NeurIPS

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia

Comments NeurIPS 2024

Lightweight Correlation-Aware Table Compression

Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf

Comments Third Table Representation Learning Workshop (TRL @ NeurIPS 2024)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement

Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen

Comments NeurIPS 2024. TLDR: We leverage the sequential modeling ability of the transformer architecture and robust task representation learning via world model disentanglement to achieve efficient generalization in offline meta-RL

MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning

Andrei Manolache, Dragos Tantaru, Mathias Niepert

Comments Machine Learning for Structural Biology Workshop, NeurIPS 2024 v2: Added optimizer references

VHELM: A Holistic Evaluation of Vision Language Models

Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang

Comments NeurIPS 2024. First three authors contributed equally

Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection

Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

Comments NeurIPS 2024

ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi

Comments Accepted to NeurIPS 2024

One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang

Comments Accepted by NeurIPS 2024

Unsupervised Object Detection with Theoretical Guarantees

Marian Longa, João F. Henriques

Comments Accepted to NeurIPS 2024

Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering

Ido Sobol, Chenfeng Xu, Or Litany

Comments NeurIPS 2024. Project page: https://zero2hero-nvs.github.io

On the Noise Robustness of In-Context Learning for Text Generation

Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei

Comments Accepted by NeurIPS 2024

AutoPSV: Automated Process-Supervised Verifier

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Zhijiang Guo

Comments Accepted by NeurIPS 2024 Poster, 21 pages, 1 figure, 15 tables

Exclusively Penalized Q-learning for Offline Reinforcement Learning

Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han

Comments 10 technical page followed by references and appendix. Accepted to Neurips 2024 as spotlight paper

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models

Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin

Comments 17 pages, 5 figures, 4 tables. 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Efficient Sketches for Training Data Attribution and Studying the Loss Landscape

Andrea Schioppa

Journal ref Neurips 2024

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu

Comments NeurIPS 2024

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks

Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei

Comments Accepted by NeurIPS 2024

Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods

Felix Dangel

Comments 10 pages main text + appendix, conference version

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

Accelerating ERM for data-driven algorithm design using output-sensitive techniques

Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma

Comments 41 pages, 3 figures, accepted at NeurIPS 2024

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He

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

Spiking Graph Neural Network on Riemannian Manifolds

Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu

Comments Accepted by NeurIPS 2024, 30 pages

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation

Wenfang Yao, Chen Liu, Kejing Yin, William K. Cheung, Jing Qin

Comments Accepted by NeurIPS-24

RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification

Marco Mistretta, Andrew D. Bagdanov

Comments Accepted for publication at Medical Imaging meets NeurIPS (NeurIPS23)

Cross-model Control: Improving Multiple Large Language Models in One-time Training

Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao

Comments Accepted by NeurIPS 2024

Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation

Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Mathieu Lagrange, Brian McFee, Keisuke Imoto, Yuki Okamoto

Comments accepted to NeurIPS 2024 Workshop: Audio Imagination

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang

Comments 21 pages, Accepted by NeurIPS 2024 as a poster

OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking

Haiji Liang, Ruize Han

Comments 15 pages, 6 figures, accepted at NeurIPS 2024 Dataset and Benchmark Track

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang

Comments This paper is accepted to NeurIPS 2024

Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks

Anthony Baez, Wang Zhang, Ziwen Ma, Subhro Das, Lam M. Nguyen, Luca Daniel

Comments Accepted to NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers

SigCLR: Sigmoid Contrastive Learning of Visual Representations

Ömer Veysel Çağatan

Comments Neurips 2024 SSL Workshop