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Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large
Language Models
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2024
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Yongshuo Zong
Ondrej Bohdal
Tingyang Yu
Yongxin Yang
Timothy M. Hospedales
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Learning to Name Classes for Vision and Language Models
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2023
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Sarah Parisot
Yongxin Yang
Steven McDonagh
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Learning to Name Classes for Vision and Language Models
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2023
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Sarah Parisot
Yongxin Yang
Steven McDonagh
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ChiroDiff: Modelling chirographic data with Diffusion Models
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2023
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Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Long-tail Recognition via Compositional Knowledge Transfer
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2022
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Sarah Parisot
Pedro M. Esperança
Steven McDonagh
TamĂĄs J. MadarĂĄsz
Yongxin Yang
Zhenguo Li
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MEDFAIR: Benchmarking Fairness for Medical Imaging
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2022
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Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
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ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
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2022
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Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
SungâHo Bae
Zhenguo Li
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Partial Index Tracking: A Meta-Learning Approach
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2022
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Yongxin Yang
Timothy M. Hospedales
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Fine-Grained VR Sketching: Dataset and Insights
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2021
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Ling Luo
Yulia Gryaditskaya
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
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2021
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Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
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Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error.
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2021
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Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
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StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
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2021
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Aneeshan Sain
Ayan Kumar Bhunia
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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Context-Aware Layout to Image Generation with Enhanced Object Appearance
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2021
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Sen He
Wentong Liao
Michael Ying Yang
Yongxin Yang
Yi-Zhe Song
Bodo Rosenhahn
Tao Xiang
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More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
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2021
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Ayan Kumar Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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Cloud2Curve: Generation and Vectorization of Parametric Sketches
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2021
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Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
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2021
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Ayan Kumar Bhunia
Pinaki Nath Chowdhury
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Domain Generalization with MixStyle
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2021
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Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
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Learning Generalisable Omni-Scale Representations for Person Re-Identification
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2021
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Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
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More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
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2021
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Ayan Kumar Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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Domain Generalization with MixStyle
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2021
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Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
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Cloud2Curve: Generation and Vectorization of Parametric Sketches
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2021
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Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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MixStyle Neural Networks for Domain Generalization and Adaptation
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2021
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Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
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Domain Adaptive Ensemble Learning
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2021
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Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
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Domain Attention Consistency for Multi-Source Domain Adaptation
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2021
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Zhongying Deng
Kaiyang Zhou
Yongxin Yang
Tao Xiang
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Long-tail Recognition via Compositional Knowledge Transfer
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2021
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Sarah Parisot
Pedro M. Esperança
Steven McDonagh
TamĂĄs J. MadarĂĄsz
Yongxin Yang
Zhenguo Li
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Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
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2021
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Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
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+
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EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
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2021
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Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
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PDF
Chat
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Towards 3D VR-Sketch to 3D Shape Retrieval
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2020
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Ling Luo
Yulia Gryaditskaya
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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PDF
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Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
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2020
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Ayan Kumar Bhunia
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Chat
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Diversity and Sparsity: A New Perspective on Index Tracking
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2020
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Yu Zheng
Timothy M. Hospedales
Yongxin Yang
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PDF
Chat
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Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
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2020
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Yu Zheng
Bowei Chen
Timothy M. Hospedales
Yongxin Yang
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PDF
Chat
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Deep Domain-Adversarial Image Generation for Domain Generalisation
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2020
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Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
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2020
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Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
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2020
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Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
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Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval
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2020
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Ayan Kumar Bhunia
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Deep Domain-Adversarial Image Generation for Domain Generalisation
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2020
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Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
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Sequential Learning for Domain Generalization
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2020
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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BĂ©zierSketch: A generative model for scalable vector sketches
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2020
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Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Learning to Generate Novel Domains for Domain Generalization
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2020
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Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
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Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval
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2020
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Aneeshan Sain
Ayan Kumar Bhunia
Yongxin Yang
Tao Xiang
Yi-Zhe Song
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Learning to Generate Novel Domains for Domain Generalization
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2020
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Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
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Chat
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BĂ©zierSketch: A Generative Model for Scalable Vector Sketches
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2020
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Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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PDF
Chat
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Sequential Learning for Domain Generalization
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2020
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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PDF
Chat
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Episodic Training for Domain Generalization
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2019
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Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
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Chat
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Goal-Driven Sequential Data Abstraction
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2019
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Umar Riaz Muhammad
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
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Disjoint Label Space Transfer Learning with Common Factorised Space
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2019
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Xiaobin Chang
Yongxin Yang
Tao Xiang
Timothy M. Hospedales
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Gated deep neural networks for implied volatility surfaces
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2019
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Yu Zheng
Yongxin Yang
Bowei Chen
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Episodic Training for Domain Generalization
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2019
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Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
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Feature-Critic Networks for Heterogeneous Domain Generalization
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2019
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Yiying Li
Yongxin Yang
Wei Zhou
Timothy M. Hospedales
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Learning Generalisable Omni-Scale Representations for Person Re-Identification
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2019
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Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
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Deep clustering with concrete k-means
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2019
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Boyan Gao
Yongxin Yang
Henry Gouk
Timothy M. Hospedales
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Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
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2019
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Yu Zheng
Bowei Chen
Timothy M. Hospedales
Yongxin Yang
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Deep Comparison: Relation Columns for Few-Shot Learning.
