Fereshteh Shakeri

6 papers · 2024–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

CVPR (3) MICCAI (2) WACV (1)

Top co-authors

Ismail Ben Ayed (6) Houda Bahig (3) Jose Dolz (3) Yunshi Huang (3) Julio Silva-Rodríguez (2) Jean-Christophe Pesquet (2) Sahar Dastani (1) David Osowiechi (1) Gustavo A. Vargas Hakim (1) Mehrdad Noori (1)

Research topics

Machine Learning (4) Optimization & Theory (3) Learning Types · Machine Learning (2) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Application Areas (1) Domain-Specific (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

few-shot learning (3) vision-language model (2) clip model (2) transductive learning (1) hyperparameter learning (1) expectation maximization (1) test-time adaptation (1) prompt learning (1) transductive inference (1) dirichlet distribution (1) low-rank adaptation (1) feature adaptation (1) linear probe (1) majorize-minimize optimization (1) zero-shot learning (1) unrolling optimization (1) domain adaptation (1) convex optimization (1)

Papers

Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation WACV 2026 Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation MICCAI 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025 Few-shot Adaptation of Medical Vision-Language Models MICCAI 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024