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← Authors

Dimitrios Dimitriadis

20 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (103) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

INTERSPEECH (11) AISTATS (2) NAACL (2) ACL (1) ECCV (1) EMNLP (1) ICCV (1) IJCAI (1)

Top co-authors

Sefik Emre Eskimez (4) Robert Gmyr (4) Chenyang Tao (3) Salman Avestimehr (3) Yavuz Faruk Bakman (3) Duygu Nur Yaldiz (3) Kenichi Kumatani (3) Zakaria Aldeneh (2) Baturalp Buyukates (2) Gauri Joshi (2)

Keywords

federated learning (6) automatic speech recognition (5) generative model (3) model compression (2) data augmentation (2) speaker diarization (2) heterogeneous datum (2) knowledge distillation (2) token probability (2) uncertainty estimation (2) multi-task learning (1) sentiment analysis (1) text classification (1) self-supervised learning (1) feature extraction (1) semi-supervised learning (1) ensemble learning (1) voice conversion (1) transfer learning (1) adversarial learning (1)

Papers

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs NAACL 2025 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning ECCV 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling? INTERSPEECH 2024 Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels ICCV 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022 UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022 One-Shot Voice Conversion with Speaker-Agnostic StarGAN INTERSPEECH 2021 GAN-Based Data Generation for Speech Emotion Recognition INTERSPEECH 2020 Sequence-Level Self-Learning with Multiple Hypotheses INTERSPEECH 2020 A Federated Approach in Training Acoustic Models INTERSPEECH 2020 Meeting Transcription Using Asynchronous Distant Microphones INTERSPEECH 2019 English Conversational Telephone Speech Recognition by Humans and Machines INTERSPEECH 2017 Progressive Neural Networks for Transfer Learning in Emotion Recognition INTERSPEECH 2017 Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition INTERSPEECH 2017 Developing On-Line Speaker Diarization System INTERSPEECH 2017 An Investigation on the Use of i-Vectors for Robust ASR INTERSPEECH 2016