Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

9 June 2015

Papers citing "Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks"

50 / 286 papers shown

Title
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 18 21 0 29 Oct 2021
Integrating Categorical Features in End-to-End ASR Rongqing Huang 13 1 0 06 Oct 2021
Fully Spiking Variational Autoencoder Hiromichi Kamata Yusuke Mukuta Tatsuya Harada BDL DRL 30 41 0 26 Sep 2021
Relating Neural Text Degeneration to Exposure Bias Ting-Rui Chiang Yun-Nung Chen 45 17 0 17 Sep 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 23 2 0 13 Sep 2021
Fixing exposure bias with imitation learning needs powerful oracles L. Hormann Artem Sokolov 26 3 0 09 Sep 2021
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems Potsawee Manakul Mark J. F. Gales 13 5 0 08 Sep 2021
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention Katsuyuki Nakamura Hiroki Ohashi Mitsuhiro Okada EgoV 31 12 0 07 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 29 147 0 01 Sep 2021
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues Po-Wei Lin Shang-Yu Su Yun-Nung Chen 26 5 0 31 Aug 2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation Yijin Liu Fandong Meng Yufeng Chen Jinan Xu Jie Zhou 20 16 0 30 Aug 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 38 19 0 28 Aug 2021
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization Shichao Sun Wenjie Li 13 26 0 26 Aug 2021
Reducing Exposure Bias in Training Recurrent Neural Network Transducers Xiaodong Cui Brian Kingsbury G. Saon David Haws Zoltán Tüske 9 5 0 24 Aug 2021
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics Yehao Li Yingwei Pan Jingwen Chen Ting Yao Tao Mei VLM 19 31 0 18 Aug 2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach Mao V. Ngo Tie-Mei Luo Tony Q. S. Quek 22 14 0 09 Aug 2021
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction Dianhao Zhang Ngo Anh Vien Mien Van Seán F. McLoone 3DH HAI 24 6 0 03 Aug 2021
Melody Structure Transfer Network: Generating Music with Separable Self-Attention Ning Zhang Junchi Yan MGen 16 1 0 21 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 352 0 29 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 29 22 0 10 Jun 2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems Haitao Liu Changjun Liu Xiaomo Jiang Xudong Chen Shuhua Yang Xiaofang Wang BDL AI4TS 19 2 0 03 Jun 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation Davis Rempe Tolga Birdal Aaron Hertzmann Jimei Yang Srinath Sridhar Leonidas J. Guibas 3DH 23 310 0 10 May 2021
On the limit of English conversational speech recognition Zoltán Tüske G. Saon Brian Kingsbury 14 50 0 03 May 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution Fuxian Li J. Feng Huan Yan G. Jin Depeng Jin Yong Li GNN AI4TS 17 355 0 30 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 13 24 0 20 Apr 2021
Residual Energy-Based Models for End-to-End Speech Recognition Qiujia Li Yu Zhang Bo-wen Li Liangliang Cao P. Woodland 23 13 0 25 Mar 2021
Non-Autoregressive Translation by Learning Target Categorical Codes Yu Bao Shujian Huang Tong Xiao Dongqi Wang Xinyu Dai Jiajun Chen 16 35 0 21 Mar 2021
Learning Word-Level Confidence For Subword End-to-End ASR David Qiu Qiujia Li Yanzhang He Yu Zhang Bo-wen Li ... Deepti Bhatia Wei Li Ke Hu Tara N. Sainath Ian McGraw 24 32 0 11 Mar 2021
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang Changwoon Choi Jeonghwan Kim Y. Kim 23 24 0 06 Mar 2021
End-to-end acoustic modelling for phone recognition of young readers Lucile Gelin Morgane Daniel J. Pinquier Thomas Pellegrini 14 13 0 04 Mar 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan Haoran Xu Yueying Zhang Xiangyu Zhu Honglei Yin Yu Zheng OffRL AI4CE 30 67 0 23 Feb 2021
End-to-End Automatic Speech Recognition with Deep Mutual Learning Ryo Masumura Mana Ihori Akihiko Takashima Tomohiro Tanaka Takanori Ashihara 17 5 0 16 Feb 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 13 106 0 14 Dec 2020
Time Series Data Imputation: A Survey on Deep Learning Approaches Chenguang Fang Chen Wang SyDa AI4TS AI4CE 9 52 0 23 Nov 2020
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning Weixia Zhang Chao Ma Qi Wu Xiaokang Yang 25 44 0 22 Nov 2020
Deep Shallow Fusion for RNN-T Personalization Duc Le Gil Keren Julian Chan Jay Mahadeokar Christian Fuegen M. Seltzer 13 77 0 16 Nov 2020
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition Zhong Meng S. Parthasarathy Eric Sun Yashesh Gaur Naoyuki Kanda Liang Lu Xie Chen Rui Zhao Jinyu Li Y. Gong AuLLM 14 107 0 03 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 19 22 0 25 Oct 2020
Rescuing neural spike train models from bad MLE Diego M. Arribas Yuan Zhao Il Memming Park 22 8 0 23 Oct 2020
Parallel Tacotron: Non-Autoregressive and Controllable TTS Isaac Elias Heiga Zen Jonathan Shen Yu Zhang Ye Jia Ron J. Weiss Yonghui Wu DRL 14 102 0 22 Oct 2020
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 17 51 0 18 Oct 2020
A Graph Neural Network Framework for Causal Inference in Brain Networks S. Wein W. Malloni A. Tomé Sebastian M. Frank Gina-Isabelle Henze S. Wüst M. Greenlee E. Lang 19 49 0 14 Oct 2020
Improving Text Generation with Student-Forcing Optimal Transport Guoyin Wang Chunyuan Li Jianqiao Li Hao Fu Yuh-Chen Lin ... Ruiyi Zhang Wenlin Wang Dinghan Shen Qian Yang Lawrence Carin OT 22 17 0 12 Oct 2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios Shaoxiong Feng Xuancheng Ren Hongshen Chen Bin Sun Kan Li Xu Sun 18 20 0 05 Oct 2020
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning Xiangxi Shi Xu Yang Jiuxiang Gu Shafiq R. Joty Jianfei Cai 11 52 0 30 Sep 2020
Decision-Aware Conditional GANs for Time Series Data He Sun Zhun Deng Hui Chen David C. Parkes CML AI4TS 22 17 0 26 Sep 2020
Glancing Transformer for Non-Autoregressive Neural Machine Translation Lihua Qian Hao Zhou Yu Bao Mingxuan Wang Lin Qiu Weinan Zhang Yong Yu Lei Li 32 155 0 18 Aug 2020
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR Hayato Futami H. Inaguma Sei Ueno Masato Mimura S. Sakai Tatsuya Kawahara 19 50 0 09 Aug 2020
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm K. Chen Cheng-i Wang Taylor Berg-Kirkpatrick Shlomo Dubnov 17 52 0 04 Aug 2020
Interpretable Sequence Learning for COVID-19 Forecasting Sercan Ö. Arik Chun-Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn ... Martin Nikoltchev Yash Sonthalia Hootan Nakhost Elli Kanal Tomas Pfister AI4TS 15 83 0 03 Aug 2020