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2018
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Xueting Zhang
Flood Sung
Yuting Qiang
Yongxin Yang
Timothy M. Hospedales
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Diversity and Sparsity: A New Perspective on Index Tracking.
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2018
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Yu Zheng
Timothy M. Hospedales
Yongxin Yang
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PDF
Chat
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Learning to Compare: Relation Network for Few-Shot Learning
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2018
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Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
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PDF
Chat
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Learning Deep Sketch Abstraction
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2018
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Umar Riaz Muhammad
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
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PDF
Chat
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Learning to Generalize: Meta-Learning for Domain Generalization
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2018
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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Deep Neural Decision Trees
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2018
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Yongxin Yang
Irene Garcia Morillo
Timothy M. Hospedales
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+
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Disjoint Label Space Transfer Learning with Common Factorised Space
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2018
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Xiaobin Chang
Yongxin Yang
Tao Xiang
Timothy M. Hospedales
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RelationNet2: Deep Comparison Columns for Few-Shot Learning
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2018
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Xueting Zhang
Yuting Qiang
Flood Sung
Yongxin Yang
Timothy M. Hospedales
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Diversity and Sparsity: A New Perspective on Index Tracking
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2018
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Yu Zheng
Timothy M. Hospedales
Yongxin Yang
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PDF
Chat
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Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
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2017
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Guosheng Hu
Hua Yang
Yang Yuan
Zhihong Zhang
Zheng Lu
Sankha Mukherjee
Timothy M. Hospedales
Neil M. Robertson
Yongxin Yang
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Deeper, Broader and Artier Domain Generalization
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2017
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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PDF
Chat
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Frankenstein: Learning Deep Face Representations Using Small Data
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2017
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Guosheng Hu
Xiaojiang Peng
Yongxin Yang
Timothy M. Hospedales
Jakob Verbeek
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Deep Multi-task Representation Learning: A Tensor Factorisation Approach
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2017
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Yongxin Yang
Timothy M. Hospedales
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PDF
Chat
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Gated Neural Networks for Option Pricing: Rationality by Design
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2017
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Yongxin Yang
Yu Zheng
Timothy M. Hospedales
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PDF
Chat
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Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives
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2017
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Yongxin Yang
Timothy M. Hospedales
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Learning to Learn: Meta-Critic Networks for Sample Efficient Learning
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2017
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Flood Sung
Zhang Li
Tao Xiang
Timothy M. Hospedales
Yongxin Yang
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Learning to Generalize: Meta-Learning for Domain Generalization
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2017
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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Deeper, Broader and Artier Domain Generalization
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2017
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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+
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Learning to Compare: Relation Network for Few-Shot Learning
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2017
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Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
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PDF
Chat
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Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes
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2016
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Zhiyuan Shi
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
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Trace Norm Regularised Deep Multi-Task Learning
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2016
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Yongxin Yang
Timothy M. Hospedales
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Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives
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2016
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Yongxin Yang
Timothy Hospedales
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Deep Multi-task Representation Learning: A Tensor Factorisation Approach
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2016
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Yongxin Yang
Timothy M. Hospedales
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Trace Norm Regularised Deep Multi-Task Learning
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2016
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Yongxin Yang
Timothy M. Hospedales
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+
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Gated Neural Networks for Option Pricing: Rationality by Design
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2016
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Yongxin Yang
Yu Zheng
Timothy M. Hospedales
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Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian
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2015
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Yongxin Yang
Timothy M. Hospedales
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Transductive Multi-label Zero-shot Learning
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2015
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Yanwei Fu
Yongxin Yang
Tim Hospedales
Tao Xiang
Shaogang Gong
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Transductive Multi-class and Multi-label Zero-shot Learning
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2015
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Yanwei Fu
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Shaogang Gong
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Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian
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2015
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Yongxin Yang
Timothy M. Hospedales
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A Unified Perspective on Multi-Domain and Multi-Task Learning
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2014
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Yongxin Yang
Timothy M. Hospedales
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+
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Transductive Multi-label Zero-shot Learning
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2014
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Yanwei Fu
Yongxin Yang
Tim Hospedales
Tao Xiang
Shaogang Gong
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A Unified Perspective on Multi-Domain and Multi-Task Learning
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2014
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Yongxin Yang
Timothy M. Hospedales
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