NeurIPS 2024 Conference Submissions

Towards Unsupervised Model Selection for Domain Adaptive Object Detection
Hengfu Yu, Jinhong Deng, Wen Li, Lixin Duan
- Published: 25 Sept 2024, Last Modified: 13 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Bandits with Preference Feedback: A Stackelberg Game Perspective
Barna Pásztor, Parnian Kassraie, Andreas Krause
- Published: 25 Sept 2024, Last Modified: 13 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
Daniel Severo, Ashish J Khisti, Alireza Makhzani
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun, Li Shen, Dacheng Tao
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu, Yatao Bian, Quanming Yao
- 13 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Binary Search with Distributional Predictions
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Aidin Niaparast, Sergei Vassilvitskii
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Variational Delayed Policy Optimization
Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
On Differentially Private Subspace Estimation in a Distribution-Free Setting
Eliad Tsfadia
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Periodic agent-state based Q-learning for POMDPs
Amit Sinha, Matthieu Geist, Aditya Mahajan
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Pseudo-Private Data Guided Model Inversion Attacks
Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
Audrey Huang, Nan Jiang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Foundation Inference Models for Markov Jump Processes
David Berghaus, Kostadin Cvejoski, Patrick Seifner, Cesar Ojeda, Ramses J Sanchez
- Published: 25 Sept 2024, Last Modified: 06 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Learning to Control the Smoothness of GCN Features
Shih-Hsin Wang, Justin Baker, Cory D Hauck, Bao Wang
- 13 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Fair Online Bilateral Trade
François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Distributional Reinforcement Learning with Regularized Wasserstein Loss
Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
Ronglong Fang, Yuesheng Xu
- Published: 25 Sept 2024, Last Modified: 02 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor, Alasdair Newson, Matthieu Cord
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
Eli Chien, Haoyu Peter Wang, Ziang Chen, Pan Li
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Structured Learning of Compositional Sequential Interventions
Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
CriticEval: Evaluating Large-scale Language Model as Critic
Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xian-Ling Mao
- Published: 25 Sept 2024, Last Modified: 28 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone