Mohammad Havaei
11 papers · 2019–2025 · 7 venues · across top CS/AI venues
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few-shot learning
(2)
generative model
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domain adaptation
(2)
unsupervised domain adaptation
(2)
transfer learning
(1)
class imbalance
(1)
metric learning
(1)
batch normalization
(1)
image generation
(1)
text-to-image synthesis
(1)
text-to-image generation
(1)
model safety
(1)
mutual information maximization
(1)
piecewise linear
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interpretability
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representation learning
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diffusion model
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convolutional neural network
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foundation model
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unsupervised learning
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Papers
Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
ICCV 2025
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
MIDL 2025
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
ICLR 2025
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
MIDL 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
ICML 2024
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
ECCV 2022
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
CVPR 2022
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
ICML 2020
Dual Adversarial Inference for Text-to-Image Synthesis
ICCV 2019
Learning to Learn with Conditional Class Dependencies
ICLR 2019