Tianxing He
Tianxing He
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Reshaping deep neural network for fast decoding by node-pruning
T He, Y Fan, Y Qian, T Tan, K Yu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1162014
Why gradient clipping accelerates training: A theoretical justification for adaptivity
J Zhang, T He, S Sra, A Jadbabaie
International Conference on Learning Representations 2020, 2019
762019
Quantifying exposure bias for neural language generation
T He, J Zhang, Z Zhou, J Glass
182019
On training bi-directional neural network language model with noise contrastive estimation
T He, Y Zhang, J Droppo, K Yu
2016 10th International Symposium on Chinese Spoken Language Processing …, 2016
162016
Detecting egregious responses in neural sequence-to-sequence models
T He, J Glass
International Conference on Learning Representations 2019, 2018
142018
Exploiting LSTM structure in deep neural networks for speech recognition
T He, J Droppo
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
112016
An empirical study of transformer-based neural language model adaptation
K Li, Z Liu, T He, H Huang, F Peng, D Povey, S Khudanpur
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
92020
Negative training for neural dialogue response generation
T He, J Glass
ACL 2020, 2019
92019
Recurrent neural network language model with structured word embeddings for speech recognition
T He, X Xiang, Y Qian, K Yu
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
82015
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
T He, J Liu, K Cho, M Ott, B Liu, J Glass, F Peng
72019
Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition
Y Qian, T He, W Deng, K Yu
2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015
62015
Suvrit Sra, and Ali Jadbabaie. Analysis of gradient clipping and adaptive scaling with a relaxed smoothness condition
J Zhang, T He
arXiv preprint arXiv:1905.11881, 2019
52019
An investigation on DNN-derived bottleneck features for GMM-HMM based robust speech recognition
Y You, Y Qian, T He, K Yu
2015 IEEE China Summit and International Conference on Signal and …, 2015
52015
Paragraph vector based topic model for language model adaptation
W Jin, T He, Y Qian, K Yu
Sixteenth Annual Conference of the International Speech Communication …, 2015
52015
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
M Nadeem, T He, K Cho, J Glass
AACL 2020, 2020
42020
Analysis of gradient clipping and adaptive scaling with a relaxed smoothness condition
J Zhang, T He, S Sra, A Jadbabaie
arXiv preprint arXiv:1905.11881, 2019
42019
Multi-view lstm language model with word-synchronized auxiliary feature for lvcsr
Y Wu, T He, Z Chen, Y Qian, K Yu
Chinese Computational Linguistics and Natural Language Processing Based on …, 2017
42017
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
T He, J Liu, K Cho, M Ott, B Liu, J Glass, F Peng
Proceedings of the 16th Conference of the European Chapter of the …, 2021
22021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
T He, B McCann, C Xiong, E Hosseini-Asl
EACL 2021, 2021
22021
Quantifying Exposure Bias for Open-ended Language Generation
T He, J Zhang, Z Zhou, J Glass
arXiv preprint arXiv:1905.10617, 2019
22019
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