NeurIPS

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang

Comments Accepted at NeurIPS 2024

Motion Forecasting in Continuous Driving

Nan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang

Comments Accepted at NeurIPS 2024 Spotlight

DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

Bozhou Zhang, Nan Song, Li Zhang

Comments NeurIPS 2024

Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Zhiwei Lin, Yongtao Wang, Zhi Tang

Comments Accepted by NeurIPS 2024

Ordering-Based Causal Discovery for Linear and Nonlinear Relations

Zhuopeng Xu, Yujie Li, Cheng Liu, Ning Gui

Comments NeurIPS 2024 poster

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem

Fivos Kalogiannis, Jingming Yan, Ioannis Panageas

Comments To appear as a conference paper in NeurIPS 2024

A Simple Image Segmentation Framework via In-Context Examples

Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

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

Exploring Adversarial Robustness of Deep State Space Models

Biqing Qi, Yang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou

Comments Accepted to NeurIPS 2024

How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

Comments Advances in Neural Information Processing Systems 38 (NeurIPS 2024)

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu

Comments Accepted by NeurIPS'24. Codes are available at https://github.com/OPTML-Group/AdvUnlearn

LG-VQ: Language-Guided Codebook Learning

Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, linfeng Luo

Comments Accepted by NeurIPS 2024

Journal ref NeurIPS 2024

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

Comments Accepted by NeurIPS 2024

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records

Suhan Cui, Prasenjit Mitra

Comments Accepted by NeurIPS 2024

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

Comments Accepted by NeurIPS 2024. 24 pages

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model

Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

Comments Accepted to NeurIPS 2024

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

Comments Accepted by NeurIPS 2024

Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits

Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang

Comments 32 pages including appendix. To appear at NeurIPS 2024

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring

Jiangxin Dong, Stefan Roth, Bernt Schiele

Comments This work is an extension of our earlier conference version arXiv:2103.09962 that has appeared in NeurIPS 2020. This paper was accepted by TPAMI

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation

Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia

Comments Accepted by NeurIPS 2024

Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Jiawei Yao, Chuming Li, Canran Xiao

Comments Accepted by NeurIPS 2024. Project page: https://github.com/Alexander-Yao/Swift-Sampler

Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction

Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer

Comments 25 pages, 11 figures, neurips 2024

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

Raymond Zhang, Richard Combes

Comments NeurIPS 2024

ESPACE: Dimensionality Reduction of Activations for Model Compression

Charbel Sakr, Brucek Khailany

Comments Published as a paper at NeurIPS 2024

Diffusion Imitation from Observation

Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun

Comments NeurIPS 2024. Project page: https://nturobotlearninglab.github.io/DIFO

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback

Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

Comments Neurips 2024 camera-ready

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark

Comments Accepted to NeurIPS 2024 (Benchmark Track, Spotlight)

Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions

Khai Nguyen, Nhat Ho

Comments Accepted to NeurIPS 2024, 27 pages, 11 figures, 4 tables

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde

Comments NeurIPS 2024, Datasets and Benchmarks Track

Collaboration! Towards Robust Neural Methods for Routing Problems

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

Comments Accepted at NeurIPS 2024

Causal Context Adjustment Loss for Learned Image Compression

Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu

Comments Accepted to NeurIPS 2024