NeurIPS

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox

Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

Comments Accepted at NeurIPS 2024 Datasets and Benchmarks

Interpretable Mesomorphic Networks for Tabular Data

Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka

Comments Accepted at NeurIPS 2024

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations

Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

Comments NeurIPS 2024

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization

Quoc Tran-Dinh, Trang H. Tran, Lam M. Nguyen

Comments 45 pages, 5 figures (38th Conference on Neural Information Processing Systems (NeurIPS 2024))

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

Motion Graph Unleashed: A Novel Approach to Video Prediction

Yiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann

Comments Accepted by NeurIPS 2024, 19 pages, 12 figures

Abrupt Learning in Transformers: A Case Study on Matrix Completion

Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu

Comments NeurIPS 2024 Poster

RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier

Pin-Yen Huang, Szu-Wei Fu, Yu Tsao

Comments Accepted at NeurIPS 2024 (Poster)

Where Do Large Learning Rates Lead Us?

Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov

Comments Published in NeurIPS 2024. First three authors contributed equally, last two authors share senior authorship

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient

Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen

Comments Paper published at NeurIPS 2024

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation

Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

Comments NeurIPS 2024

Minimum Entropy Coupling with Bottleneck

M. Reza Ebrahimi, Jun Chen, Ashish Khisti

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

Neural Experts: Mixture of Experts for Implicit Neural Representations

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould

Comments Accepted to NeurIPS 2024

Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis

Deepak Sridhar, Abhishek Peri, Rohith Rachala, Nuno Vasconcelos

Comments Accepted to NeurIPS 2024 conference. Project Page: https://deepaksridhar.github.io/factorgraphdiffusion.github.io/

Convergence of $\text{log}(1/ε)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

Ioannis Anagnostides, Tuomas Sandholm

Comments To appear at NeurIPS 2024

Identifying Selections for Unsupervised Subtask Discovery

Yiwen Qiu, Yujia Zheng, Kun Zhang

Comments NeurIPS 2024

MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps

Yating Xu, Chen Li, Gim Hee Lee

Comments Accepted by NeurIPS 2024

Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?

Amaya Gallagher-Syed, Elena Pontarini, Myles J. Lewis, Michael R. Barnes, Gregory Slabaugh

Comments Accepted at Workshop on Advancements In Medical Foundation Models (NeurIPS 2024)

Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning

Pouya M. Ghari, Yanning Shen

Comments Accepted to NeurIPS 2024

ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction

Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen

Comments Accepted by NeurIPS 2024. Retinex-theory, Mamba, Exposure Correction

Towards Multi-dimensional Explanation Alignment for Medical Classification

Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

Comments Accepted by NeurIPS 2024

SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan, Hanspeter Pfister

Comments Accepted by NeurIPS 2024. Project page: https://mengzibin.github.io/SocialGPT.github.io/

Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences

Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

Comments Accepted at NeurIPS 2024

BIFRÖST: 3D-Aware Image compositing with Language Instructions

Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue

Comments NeurIPS 2024, Code Available: https://github.com/lingxiao-li/Bifrost

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang

Comments Accepted by NeurIPS 2024

A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

Hoin Jung, Taeuk Jang, Xiaoqian Wang

Comments NeurIPS 2024 (Spotlight), the Thirty-Eighth Annual Conference on Neural Information Processing Systems

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

Comments Accepted to Proc. Annual Conference on Neural Information Processing Systems (NeurIPS) 2024. Webpage: https://github.com/aim-uofa/DiffewS

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization

Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao

Comments Accepted at the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS2024)

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

Donghwan Kim, Tae-Kyun Kim

Comments 17 pages, 7 figures, accepted NeurIPS 2024

Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD

Jie Hu, Yi-Ting Ma, Do Young Eun

Comments To appear in NeurIPS 2024

Tabular Data Generation using Binary Diffusion

Vitaliy Kinakh, Slava Voloshynovskiy

Comments Accepted to 3rd Table Representation Learning Workshop @ NeurIPS 2024