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Tianxing He
Tianxing He
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
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
1702019
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
1332014
Quantifying exposure bias for neural language generation
T He, J Zhang, Z Zhou, J Glass
262019
Negative training for neural dialogue response generation
T He, J Glass
ACL 2020, 2019
252019
Exploiting LSTM structure in deep neural networks for speech recognition
T He, J Droppo
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
222016
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
192020
Detecting egregious responses in neural sequence-to-sequence models
T He, J Glass
International Conference on Learning Representations 2019, 2018
182018
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
182016
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
92021
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
M Nadeem, T He, K Cho, J Glass
AACL 2020, 2020
92020
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
82015
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
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
T He, B McCann, C Xiong, E Hosseini-Asl
EACL 2021, 2021
72021
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
Analysis of gradient clipping and adaptive scaling with a relaxed smoothness condition
J Zhang, T He, S Sra, A Jadbabaie
62019
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
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
Quantifying exposure bias for open-ended language generation
T He, J Zhang, Z Zhou, JR Glass
42020
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
T He, J Zhang, Z Zhou, J Glass
arXiv preprint arXiv:1905.10617, 2019
42019
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