PPaperPicks

Mete Ozay

18 papers at tracked venues · 6 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Umberto Michieli
×11
Savas Özkan
×6
Jijoong Moon
×6
Ondrej Bohdal
×5
Taha Ceritli
×4
Andrea Maracani
×3
Junyi Zhu
×3
Sinan Mutlu
×3
Eunchung Noh
×3
Jeongwon Min
×3
Cho Jung Min
×3
Pietro Zanuttigh
×3

Papers

  1. Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
    ACL 2026 ·
    Andrea Maracani
    ,
    Savas Özkan
    ,
    Junyi Zhu
    ,
    Sinan Mutlu
    , Mete Ozay
  2. Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
    WACV 2026 ·
    Junyi Zhu
    ,
    Ruicong Yao
    ,
    Taha Ceritli
    ,
    Savas Özkan
    ,
    Matthew B. Blaschko
    ,
    Eunchung Noh
    ,
    Jeongwon Min
    ,
    Cho Jung Min
    , Mete Ozay
  3. K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
    ACL 2026 ·
    Donald Shenaj
    ,
    Ondrej Bohdal
    ,
    Taha Ceritli
    , Mete Ozay,
    Pietro Zanuttigh
    ,
    Umberto Michieli
  4. Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs
    WACV 2026 ·
    Sinan Mutlu
    ,
    Georgios-Fotios Angelis
    ,
    Savas Özkan
    ,
    Paul Wisbey
    ,
    Anastasios Drosou
    , Mete Ozay
  5. Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
    CVPR 2025 ·
    Andrea Maracani
    ,
    Savas Özkan
    ,
    Sijun Cho
    ,
    Hyowon Kim
    ,
    Eunchung Noh
    ,
    Jeongwon Min
    ,
    Cho Jung Min
    ,
    Dookun Park
    , Mete Ozay
  6. DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
    CVPR 2025 ·
    Emanuele Aiello
    ,
    Umberto Michieli
    ,
    Diego Valsesia
    , Mete Ozay,
    Enrico Magli
  7. Efficient Compositional Multi-tasking for On-device Large Language Models
    EMNLP 2025 ·
    Ondrej Bohdal
    , Mete Ozay,
    Jijoong Moon
    ,
    Kyeng-Hun Lee
    ,
    Hyeonmok Ko
    ,
    Umberto Michieli
  8. HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
    EMNLP 2025 ·
    Taha Ceritli
    ,
    Ondrej Bohdal
    , Mete Ozay,
    Jijoong Moon
    ,
    Kyeng-Hun Lee
    ,
    Hyeonmok Ko
    ,
    Umberto Michieli
  9. LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
    ICCV 2025 ·
    Donald Shenaj
    ,
    Ondrej Bohdal
    , Mete Ozay,
    Pietro Zanuttigh
    ,
    Umberto Michieli
  10. Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
    EMNLP 2025 ·
    Junyi Zhu
    ,
    Savas Özkan
    ,
    Andrea Maracani
    ,
    Sinan Mutlu
    ,
    Cho Jung Min
    , Mete Ozay
  11. On-device System of Compositional Multi-tasking in Large Language Models
    EMNLP 2025 ·
    Ondrej Bohdal
    ,
    Konstantinos Theodosiadis
    ,
    Asterios Mpatziakas
    ,
    Dimitrios Filippidis
    ,
    Iro Spyrou
    ,
    Christos Zonios
    ,
    Anastasios Drosou
    ,
    Dimosthenis Ioannidis
    ,
    Kyeng-Hun Lee
    ,
    Jijoong Moon
    ,
    Hyeonmok Ko
    , Mete Ozay,
    Umberto Michieli
  12. A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune
    EMNLP 2024 ·
    Taha Ceritli
    ,
    Savas Özkan
    ,
    Jeongwon Min
    ,
    Eunchung Noh
    ,
    Cho Min
    , Mete Ozay
  13. Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
    IROS 2024 ·
    Francesco Barbato
    ,
    Umberto Michieli
    ,
    Jijoong Moon
    ,
    Pietro Zanuttigh
    , Mete Ozay
  14. Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
    IROS 2024 ·
    Elena Camuffo
    ,
    Umberto Michieli
    ,
    Simone Milani
    ,
    Jijoong Moon
    , Mete Ozay
  15. HOP to the Next Tasks and Domains for Continual Learning in NLP
    AAAI 2024 ·
    Umberto Michieli
    , Mete Ozay
  16. LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
    EMNLP 2024 ·
    Hayder Elesedy
    ,
    Pedro M. Esperança
    ,
    Silviu Vlad Oprea
    , Mete Ozay
  17. Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
    EMNLP 2024 ·
    Hasan Hammoud
    ,
    Umberto Michieli
    ,
    Fabio Pizzati
    ,
    Philip Torr
    ,
    Adel Bibi
    ,
    Bernard Ghanem
    , Mete Ozay
  18. Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search
    IROS 2024 ·
    Kirill Paramonov
    ,
    Jia-Xing Zhong
    ,
    Umberto Michieli
    ,
    Jijoong Moon
    , Mete Ozay