Mete Ozay
30 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (9) π Renaissance Researcher (8)
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(8)
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Taxonomy Completionist
(61)
π§
Keyword Pioneer
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Grand Slam
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Keyword Champion
(3)
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Prolific Year
(5)
ποΈ
Keyword Collector
(126)
π₯
Unstoppable
(5)
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Trend Setter
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Century Club
(28)
Conferences
EMNLP (7)
INTERSPEECH (5)
CVPR (4)
ICCV (4)
WACV (3)
ACL (2)
ICML (2)
AAAI (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(7)
model merging
(6)
parameter-efficient fine-tuning
(5)
low-rank adaptation
(5)
multi-task learning
(5)
low-rank adapter
(4)
continual learning
(4)
model compression
(4)
on-device deployment
(3)
automatic speech recognition
(3)
on-device inference
(3)
model personalization
(2)
federated learning
(2)
transfer learning
(2)
compositional multi-tasking
(2)
knowledge distillation
(2)
representation learning
(2)
named entity recognition
(2)
speaker recognition
(2)
natural language processing
(1)
Papers
Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs
WACV 2026
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
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
ICCV 2025
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
CVPR 2025
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
CVPR 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
EMNLP 2025
Efficient Compositional Multi-tasking for On-device Large Language Models
EMNLP 2025
On-device System of Compositional Multi-tasking in Large Language Models
EMNLP 2025
Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
EMNLP 2025
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
EMNLP 2024
A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune
EMNLP 2024
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
EMNLP 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
AAAI 2024
Conceptual and Hierarchical Latent Space Decomposition for Face Editing
ICCV 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
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
INTERSPEECH 2023
LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal
WACV 2023
FedNST: Federated Noisy Student Training for Automatic Speech Recognition
INTERSPEECH 2022
pMCT: Patched Multi-Condition Training for Robust Speech Recognition
INTERSPEECH 2022
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning
CVPR 2022
Feature Kernel Distillation
ICLR 2022
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
ICML 2022
Fine-grained Optimization of Deep Neural Networks
NIPS 2019
Feature Quantization for Defending Against Distortion of Images
CVPR 2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
ICML 2018
Truncating Wide Networks Using Binary Tree Architectures
ICCV 2017
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes
ICCV 2015