Omer Veysel Cagatan

4 papers · 2023–2025 · 4 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Legion

Venues

ACML (1) CoNLL (1) ICCV (1) ICLR (1)

Top co-authors

Marek Suppa (1) Maria Tikhonova (1) Alena Fenogenova (1) Gayatri K (1) Björn Plüster (1) Ashwin Mathur (1) Jordan Clive (1) Dipam Vasani (1) Shitao Xiao (1) Alessia Borghini (1)

Research topics

Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Natural Language Processing (1) Reinforcement Learning (1) Application Areas (1) Applications (1) Core AI (1) Methods (1) Resources & Methods (1)

Keywords

self-supervised learning (2) contrastive learning (1) reinforcement learning (1) zero-shot learning (1) adversarial robustness (1) transfer learning (1) computer vision (1) model evaluation (1) visual representation (1) instruction following (1) discriminative learning (1) state representation (1) data efficiency (1) text embedding (1) barlow twin (1) dimensional collapse (1) embedding model (1) multilingual benchmark (1) representation learning (1) data-efficient reinforcement learning (1)

Papers

Adversarial Robustness of Discriminative Self-Supervised Learning in Vision ICCV 2025 MMTEB: Massive Multilingual Text Embedding Benchmark ICLR 2025 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding CoNLL 2023