Mohammad Havaei

Cybernet Systems Corporation (Canada) — Canada

Computer Science · Physical Sciences

19h-index4.8kcitations44works1.02yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(19), Multimodal Machine Learning Applications(9), Generative Adversarial Networks and Image Synthesis(7), AI in cancer detection(7), Brain Tumor Detection and Classification(7)

Publications44 total

Source-free domain adaptation requires penalized diversity
Machine Learning·2025· 1 cited
Source-free Domain Adaptation Requires Penalized Diversity
arXiv (Cornell University)·2023· 1 citedOpen Access
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning
arXiv (Cornell University)·2022Open Access
FL Games: A Federated Learning Framework for Distribution Shifts
arXiv (Cornell University)·2022· 2 citedOpen Access
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 18 cited
FHIST: A Benchmark for Few-shot Classification of Histological Images
arXiv (Cornell University)·2022· 11 citedOpen Access
FL Games: A federated learning framework for distribution shifts
arXiv (Cornell University)·2022Open Access
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
arXiv (Cornell University)·2022· 1 citedOpen Access
Stain transfer using Generative Adversarial Networks and disentangled features
Computers in Biology and Medicine·2022· 21 cited
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
Lecture notes in computer science·2022· 21 cited
FoCL: Feature-oriented continual learning for generative models
Pattern Recognition·2021· 15 cited
Conditional generation of medical images via disentangled adversarial inference
Medical Image Analysis·2021· 30 citedOpen Access
Hypothesis Disparity Regularized Mutual Information Maximization
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 19 citedOpen Access
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay
IEEE Transactions on Neural Networks and Learning Systems·2021· 25 cited
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Lecture notes in computer science·2021· 4 cited
Hypothesis Disparity Regularized Mutual Information Maximization
arXiv (Cornell University)·2020· 2 citedOpen Access
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
2020· 13 cited
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
arXiv (Cornell University)·2020· 52 citedOpen Access
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
arXiv (Cornell University)·2020· 6 citedOpen Access
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
arXiv (Cornell University)·2020· 29 citedOpen Access
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Frequent Co-authors

Qicheng Lao(12), Xiang Jiang(10), Yoshua Bengio(9), Francis Dutil(8), Stan Matwin(8), Nicolas Chapados(6), Thomas Fevens(6), Hugo Larochelle(5), Samira Ebrahimi Kahou(5), Pierre‐Marc Jodoin(4), Lisa Di Jorio(4), Laya Rafiee Sevyeri(4), Sharut Gupta(4), Ivaxi Sheth(4), Chris Pal(3), Nicolas Guizard(3), Gabriel Chartrand(3), Andrew Jesson(3), Saeid Asgari Taghanaki(3), Aaron Courville(2)