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Oya Celiktutan

10 papers · 2021–2026 · 7 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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+3 more ↓ 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (24) 🌍 Conference Polyglot Β· Silver
πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (50) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (2) CVPR (2) ICML (2) ICCV (1) ICLR (1) NeurIPS (1) WACV (1)

Top co-authors

Edoardo Cetin (6) Dimitrios Kollias (2) Guanyu Hu (2) Tangzheng Lian (2) Stephen Roberts (1) Philip J Ball (1) Xinyu Yang (1) Jian Jiang (1) Guanhe Huang (1) Yijing Ren (1)

Research topics

Machine Learning (8) Artificial Intelligence (5) Learning Types (5) Reinforcement Learning (4) Core AI (4) Methods (4) Application Areas (3) Learning Paradigms Β· Artificial Intelligence (2) Optimization & Theory (2) Computer Vision (1) Deep Learning (1) Analysis (1) Applications (1) Core Methods (1) Learning Paradigms Β· Machine Learning (1)

Keywords

deep reinforcement learning (3) catastrophic forgetting (2) continual learning (2) temporal difference learning (2) reinforcement learning (2) mutual information (2) off-policy reinforcement learning (2) decision making (1) transfer learning (1) adversarial learning (1) domain generalization (1) domain adaptation (1) neural network optimization (1) policy gradient (1) policy optimization (1) flow matching (1) policy learning (1) incremental learning (1) motion synthesis (1) imitation learning (1)

Papers

A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks CVPR 2026 Fair Domain Generalization: An Information-Theoretic View AAAI 2026 Unified Number-Free Text-to-Motion Generation Via Flow Matching CVPR 2026 A Simple Recipe to Meta-Learn Forward and Backward Transfer ICCV 2023 Learning Pessimism for Reinforcement Learning AAAI 2023 Neural Weight Search for Scalable Task Incremental Learning WACV 2023 Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022 Domain-Robust Visual Imitation Learning with Mutual Information Constraints ICLR 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021