Dimitrios Dimitriadis | DeepAI

DeepAI AI Chat

Featured Co-authors

Shinji Watanabe
239 publications
Jun Zhang
202 publications
Zhuo Chen
102 publications
Jinyu Li
100 publications
Shrikanth Narayanan
93 publications
Louis-Philippe Morency
90 publications
Robert West
84 publications
Taylor Berg-Kirkpatrick
73 publications
Anastasios Kyrillidis
66 publications
Yifan Gong
59 publications
Yan Huang
55 publications

∙ 07/17/2023

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels

Many existing FL methods assume clients with fully-labeled data, while i...

0 Yae Jee Cho, et al. ∙

∙ 06/14/2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts

One of the goals in Federated Learning (FL) is to create personalized mo...

0 Chen Dun, et al. ∙

∙ 05/23/2023

Counterfactual Augmentation for Multimodal Learning Under Presentation Bias

In real-world machine learning systems, labels are often derived from us...

0 Victoria Lin, et al. ∙

∙ 10/28/2022

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout

Asynchronous learning protocols have regained attention lately, especial...

0 Chen Dun, et al. ∙

∙ 10/04/2022

Invariant Aggregator for Defending Federated Backdoor Attacks

Federated learning is gaining popularity as it enables training of high-...

0 Xiaoyang Wang, et al. ∙

∙ 09/18/2022

Distribution inference risks: Identifying and mitigating sources of leakage

A large body of work shows that machine learning (ML) models can leak se...

0 Valentin Hartmann, et al. ∙

∙ 04/27/2022

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Federated learning (FL) enables edge-devices to collaboratively learn a ...

0 Yae Jee Cho, et al. ∙

∙ 03/25/2022

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

In this paper we introduce "Federated Learning Utilities and Tools for E...

0 Dimitrios Dimitriadis, et al. ∙

∙ 12/10/2021

Sequence-level self-learning with multiple hypotheses

In this work, we develop new self-learning techniques with an attention-...

0 Kenichi Kumatani, et al. ∙

∙ 10/19/2021

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal

Federated Learning is a fast growing area of ML where the training datas...

0 Tae Jin Park, et al. ∙

∙ 10/01/2021

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis

Global models are trained to be as generalizable as possible, with user ...

0 Fatemehsadat Mireshghallah, et al. ∙

∙ 06/14/2021

Dynamic Gradient Aggregation for Federated Domain Adaptation

In this paper, a new learning algorithm for Federated Learning (FL) is i...

0 Dimitrios Dimitriadis, et al. ∙

∙ 01/24/2021

A Review of Speaker Diarization: Recent Advances with Deep Learning

Speaker diarization is a task to label audio or video recordings with cl...

3 Tae Jin Park, et al. ∙

∙ 08/06/2020

Federated Transfer Learning with Dynamic Gradient Aggregation

In this paper, a Federated Learning (FL) simulation platform is introduc...

23 Dimitrios Dimitriadis, et al. ∙

∙ 12/10/2019

Advances in Online Audio-Visual Meeting Transcription

This paper describes a system that generates speaker-annotated transcrip...

15 Takuya Yoshioka, et al. ∙

∙ 10/24/2019

Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings

Involvement hot spots have been proposed as a useful concept for meeting...

0 Dave Makhervaks, et al. ∙

∙ 08/30/2019

Enhancements for Audio-only Diarization Systems

In this paper two different approaches to enhance the performance of the...

0 Dimitrios Dimitriadis, et al. ∙

∙ 05/03/2019

Meeting Transcription Using Virtual Microphone Arrays

We describe a system that generates speaker-annotated transcripts of mee...

0 Takuya Yoshioka, et al. ∙

∙ 04/13/2019

Low-Latency Speaker-Independent Continuous Speech Separation

Speaker independent continuous speech separation (SI-CSS) is a task of c...

0 Takuya Yoshioka, et al. ∙

∙ 05/09/2018

Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task

This work focuses on the use of acoustic cues for modeling turn-taking i...

0 Zakaria Aldeneh, et al. ∙

∙ 08/23/2017

Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition

The goal of continuous emotion recognition is to assign an emotion value...

0 Soheil Khorram, et al. ∙

∙ 03/06/2017

English Conversational Telephone Speech Recognition by Humans and Machines

One of the most difficult speech recognition tasks is accurate recogniti...

0 George Saon, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world