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Shell Xu Hu
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2020 – today
- 2024
- [j3]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): 2124-2138 (2024) - [c15]Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi:
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI 2024: 11024-11031 - [c14]Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi:
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP 2024: 6105-6113 - [c13]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. EMNLP (Findings) 2024: 9761-9771 - [c12]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML 2024 - [c11]Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Feed-Forward Latent Domain Adaptation. WACV 2024: 8475-8484 - [i19]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 abs/2405.14791 (2024) - [i18]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 abs/2407.00466 (2024) - [i17]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. CoRR abs/2408.13933 (2024) - 2023
- [j2]Yangtao Wang
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15790-15801 (2023) - [c10]Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales:
Learning where and when to reason in neuro-symbolic inference. ICLR 2023 - [c9]Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales:
Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy 2023: 411-412 - [i16]Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi:
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR abs/2304.01917 (2023) - [i15]Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi:
Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR abs/2307.09233 (2023) - [i14]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 abs/2310.02426 (2023) - 2022
- [c8]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: 9058-9067 - [c7]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: 14523-14533 - [c6]Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML 2022: 11148-11161 - [i13]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 abs/2202.11539 (2022) - [i12]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 abs/2204.07305 (2022) - [i11]Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR abs/2206.04920 (2022) - [i10]Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens:
Compressing Features for Learning with Noisy Labels. CoRR abs/2206.13140 (2022) - [i9]Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR abs/2207.07624 (2022) - [i8]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 abs/2209.00383 (2022) - [i7]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 abs/2212.04084 (2022) - 2021
- [c5]Yingyi Chen
Boosting Co-Teaching With Compression Regularization for Label Noise. CVPR Workshops 2021: 2688-2692 - [c4]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: 3510-3514 - [c3]Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry:
Re-ranking for image retrieval and transductive few-shot classification. NeurIPS 2021: 25932-25943 - [i6]Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens:
Boosting Co-teaching with Compression Regularization for Label Noise. CoRR abs/2104.13766 (2021) - [i5]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR abs/2105.00609 (2021) - 2020
- [c2]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 - [i4]Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR abs/2004.12696 (2020)
2010 – 2019
- 2019
- [j1]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019) - [c1]Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence
Variational Information Distillation for Knowledge Transfer. CVPR 2019: 9163-9171 - [i3]Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence
Variational Information Distillation for Knowledge Transfer. CoRR abs/1904.05835 (2019) - 2018
- [i2]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring Weight Symmetry in Deep Neural Network. CoRR abs/1812.11027 (2018) - 2015
- [i1]Shell Xu Hu, Christopher K. I. Williams, Sinisa Todorovic:
Tree-Cut for Probabilistic Image Segmentation. CoRR abs/1506.03852 (2015)
Coauthor Index
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last updated on 2024-12-26 01:53 CET by the dblp team
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