News

26 Papers Accepted at NeurIPS 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:
  • Prof Ong Yew Soon, Chief Artificial Intelligence (AI) Scientist and Advisor
  • Prof Ivor Tsang, Director and Distinguished Principal Scientist
  • Dr Joey Zhou, Deputy Director and Principal Scientist
  • Dr Li Xiaoli, Senior Principal Scientist
  • Dr Lim Joo Hwee, Senior Principal Scientist
  • Dr Cheston Tan, Senior Principal Scientist
  • Dr Basura Fernando, Principal Scientist
  • Dr Atsushi Nitanda, Principal Scientist
  • Dr Zhang Mengmi, Principal Scientist
  • Dr Chen Zhenghua, Senior Scientist
  • Dr Guo Qing, Senior Scientist
  • Dr He Tiantian, Senior Scientist
  • Dr Du Jiawei, Senior Scientist
  • Dr Zhu Hongyuan, Senior Scientist
  • Dr Paritosh Parmar, Senior Scientist
  • Dr Li Chen, Senior Scientist
  • Dr He Yang, Scientist
  • Dr Li Jing, Scientist
  • Dr Zhang Xin, Scientist
  • Dr Zhang Jie, Scientist
  • Mr Eric Peh, Engineer
List of accepted papers:

  1. Improved Particle Approximation Error for Mean Field Neural Networks
    Atsushi Nitanda
  2. 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
  3. Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
    Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong
  4. Road Network Representation Learning with the Third Law of Geography
    Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
  5. 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
  6. 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
  7. Sharpness-Aware Minimization Activated Interactive Teaching Understanding and Optimization
    Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang
  8. 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
  9. Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment (Spotlight Paper)
    Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou
  10. 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
  11. Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
    Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
  12. 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
  13. Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
    Lingao Xiao, Yang He
  14. ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
    Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang
  15. Generative Semi-supervised Graph Anomaly Detection
    Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
  16. Reinforced Cross-Domain Knowledge Distillation on Time Series Data
    Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
  17. ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
    Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo
  18. Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
    Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
  19. 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
  20. 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
  21. 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
  22. Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
    Shuangpeng Han, Ziyu Wang, Mengmi Zhang
  23. Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
    Naitik Khandelwal, Xiao Liu, Mengmi Zhang
  24. 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
  25. 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
  26. MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
    Yating Xu, Chen Li, Gim Hee Lee

More on NeurIPS 2024.