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List of accepted papers:
26 Papers Accepted at NeurIPS 2024
30 Oct 2024
Held from 10 – 15 December 2024, the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024) is a premier machine learning and computational neuroscience conference. The multi-track interdisciplinary annual meeting features invited talks, demonstrations, symposia, and oral and poster presentations.
Congratulations to the following researchers from A*STAR’s Centre for Frontier AI Research (CFAR) on having their papers accepted at NeurIPS 2024:
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- Improved Particle Approximation Error for Mean Field Neural Networks
Atsushi Nitanda - Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong - Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong - Road Network Representation Learning with the Third Law of Geography
Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong - Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu - Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong - Sharpness-Aware Minimization Activated Interactive Teaching Understanding and Optimization
Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang - The Best of Both Worlds: On the Dilemma of out.of-distribution Detection
Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang - Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment (Spotlight Paper)
Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou - DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang - Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan - CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando - Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao, Yang He - ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang - Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang - Reinforced Cross-Domain Knowledge Distillation on Time Series Data
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen - ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo - Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo - Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
Lubo Wang, Kairui Yang, Qing Guo, Wuyuan Xie, Miaohui Wang, Ping Li, Lingyu Liang, Yi Wang, Ruonan Liu, Di Lin - Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
Yanzhi Li, Keqiu Li, LI GUOHUI, zumin Wang, Chanqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin - Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, and Yanning Zhang - Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
Shuangpeng Han, Ziyu Wang, Mengmi Zhang - Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Naitik Khandelwal, Xiao Liu, Mengmi Zhang - Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei - MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
X. Yi, Z. Wu, Q. Shen, Q. Xu, P. Zhou, J.H. Lim, S. Yan, X. Wang, H. Zhang - MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
Yating Xu, Chen Li, Gim Hee Lee
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