Shell Xu Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Knowledge Transfer

Empirical Bayes

Image Retrieval

Top Venues

Publications

Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI (2024)
Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens
Compressing Features for Learning With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Latent Domain Adaptation. WACV (2024)
Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales
Learning where and when to reason in neuro-symbolic inference. ICLR (2023)
Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR (2023)
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR (2023)
Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR (2023)
Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales
Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy (2023)
Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CVPR (2022)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML (2022)
Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens
Compressing Features for Learning with Noisy Labels. CoRR (2022)
Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CoRR (2022)
Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
AvaTr: One-Shot Speaker Extraction with Transformers. Interspeech (2021)
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR (2021)
Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry
Re-ranking for image retrieval and transductive few-shot classification. NeurIPS (2021)
Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens
Boosting Co-teaching with Compression Regularization for Label Noise. CoRR (2021)
Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens
Boosting Co-Teaching With Compression Regularization for Label Noise. CVPR Workshops (2021)
Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR (2020)
Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR (2020)
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019)
Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
Variational Information Distillation for Knowledge Transfer. CVPR (2019)
Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
Variational Information Distillation for Knowledge Transfer. CoRR (2019)
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
Exploring Weight Symmetry in Deep Neural Network. CoRR (2018)
Shell Xu Hu, Christopher K. I. Williams, Sinisa Todorovic
Tree-Cut for Probabilistic Image Segmentation. CoRR (2015)