NeurIPS 2024 Conference Submissions

SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang, Tien Anh Mai, Pradeep Varakantham
- Published: 25 Sept 2024, Last Modified: 28 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Gradient Guidance for Diffusion Models: An Optimization Perspective
Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz, Michele Santacatterina, Ramin Zabih
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
Heyang Zhao, Jiafan He, Quanquan Gu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
Yiwei Zhang, Jin Gao, Fudong Ge, Guan Luo, Bing Li, Zhaoxiang Zhang, Haibin Ling, Weiming Hu
- Published: 25 Sept 2024, Last Modified: 12 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Outlier-Robust Phase Retrieval in Nearly-Linear Time
Haichen Dong, Alessio Mazzetto, Yu Cheng, Rong Ge
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
Xin Yuan, Michael Maire
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung, Taeuk Jang, Xiaoqian Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam Shabti Charles, Christopher John Rozell
- Published: 25 Sept 2024, Last Modified: 14 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
Tongle Wu, Ying Sun
- Published: 25 Sept 2024, Last Modified: 14 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Universal Exact Compression of Differentially Private Mechanisms
Yanxiao Liu, Wei-Ning Chen, Ayfer Ozgur, Cheuk Ting Li
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Learning Representations for Hierarchies with Minimal Support
Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Sankar Dasgupta, Hung Le, Andrew McCallum
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang
- Published: 25 Sept 2024, Last Modified: 13 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Fair Allocation in Dynamic Mechanism Design
Alireza Fallah, Michael Jordan, Annie S Ulichney
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
TAS-GNN: Topology-Aware Spiking Graph Neural Networks for Graph Classification
SunJong Park, Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Jongkil Park, Seongsik Park, Jinho Lee
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Multi-Instance Partial-Label Learning with Margin Adjustment
Wei Tang, Yin-Fang Yang, Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
- Published: 25 Sept 2024, Last Modified: 14 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Deep Support Vectors
Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
Sungyoon Lee, Sokbae Lee
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone