ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.03829
  4. Cited By
Distilling Knowledge Learned in BERT for Text Generation

Distilling Knowledge Learned in BERT for Text Generation

10 November 2019
Yen-Chun Chen
Zhe Gan
Yu Cheng
Jingzhou Liu
Jingjing Liu
ArXivPDFHTML

Papers citing "Distilling Knowledge Learned in BERT for Text Generation"

8 / 8 papers shown
Title
Reward Optimization for Neural Machine Translation with Learned Metrics
Reward Optimization for Neural Machine Translation with Learned Metrics
Raphael Shu
Kang Min Yoo
Jung-Woo Ha
29
12
0
15 Apr 2021
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
HERO: Hierarchical Encoder for Video+Language Omni-representation
  Pre-training
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li
Yen-Chun Chen
Yu Cheng
Zhe Gan
Licheng Yu
Jingjing Liu
MLLM
VLM
OffRL
AI4TS
41
492
0
01 May 2020
OpenNMT: Neural Machine Translation Toolkit
OpenNMT: Neural Machine Translation Toolkit
Guillaume Klein
Yoon Kim
Yuntian Deng
Vincent Nguyen
Jean Senellart
Alexander M. Rush
144
119
0
28 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
50
185
0
14 Nov 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1