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Professor Forcing: A New Algorithm for Training Recurrent Networks

Professor Forcing: A New Algorithm for Training Recurrent Networks

27 October 2016
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
    GAN
ArXiv (abs)PDFHTML

Papers citing "Professor Forcing: A New Algorithm for Training Recurrent Networks"

50 / 293 papers shown
Title
Learning Descriptive Image Captioning via Semipermeable Maximum
  Likelihood Estimation
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
Zihao Yue
Anwen Hu
Liang Zhang
Qin Jin
92
2
0
23 Jun 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion
  Model
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Yizhe Zhang
Jiatao Gu
Zhuofeng Wu
Shuangfei Zhai
J. Susskind
Navdeep Jaitly
DiffM
122
28
0
05 Jun 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and
  Monocular Depth Estimation
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena
Charles Herrmann
Junhwa Hur
Abhishek Kar
Mohammad Norouzi
Deqing Sun
David J. Fleet
DiffM
114
85
0
02 Jun 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
Improving the Robustness of Summarization Systems with Dual Augmentation
Preslav Nakov
Guodong Long
Chongyang Tao
Mingzhe Li
Xin Gao
Chen Zhang
Xiangliang Zhang
AAML
63
12
0
01 Jun 2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Lei Li
Kai Fan
Ling Yang
Hongjian Li
Chun Yuan
71
4
0
28 May 2023
Understanding Emotion Valence is a Joint Deep Learning Task
Understanding Emotion Valence is a Joint Deep Learning Task
Gabriel Roccabruna
Seyed Mahed Mousavi
Giuseppe Riccardi
59
0
0
27 May 2023
Diable: Efficient Dialogue State Tracking as Operations on Tables
Diable: Efficient Dialogue State Tracking as Operations on Tables
Pietro Lesci
Yoshinari Fujinuma
Momchil Hardalov
Chao Shang
Yassine Benajiba
Lluís Marquez
LMTD
67
7
0
26 May 2023
Faithful Low-Resource Data-to-Text Generation through Cycle Training
Faithful Low-Resource Data-to-Text Generation through Cycle Training
Zhuoer Wang
Marcus D. Collins
Nikhita Vedula
Simone Filice
S. Malmasi
Oleg Rokhlenko
99
10
0
24 May 2023
What Matters in Reinforcement Learning for Tractography
What Matters in Reinforcement Learning for Tractography
Antoine Théberge
Christian Desrosiers
Maxime Descoteaux
Pierre-Marc Jodoin
OffRL
39
2
0
15 May 2023
Reconstruct Before Summarize: An Efficient Two-Step Framework for
  Condensing and Summarizing Meeting Transcripts
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts
Haochen Tan
Han Wu
Wei Shao
Xinyun Zhang
Mingjie Zhan
Zhaohui Hou
Ding Liang
Linqi Song
73
0
0
13 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time
  Series Forecasting
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting
Jimeng Shi
Rukmangadh Myana
Vitalii Stebliankin
Azam Shirali
Giri Narasimhan
AI4TS
38
7
0
08 May 2023
Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell
  Bioreactors
Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors
Tianqi Cui
Tom S. Bertalan
Nelson Ndahiro
Pratik Khare
Michael Betenbaugh
C. Maranas
Ioannis G. Kevrekidis
21
9
0
05 May 2023
Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic
  Howling Suppression
Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression
Huatian Zhang
Meng Yu
Yuzhong Wu
Tao Yu
Dong Yu
60
4
0
04 May 2023
Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression
  in Hybrid Meetings
Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings
Huatian Zhang
Meng Yu
Dong Yu
60
2
0
02 May 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
107
6
0
06 Apr 2023
Monocular Depth Estimation using Diffusion Models
Monocular Depth Estimation using Diffusion Models
Saurabh Saxena
Abhishek Kar
Mohammad Norouzi
David J. Fleet
DiffMVLMMDE
104
86
0
28 Feb 2023
Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
Huatian Zhang
Meng Yu
Dong Yu
70
9
0
18 Feb 2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text
  Generation
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
Xiang Lin
Prathyusha Jwalapuram
Shafiq Joty
DiffM
58
0
0
31 Jan 2023
SSR-TA: Sequence to Sequence based expert recurrent recommendation for
  ticket automation
SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation
Chenhan Cao
Xiaoyu Fang
Bingqing Luo
Bin Xia
95
0
0
30 Jan 2023
Regular Time-series Generation using SGM
Regular Time-series Generation using SGM
Haksoo Lim
Minjung Kim
Sewon Park
Noseong Park
DiffMTTAAI4TS
63
24
0
20 Jan 2023
A Mutation-based Text Generation for Adversarial Machine Learning
  Applications
A Mutation-based Text Generation for Adversarial Machine Learning Applications
Jesus Guerrero
G. Liang
I. Alsmadi
DeLMOMedIm
68
1
0
21 Dec 2022
Short term prediction of demand for ride hailing services: A deep
  learning approach
Short term prediction of demand for ride hailing services: A deep learning approach
Long Chen
Piyushimita
P. Thakuriah
K. Ampountolas
AI4TS
59
22
0
07 Dec 2022
Machine Learning Accelerated PDE Backstepping Observers
Machine Learning Accelerated PDE Backstepping Observers
Yuanyuan Shi
Zong-Yi Li
Huan Yu
D. Steeves
Anima Anandkumar
Miroslav Krstic
64
15
0
28 Nov 2022
Ham2Pose: Animating Sign Language Notation into Pose Sequences
Ham2Pose: Animating Sign Language Notation into Pose Sequences
Rotem Shalev-Arkushin
Amit Moryossef
Ohad Fried
SLR
85
19
0
24 Nov 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and
  Noise-inspired Regularization
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Alexander Wikner
Joseph Harvey
M. Girvan
Brian R. Hunt
Andrew Pomerance
Thomas Antonsen
Edward Ott
72
6
0
09 Nov 2022
Parallel Attention Forcing for Machine Translation
Parallel Attention Forcing for Machine Translation
Qingyun Dou
Mark Gales
42
0
0
06 Nov 2022
Deliberation Networks and How to Train Them
Deliberation Networks and How to Train Them
Qingyun Dou
Mark Gales
61
0
0
06 Nov 2022
Iterative autoregression: a novel trick to improve your low-latency
  speech enhancement model
Iterative autoregression: a novel trick to improve your low-latency speech enhancement model
Pavel Andreev
Nicholas Babaev
Azat Saginbaev
Ivan Shchekotov
Aibek Alanov
75
5
0
03 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
62
5
0
31 Oct 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
153
374
0
27 Oct 2022
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource
  Languages
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages
Gihan Weeraprameshwara
Vihanga Jayawickrama
Nisansa de Silva
Yudhanjaya Wijeratne
66
4
0
26 Oct 2022
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in
  Interactive Autonomous Driving Agents
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
Ziqiao Ma
B. VanDerPloeg
Cristian-Paul Bara
Yidong Huang
Eui-In Kim
Felix Gervits
M. Marge
J. Chai
150
7
0
22 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum
  Likelihood Estimation
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation
Henry Li
Y. Kluger
50
2
0
19 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
80
0
0
18 Oct 2022
Flipped Classroom: Effective Teaching for Time Series Forecasting
Flipped Classroom: Effective Teaching for Time Series Forecasting
P. Teutsch
Patrick Mäder
AI4TS
67
8
0
17 Oct 2022
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for
  Vision-Language Few-Shot Prompting
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Oscar Manas
Pau Rodríguez López
Saba Ahmadi
Aida Nematzadeh
Yash Goyal
Aishwarya Agrawal
VLMVPVLM
63
51
0
13 Oct 2022
GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon
Jeonghak Kim
Haryong Song
Seunghyeon Cho
Noseong Park
AI4TS
174
46
0
05 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Ashwin Hebbar
Viraj Nadkarni
Ashok Vardhan Makkuva
S. Bhat
Sewoong Oh
Pramod Viswanath
63
8
0
01 Oct 2022
Thinking Hallucination for Video Captioning
Thinking Hallucination for Video Captioning
Nasib Ullah
Partha Pratim Mohanta
VLM
77
6
0
28 Sep 2022
Multiple-Choice Question Generation: Towards an Automated Assessment
  Framework
Multiple-Choice Question Generation: Towards an Automated Assessment Framework
Vatsal Raina
Mark Gales
AI4EdELM
67
34
0
23 Sep 2022
Learning with Local Gradients at the Edge
Learning with Local Gradients at the Edge
M. Lomnitz
Z. Daniels
David C. Zhang
M. Piacentino
81
1
0
17 Aug 2022
InitialGAN: A Language GAN with Completely Random Initialization
InitialGAN: A Language GAN with Completely Random Initialization
Da Ren
Qing Li
GAN
62
2
0
04 Aug 2022
Time-series Transformer Generative Adversarial Networks
Time-series Transformer Generative Adversarial Networks
Padmanaba Srinivasan
William J. Knottenbelt
AI4TS
68
14
0
23 May 2022
End-to-End Visual Editing with a Generatively Pre-Trained Artist
End-to-End Visual Editing with a Generatively Pre-Trained Artist
A. Brown
Cheng-Yang Fu
Omkar M. Parkhi
Tamara L. Berg
Andrea Vedaldi
DiffM
86
8
0
03 May 2022
Supervised Attention in Sequence-to-Sequence Models for Speech
  Recognition
Supervised Attention in Sequence-to-Sequence Models for Speech Recognition
Gene-Ping Yang
Hao Tang
44
2
0
25 Apr 2022
Approaching sales forecasting using recurrent neural networks and
  transformers
Approaching sales forecasting using recurrent neural networks and transformers
Iván Vallés-Pérez
E. Soria-Olivas
M. Martínez-Sober
Antonio J. Serrano
J. Gómez-Sanchís
Fernando Mateo
AI4TS
52
37
0
16 Apr 2022
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Yaojie Hu
Xingjian Shi
Qiang Zhou
Lee Pike
KELM
75
13
0
13 Apr 2022
PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction
  Transformer
PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer
Lina Achaji
Thierno Barry
Thibault Fouqueray
Julien Moreau
François Aioun
François Charpillet
92
16
0
17 Mar 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Chen Tang
Frank Guerin
Chenghua Lin
AI4CEOOD
119
19
0
06 Mar 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better
Predicting on the Edge: Identifying Where a Larger Model Does Better
Taman Narayan
Heinrich Jiang
Sen Zhao
Surinder Kumar
79
7
0
15 Feb 2022
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