Robert Gmyr

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi

MSR-TR-2022-6 | May 2022

Published by Microsoft

Publication

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi

CoRR | December 2021, Vol abs/2112.05820

Publication

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr

INTERSPEECH 2022 | August 2021

Publication DOI Project

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021

PDF Publication

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. | July 2021

Publication

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

Empirical Methods in Natural Language Processing (EMNLP) | November 2020

Publication

Sequence-Level Self-Learning with Multiple Hypotheses

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

Interspeech | October 2020

Publication DOI Project

A Federated Approach in Training Acoustic Models

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

INTERSPEECH 2020 | October 2020

Publication Project

GAN-based Data Generation for Speech Emotion Recognition

Sefik Emre Eskimez, Dimitrios Dimitriadis, Robert Gmyr, Kenichi Kumatani

INTERSPEECH 2020 | October 2020

Publication Project

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Project

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

2020 Empirical Methods in Natural Language Processing | March 2020

DOI Publication

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

arXiv 1912.11602 | December 2019

Publication

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi

MSR-TR-2022-6 | May 2022

Published by Microsoft

Publication

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi

CoRR | December 2021, Vol abs/2112.05820

Publication

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr

INTERSPEECH 2022 | August 2021

Publication DOI Project

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021

PDF Publication

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. | July 2021

Publication

Sequence-Level Self-Learning with Multiple Hypotheses

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

Interspeech | October 2020

Publication DOI Project

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Project

GAN-based Data Generation for Speech Emotion Recognition

Sefik Emre Eskimez, Dimitrios Dimitriadis, Robert Gmyr, Kenichi Kumatani

INTERSPEECH 2020 | October 2020

Publication Project

A Federated Approach in Training Acoustic Models

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

INTERSPEECH 2020 | October 2020

Publication Project

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

2020 Empirical Methods in Natural Language Processing | March 2020

DOI Publication

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021

PDF Publication

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. | July 2021

Publication

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

Empirical Methods in Natural Language Processing (EMNLP) | November 2020

Publication

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

2020 Empirical Methods in Natural Language Processing | March 2020

DOI Publication

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

arXiv 1912.11602 | December 2019

Publication

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Project

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Project

GAN-based Data Generation for Speech Emotion Recognition

Sefik Emre Eskimez, Dimitrios Dimitriadis, Robert Gmyr, Kenichi Kumatani

INTERSPEECH 2020 | October 2020

Publication Project

A Federated Approach in Training Acoustic Models

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

INTERSPEECH 2020 | October 2020

Publication Project

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

A Federated Approach in Training Acoustic Models

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

INTERSPEECH 2020 | October 2020

Publication Project

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

North American Chapter of the Association for Computational Linguistics (NAACL) 2024 | May 2023

Publication

One-Shot Voice Conversion with Speaker-Agnostic StarGAN

Sefik Emre Eskimez, Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr

INTERSPEECH 2022 | August 2021

Publication DOI Project

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

2021 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2021

PDF Publication

Leveraging Lead Bias for Zero-shot Abstractive News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. | July 2021

Publication

Sequence-Level Self-Learning with Multiple Hypotheses

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

Interspeech | October 2020

Publication DOI Project

GAN-based Data Generation for Speech Emotion Recognition

Sefik Emre Eskimez, Dimitrios Dimitriadis, Robert Gmyr, Kenichi Kumatani

INTERSPEECH 2020 | October 2020

Publication Project

A Federated Approach in Training Acoustic Models

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

INTERSPEECH 2020 | October 2020

Publication Project

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

2020 Empirical Methods in Natural Language Processing | March 2020

DOI Publication

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Kenichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo , Devang Patel, Eric Sun, Yu Shi

CoRR | December 2021, Vol abs/2112.05820

Publication

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

Empirical Methods in Natural Language Processing (EMNLP) | November 2020

Publication

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

arXiv 1912.11602 | December 2019

Publication

Knowledge Distillation for Mixture of Experts Models in Speech Recognition

Felipe Cruz Salinas, Kenichi Kumatani, Robert Gmyr, Linquan Liu, Yu Shi

MSR-TR-2022-6 | May 2022

Published by Microsoft

Publication

Federated Transfer Learning with Dynamic Gradient Aggregation

Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

August 2020

Publication Project

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Project