ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine
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ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation

2 May 2020

Richard Yuanzhe Pang

Papers citing "ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation"

11 / 11 papers shown

Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xiaomeng Li 74 9 0 03 Jan 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Xiao Cui Mo Zhu Yulei Qin Liang Xie Wengang Zhou Yiming Li 83 4 0 19 Dec 2024
f-Divergence Minimization for Sequence-Level Knowledge Distillation Yuqiao Wen Zichao Li Wenyu Du Lili Mou 30 53 0 27 Jul 2023
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 36 3 0 06 Jun 2023
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL 25 50 0 01 Jun 2022
Token Dropping for Efficient BERT Pretraining Le Hou Richard Yuanzhe Pang Dinesh Manocha Yuexin Wu Xinying Song Xiaodan Song Denny Zhou 22 43 0 24 Mar 2022
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models Hanqing Zhang Haolin Song Shaoyu Li Ming Zhou Dawei Song 52 214 0 14 Jan 2022
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade Jiatao Gu X. Kong 28 135 0 31 Dec 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation Jungo Kasai Nikolaos Pappas Hao Peng James Cross Noah A. Smith 38 134 0 18 Jun 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015