Ondrej Bohdal

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All published works

Action	Title	Year	Authors
+ PDF Chat	LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation	2024	Donald Shenaj Ondrej Bohdal Mete Özay Pietro Zanuttigh Umberto Michieli
+ PDF Chat	Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models	2024	Raman Dutt Pedro P. Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales
+ PDF Chat	Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted	2024	Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li Timothy M. Hospedales
+ PDF Chat	MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection	2024	Raman Dutt Pedro P. Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales
+ PDF Chat	VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning	2024	Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales
+ PDF Chat	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models	2024	Yongshuo Zong Ondrej Bohdal Tingyang Yu Yongxin Yang Timothy M. Hospedales
+ PDF Chat	Feed-Forward Latent Domain Adaptation	2024	Ondrej Bohdal Da Li Shell Xu Hu Timothy M. Hospedales
+ PDF Chat	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn	2023	Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales
+	Fairness in AI and Its Long-Term Implications on Society	2023	Ondrej Bohdal Timothy M. Hospedales Philip H. S. Torr Fazl Barez
+	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn	2023	Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales
+	Impact of Noise on Calibration and Generalisation of Neural Networks	2023	Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues
+	Feed-Forward Source-Free Domain Adaptation via Class Prototypes	2023	Ondrej Bohdal Da Li Timothy M. Hospedales
+	Label Calibration for Semantic Segmentation Under Domain Shift	2023	Ondrej Bohdal Da Li Timothy M. Hospedales
+	FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis	2023	Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales
+	Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention	2022	Ondrej Bohdal Da Li Shell Xu Hu Timothy M. Hospedales
+	PASHA: Efficient HPO and NAS with Progressive Resource Allocation	2022	Ondrej Bohdal Lukas Balles Beyza Ermiş Cédric Archambeau Giovanni Zappella
+ PDF Chat	A Channel Coding Benchmark for Meta-Learning	2021	Rui Li Ondrej Bohdal Rajesh Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales
+	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization	2021	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales
+	Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error.	2021	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales
+	A Channel Coding Benchmark for Meta-Learning	2021	Rui Li Ondrej Bohdal Rajesh Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales
+	Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error	2021	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales
+	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization	2021	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales
+	Flexible Dataset Distillation: Learn Labels Instead of Images	2020	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales
+	Flexible Dataset Distillation: Learn Labels Instead of Images	2020	Ondrej Bohdal Yongxin Yang Timothy M. Hospedales

Common Coauthors

Coauthor	Papers Together
Timothy M. Hospedales	22
Da Li	7
Yongxin Yang	5
Yongshuo Zong	5
Ruchika Chavhan	3
Sotirios A. Tsaftaris	3
Raman Dutt	3
Li Guo	2
Nicholas D. Lane	2
Rajesh Mishra	2
Pedro P. Sanchez	2
Shell Xu Hu	2
Hyeji Kim	2
Yinbing Tian	2
Henry Gouk	2
Yongxin Yang	2
Da Li	1
Tingyang Yu	1
Rui Li	1
Giovanni Zappella	1
Cédric Archambeau	1
Miguel R. D. Rodrigues	1
Lukas Balles	1
Fazl Barez	1
Donald Shenaj	1
Mete Özay	1
Philip H. S. Torr	1
Beyza Ermiş	1
Martin Ferianc	1
Pietro Zanuttigh	1
Umberto Michieli	1
Da Li	1
Rui Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Meta-Learning in Neural Networks: A Survey	2021	Timothy M. Hospedales Antreas Antoniou Paul Micaelli Amos Storkey	5
+ PDF Chat	Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions	2020	Han-Jia Ye Hexiang Hu De‐Chuan Zhan Fei Sha	3
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	3
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	3
+	Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	2017	Zhenguo Li Fengwei Zhou Fei Chen Hang Li	3
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	3
+	Dataset Distillation	2018	Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros	2
+	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	2019	Eleni Triantafillou Tyler Zhu Vincent Dumoulin Pascal Lamblin Utku Evci Kelvin Xu Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol	2
+	Learning to Learn	1998	Jonathan Baxter	2
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	2
+	In Search of Lost Domain Generalization	2020	Ishaan Gulrajani David López-Paz	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning	2019	Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML	2019	Aniruddh Raghu Maithra Raghu Samy Bengio Oriol Vinyals	2
+ PDF Chat	A Broader Study of Cross-Domain Few-Shot Learning	2020	Yunhui Guo Noel Codella Leonid Karlinsky James Codella John R. Smith Kate Saenko Tajana Rosing Rogério Feris	2
+	Meta-learning with differentiable closed-form solvers	2018	Luca Bertinetto João F. Henriques Philip H. S. Torr Andrea Vedaldi	2
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Green AI	2019	Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni	2
+	Feature-Critic Networks for Heterogeneous Domain Generalization	2019	Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales	2
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	2
+	Practical Coreset Constructions for Machine Learning	2017	Olivier Bachem Mario Lučić Andreas Krause	1
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Privacy-Preserving Machine Learning: Threats and Solutions	2019	Mohammad Al-Rubaie J. Morris Chang	1
+	Meta-Learning for Semi-Supervised Few-Shot Classification	2018	Mengye Ren Eleni Triantafillou Sachin Ravi Jake Snell Kevin Swersky Joshua B. Tenenbaum Hugo Larochelle Richard S. Zemel	1
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	1
+	Deep Neural Decision Trees	2018	Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales	1
+	Human-level performance in 3D multiplayer games with population-based reinforcement learning	2019	Max Jaderberg Wojciech Marian Czarnecki Iain Dunning Luke Marris Guy Lever Antonio García Castañeda Charles Beattie Neil C. Rabinowitz Ari S. Morcos Avraham Ruderman	1
+ PDF Chat	Taskonomy: Disentangling Task Transfer Learning	2018	Amir Zamir Alexander F. Sax William Shen Leonidas Guibas Jitendra Malik Silvio Savarese	1
+	Stochastic Hyperparameter Optimization through Hypernetworks	2018	Jonathan Lorraine David Duvenaud	1
+	Gradient-Based Optimization of Hyperparameters	2000	Yoshua Bengio	1
+	A Unified Perspective on Multi-Domain and Multi-Task Learning	2014	Yongxin Yang Timothy M. Hospedales	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	1
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	1
+	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments	2017	Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel	1
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	EMNIST: an extension of MNIST to handwritten letters	2017	Gregory Cohen Saeed Afshar Jonathan Tapson André van Schaik	1
+ PDF Chat	Estimating mutual information	2004	Alexander Kraskov Harald Stögbauer Peter Grassberger	1
+	Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation	2012	Yuan Shi Fei Sha	1
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	1
+	A Closer Look at Few-shot Classification	2019	Wei-Yu Chen Yen‐Cheng Liu Zsolt Kira Yu-Chiang Frank Wang Jia‐Bin Huang	1
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton	1
+	Meta-Learning with Latent Embedding Optimization	2018	Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero Raia Hadsell	1
+	When Does Label Smoothing Help?	2019	Rafael Müller Simon Kornblith Geoffrey E. Hinton	1
+ PDF Chat	An Introduction to Deep Learning for the Physical Layer	2017	Timothy J. O’Shea Jakob Hoydis	1
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	1
+	Neural Architecture Search: A Survey	2019	Thomas Elsken Jan Hendrik Metzen Frank Hutter	1
+	The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks	2018	Nicholas Carlini Chang Liu Úlfar Erlingsson Jernej Kos Dawn Song	1