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Ekaterina Iakovleva

3 papers · 2020–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint ❓ The Questioner

Venues

CVPR (1) ICML (1) WACV (1)

Top co-authors

Enzo Tartaglione (2) Vito Paolo Pastore (2) Jakob Verbeek (1) Ani Gjergji (1) Abdel Djalil Sad Saoud (1) Nathan Roos (1) Ivan Luiz De Moura Matos (1) Karteek Alahari (1)

Research topics

Deep Learning (3) Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Models (2) Bayesian & Probabilistic (1) Core AI (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Learning Types (1) Optimization & Theory (1)

Keywords

few-shot learning (1) variational inference (1) network pruning (1) amortized inference (1) generative model (1) diffusion model (1) empirical baye (1) variational autoencoder (1) bias mitigation (1) bias amplification (1) subnetwork extraction (1) algorithmic bia (1) sampling algorithm (1) bayesian meta-learning (1) debiased model (1)

Papers

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models CVPR 2026 How I Met Your Bias: Investigating Bias Amplification in Diffusion Models WACV 2026 Meta-Learning with Shared Amortized Variational Inference ICML 2020