Li, Da

28 publications

ICLR 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning Ruchika Chavhan, Da Li, Timothy Hospedales

ICML 2025 Optimal Information Retention for Time-Series Explanations Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li, Zhaoyang Ma, Youfang Lin

TMLR 2025 TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues

WACV 2024 Feed-Forward Latent Domain Adaptation Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

CVPRW 2024 NTIRE 2024 Challenge on Short-Form UGC Video Quality Assessment: Methods and Results Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu

ICLR 2024 Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis, Łukasz Dudziak, Da Li, Timothy Hospedales

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

AutoML 2023 Better Practices for Domain Adaptation Linus Ericsson, Da Li, Timothy Hospedales

ICLR 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach Minyoung Kim, Da Li, Timothy Hospedales

NeurIPS 2023 FedL2P: Federated Learning to Personalize Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane

ICLRW 2023 Label Calibration for Semantic Segmentation Under Domain Shift Ondrej Bohdal, Da Li, Timothy Hospedales

CVPR 2023 Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales

ICCV 2023 Quality Diversity for Visual Pre-Training Ruchika Chavhan, Henry Gouk, Da Li, Timothy Hospedales

ICLR 2023 SketchKnitter: Vectorized Sketch Generation with Diffusion Models Qiang Wang, Haoge Deng, Yonggang Qi, Da Li, Yi-Zhe Song

ICCVW 2023 Traffic Mirror Detection and Annotation Methods from Street Images of Open Data for Preventing Accidents at Intersections by Alert Da Li, Hikaru Hagura, Taichi Miyabashira, Yukiko Kawai, Shintaro Ono

TMLR 2023 Worst-Case Feature Risk Minimization for Data-Efficient Learning Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy Hospedales, Yanwei Fu

CVPR 2023 Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style Fengyin Lin, Mingkang Li, Da Li, Timothy Hospedales, Yi-Zhe Song, Yonggang Qi

ICMLW 2022 Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

ICML 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation Minyoung Kim, Da Li, Shell X Hu, Timothy Hospedales

CVPR 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

ICCV 2021 A Simple Feature Augmentation for Domain Generalization Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales

AAAI 2021 Simple and Effective Stochastic Neural Networks Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang

ICML 2021 Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales

ECCV 2020 Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li, Timothy Hospedales

ECCVW 2020 Sequential Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

ECCV 2018 Deep Factorised Inverse-Sketching Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

AAAI 2018 Learning to Generalize: Meta-Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

ICCV 2017 Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales