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

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"

14 / 14 papers shown

Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xuelong Li 82 10 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 Haoyang Li 104 4 0 19 Dec 2024
f-Divergence Minimization for Sequence-Level Knowledge Distillation Yuqiao Wen Zichao Li Wenyu Du Lili Mou 39 54 0 27 Jul 2023
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 44 3 0 06 Jun 2023
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering Violetta Shevchenko Ehsan Abbasnejad A. Dick Anton Van Den Hengel Damien Teney 51 0 0 29 Jun 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL 38 51 0 01 Jun 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond Yisheng Xiao Lijun Wu Junliang Guo Juntao Li Hao Fei Tao Qin Tie-Yan Liu 3DV MedIm AI4CE 42 82 0 20 Apr 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 57 215 0 14 Jan 2022
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring Hirofumi Inaguma Yosuke Higuchi Kevin Duh Tatsuya Kawahara Shinji Watanabe 63 11 0 09 Sep 2021
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade Jiatao Gu X. Kong 31 135 0 31 Dec 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 32 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 41 135 0 18 Jun 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 223 7,934 0 17 Aug 2015