NeurIPS

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen

Comments Accepted by NeurIPS 2024

Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars

Xuan Huang, Hanhui Li, Wanquan Liu, Xiaodan Liang, Yiqiang Yan, Yuhao Cheng, Chengqiang Gao

Comments Accepted to NeurIPS 2024

Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series

Thomas Schwarz, Cecilia Casolo, Niki Kilbertus

Comments appeared at the workshop on Causal Representation Learning at NeurIPS 2024 (oral)

Batched Energy-Entropy acquisition for Bayesian Optimization

Felix Teufel, Carsten Stahlhut, Jesper Ferkinghoff-Borg

Comments 14 pages (+31 appendix), 21 figures. Accepted at NeurIPS 2024

E-Motion: Future Motion Simulation via Event Sequence Diffusion

Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu

Comments NeurIPS 2024

Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

Mengyuan Chen, Junyu Gao, Changsheng Xu

Comments 28 pages, accepted by NeurIPS 2024

Bridge the Points: Graph-based Few-shot Segment Anything Semantically

Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei

Comments Accepted to NeurIPS 2024 as Spotlight

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

David Castillo-Bolado, Joseph Davidson, Finlay Gray, Marek Rosa

Comments Accepted as a poster at NeurIPS D&B Track 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-yuan Li, Songcan Chen

Comments 35 pages, Accepted by NeurIPS 2024

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

Comments NeurIPS 2024

EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding

Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu

Comments Accepted to NeurIPS'24

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy

Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

Comments Accepted by NeurIPS 2024

LLM-Generated Black-box Explanations Can Be Adversarially Helpful

Rohan Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz, Zining Zhu

Comments NeurIPS Regulatable ML Workshop

Do Large Language Models have Shared Weaknesses in Medical Question Answering?

Andrew M. Bean, Karolina Korgul, Felix Krones, Robert McCraith, Adam Mahdi

Comments 8 pages, 10 figures. To appear in NeurIPS 2024 Advancements in Medical Foundation Models Workshop

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends

Xinrui Wang, Wenhai Wan, Chuanxin Geng, Shaoyuan LI, Songcan Chen

Comments 25 pages

Journal ref NeurIPS 2023

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding

Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu

Comments Accepted by 38th NeurIPS Datasets & Benchmarks Track (NeurIPS 2024)

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

Xinran Li, Ling Pan, Jun Zhang

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

Simultaneous Weight and Architecture Optimization for Neural Networks

Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava

Comments Accepted to NeurIPS 2024 FITML (Fine-Tuning in Modern Machine Learning) Workshop

Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics

Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma

Comments NeurIPS 2024, the project page: https://xjay18.github.io/projects/neuma.html

How Diffusion Models Learn to Factorize and Compose

Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete

Comments 11 pages, 6 figures, plus appendix, some content overlap with arXiv:2402.03305

Journal ref Advances in Neural Information Processing Systems 2024

GSR-BENCH: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs

Navid Rajabi, Jana Kosecka

Comments Accepted to NeurIPS 2024 Workshop on Compositional Learning

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users

Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang

Comments Accepted by NeurIPS 2024

SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

Comments accepted at NeurIPS 2024

SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu

Comments Accepted to NeurIPS 2024. Project page: https://bagh2178.github.io/SG-Nav/

Deconstructing equivariant representations in molecular systems

Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret

Comments Accepted in the Findings track at the AI4Mat workshop, NeurIPS 2024 Vancouver, BC

Gaussian Process Thompson Sampling via Rootfinding

Taiwo A. Adebiyi, Bach Do, Ruda Zhang

Comments Paper accepted at the NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty for an oral presentation

AHA: Human-Assisted Out-of-Distribution Generalization and Detection

Haoyue Bai, Jifan Zhang, Robert Nowak

Comments NeurIPS 2024

Generalizable and Animatable Gaussian Head Avatar

Xuangeng Chu, Tatsuya Harada

Comments NeurIPS 2024, code is available at https://github.com/xg-chu/GAGAvatar, more demos are available at https://xg-chu.site/project_gagavatar

NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models

William Tan, Kevin Zhu

Comments Accepted to SoLaR @ NeurIPS 2024

Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses

Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain, Aneesa Maity, Jonathan Lu, Kevin Zhu

Comments Accepted to NeurIPS 2024, SoLaR workshop