

Prakhar Dixit, Tim Oates

Comments Accepted to the 4th MATH-AI Workshop at NeurIPS'24

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition

Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi

Journal ref NeurIPS 2024 Track Datasets and Benchmarks

FactorSim: Generative Simulation via Factorized Representation

Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber

Comments neurips 2024, project website: https://cs.stanford.edu/~sunfanyun/factorsim/

GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent

Hongtai Zeng, Chao Yang, Yanzhen Zhou, Cheng Yang, Qinglai Guo

Comments This paper has been accepted by 2024 Advances in Neural Information Processing Systems. The reviews and comments can be found in https://openreview.net/forum?id=m1PVjNHvtP

Unified Lexical Representation for Interpretable Visual-Language Alignment

Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He

Comments Accepted by NeurIPS 2024

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou

Comments Accepted by NeurIPS-24

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, Stefan Juergens, Lorenz Lechermann, Christian Nissler, Andrea Perl, Ulrich Voll, Min Yan, Markus Lienkamp

Comments Accepted to NeurIPS 2024 Datasets and Benchmarks Track

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A Smith, Ranjay Krishna

Comments Accepted to NeurIPS 2024. Project and codes url: https://visualsketchpad.github.io/

Simple and Effective Masked Diffusion Language Models

Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

Comments NeurIPS 2024. We provide the code at https://github.com/kuleshov-group/mdlm

GenAI Arena: An Open Evaluation Platform for Generative Models

Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen

Comments 9 pages,7 figures

Journal ref NeurIPS 2024

Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization

Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari

Comments Accepted to NeurIPS 2024; 33 pages, 6 figures

Stochastic Newton Proximal Extragradient Method

Ruichen Jiang, Michał Dereziński, Aryan Mokhtari

Comments Accepted to NeurIPS 2024; 35 pages, 3 figures

PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang

Comments Accepted by NeurIPS 2024. A Technical Report on a Chinese Medical Large Language Model

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction

Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue

Comments NeurIPS 2024

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

Comments Accepted at NeurIPS 2024

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Xinbing Wang, Chenghu Zhou

Comments Accepted in NeurIPS 2024 as a poster

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance

Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

Comments NeurIPS 2024

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwanghyun Kim, Jeewon Yang, Seunghyun Won, Edward Choi

Comments NeurIPS 2024 (Datasets and Benchmarks)