NeurIPS 2024 Conference Submissions

Solving Sparse \& High-Dimensional-Output Regression via Compression
Renyuan Li, Zhehui Chen, Guanyi Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Monoculture in Matching Markets
Kenny Peng, Nikhil Garg
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data
xiaohong chen, Canran Xiao, Yongmei liu
- Published: 25 Sept 2024, Last Modified: 16 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia, David Broman, Nick Haber, Noah Goodman
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 oral
- Readers: Everyone
Disentangling Linear Quadratic Control with Untrusted ML Predictions
Tongxin Li, Hao Liu, Yisong Yue
- Published: 25 Sept 2024, Last Modified: 16 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu
- Published: 25 Sept 2024, Last Modified: 15 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
TextGraphBART: Unifying Graph and Text with Structure Token
Ching-Wen Cheng, PING-CHENG YEH
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
State-free Reinforcement Learning
Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen, Zhendong Wang, Mingyuan Zhou
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li, Alexander Joseph Thomson, houssam nassif, Matthew M. Engelhard, David Page
- Published: 25 Sept 2024, Last Modified: 14 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Aniket Rajiv Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael Curtis Mozer, Sanjeev Arora
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang
- Published: 25 Sept 2024, Last Modified: 24 Dec 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar, Boaz Nadler
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Gated Inference Network: Inference and Learning State-Space Models
Hamidreza Hashempoor, Wan Choi
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Loki: Low-rank Keys for Efficient Sparse Attention
Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Derivative-enhanced Deep Operator Network
Yuan Qiu, Nolan Bridges, Peng Chen
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang
- Published: 25 Sept 2024, Last Modified: 21 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
Jaeyoo Park, Jin Young Choi, Jeonghyung Park, Bohyung Han
- Published: 25 Sept 2024, Last Modified: 07 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
UniIF: Unified Molecule Inverse Folding
Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Towards a Scalable Reference-Free Evaluation of Generative Models
Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone