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Mete Ozay

30 papers · 2015–2026 · 10 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (63) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ† Keyword Champion (6) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (132)

Venues

EMNLP (7) Interspeech (5) CVPR (4) ICCV (4) WACV (3) ACL (2) ICML (2) AAAI (1) ICLR (1) NeurIPS (1)

Top co-authors

Umberto Michieli (10) Savas Ozkan (7) Ondrej Bohdal (5) Taha Ceritli (4) Cho Jung Min (4) Andrea Maracani (3) Junyi Zhu (3) Jijoong Moon (3) Jeongwon Min (3) Sinan Mutlu (3)

Research topics

Machine Learning (26) Deep Learning (19) Application Areas (15) Artificial Intelligence (10) Learning Types Β· Deep Learning (10) Learning Types Β· Machine Learning (9) Optimization & Theory Β· Deep Learning (9) Core AI (8) Core Methods (6) Optimization & Theory Β· Machine Learning (6) Architectures (5) Computer Vision (4) Speech & Audio (4) Learning Paradigms (4) Recognition (4)

Keywords

large language model (7) model merging (6) multi-task learning (5) parameter-efficient fine-tuning (5) low-rank adaptation (5) continual learning (4) model compression (4) low-rank adapter (4) on-device deployment (3) on-device inference (3) automatic speech recognition (3) knowledge distillation (3) federated learning (2) transfer learning (2) model personalization (2) compositional multi-tasking (2) representation learning (2) named entity recognition (2) speaker recognition (2) image restoration (1)

Papers

Decoding Text Spans for Efficient and Accurate Named-Entity Recognition ACL 2026 Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026 K-Merge: Online Continual Merging of Adapters for On-device Large Language Models ACL 2026 Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs WACV 2026 Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation CVPR 2025 DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching CVPR 2025 Efficient Compositional Multi-tasking for On-device Large Language Models EMNLP 2025 HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025 LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation ICCV 2025 Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER EMNLP 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024 HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024 LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024 Model Merging and Safety Alignment: One Bad Model Spoils the Bunch EMNLP 2024 A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization Interspeech 2023 Conceptual and Hierarchical Latent Space Decomposition for Face Editing ICCV 2023 LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal WACV 2023 On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer Interspeech 2023 Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics Interspeech 2023 Bring Evanescent Representations to Life in Lifelong Class Incremental Learning CVPR 2022 Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning ICML 2022 Feature Kernel Distillation ICLR 2022 FedNST: Federated Noisy Student Training for Automatic Speech Recognition Interspeech 2022 pMCT: Patched Multi-Condition Training for Robust Speech Recognition Interspeech 2022 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search ICML 2018 Feature Quantization for Defending Against Distortion of Images CVPR 2018 Truncating Wide Networks Using Binary Tree Architectures ICCV 2017 Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes ICCV 2015