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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 / 309 papers shown
Title
SutraNets: Sub-series Autoregressive Networks for Long-Sequence,
  Probabilistic Forecasting
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
Shane Bergsma
Timothy J. Zeyl
Lei Guo
AI4TS
236
10
0
22 Dec 2023
DSS: Synthesizing long Digital Ink using Data augmentation, Style
  encoding and Split generation
DSS: Synthesizing long Digital Ink using Data augmentation, Style encoding and Split generationIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
A. Timofeev
Anastasiia Fadeeva
A. Afonin
C. Musat
Andrii Maksai
294
2
0
29 Nov 2023
Multilingual Mathematical Autoformalization
Multilingual Mathematical Autoformalization
Albert Q. Jiang
Wenda Li
M. Jamnik
AI4CE
173
31
0
07 Nov 2023
Time-series Generation by Contrastive Imitation
Time-series Generation by Contrastive ImitationNeural Information Processing Systems (NeurIPS), 2023
Daniel Jarrett
Ioana Bica
M. Schaar
AI4TS
215
28
0
02 Nov 2023
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic
  Feature Fusion for Problem Shifting
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem ShiftingOcean Engineering (Ocean Eng.), 2023
Gabriel Spadon
Jay Kumar
Derek Eden
Josh van Berkel
Tom Foster
Amilcar Soares
Ronan Fablet
Stan Matwin
Ronald Pelot
264
11
0
29 Oct 2023
Kernel-Elastic Autoencoder for Molecular Design
Kernel-Elastic Autoencoder for Molecular DesignPNAS Nexus (PNAS Nexus), 2023
Haote Li
Yu Shee
B. Allen
F. Maschietto
Victor S. Batista
283
6
0
12 Oct 2023
FABind: Fast and Accurate Protein-Ligand Binding
FABind: Fast and Accurate Protein-Ligand BindingNeural Information Processing Systems (NeurIPS), 2023
Qizhi Pei
Ran Bi
Lijun Wu
Jinhua Zhu
Ziheng Lu
Shufang Xie
Tao Qin
Kun He
Tie-Yan Liu
Rui Yan
499
27
0
10 Oct 2023
Generative Modeling of Regular and Irregular Time Series Data via
  Koopman VAEs
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEsInternational Conference on Learning Representations (ICLR), 2023
Ilan Naiman
N. Benjamin Erichson
Pu Ren
Lbnl Michael W. Mahoney ICSI
Omri Azencot
AI4TS
257
41
0
04 Oct 2023
Towards Green AI in Fine-tuning Large Language Models via Adaptive
  Backpropagation
Towards Green AI in Fine-tuning Large Language Models via Adaptive BackpropagationInternational Conference on Learning Representations (ICLR), 2023
Kai Huang
Hanyu Yin
Heng Huang
Wei Gao
223
15
0
22 Sep 2023
Quantitative Analysis of Forecasting Models:In the Aspect of Online
  Political Bias
Quantitative Analysis of Forecasting Models:In the Aspect of Online Political BiasInternational Conference on Machine Learning and Applications (ICMLA), 2023
S. Tripuraneni
Sadia Kamal
A. Bagavathi
154
1
0
11 Sep 2023
Fully Embedded Time-Series Generative Adversarial Networks
Fully Embedded Time-Series Generative Adversarial Networks
Joe Beck
S. Chakraborty
GANTTAAI4TS
134
2
0
30 Aug 2023
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
Haohe Liu
Yiitan Yuan
Xubo Liu
Xinhao Mei
Qiuqiang Kong
Qiao Tian
Yuping Wang
Wenwu Wang
Yuxuan Wang
Mark D. Plumbley
DiffM
268
368
0
10 Aug 2023
Bird's-Eye-View Scene Graph for Vision-Language Navigation
Bird's-Eye-View Scene Graph for Vision-Language NavigationIEEE International Conference on Computer Vision (ICCV), 2023
Ruitao Liu
Xiaohan Wang
Wenguan Wang
Yi Yang
292
80
0
09 Aug 2023
Scaling Data Generation in Vision-and-Language Navigation
Scaling Data Generation in Vision-and-Language NavigationIEEE International Conference on Computer Vision (ICCV), 2023
Zun Wang
Jialu Li
Yicong Hong
Yi Wang
Qi Wu
Joey Tianyi Zhou
Stephen Gould
Hao Tan
Yu Qiao
LM&Ro
281
99
0
28 Jul 2023
Adversarial Conversational Shaping for Intelligent Agents
Adversarial Conversational Shaping for Intelligent Agents
Piotr Tarasiewicz
Sultan Kenjeyev
Ilana Sebag
Shehab Alshehabi
GAN
134
0
0
20 Jul 2023
On the Constrained Time-Series Generation Problem
On the Constrained Time-Series Generation ProblemNeural Information Processing Systems (NeurIPS), 2023
Andrea Coletta
Sriram Gopalakrishnan
Daniel Borrajo
Svitlana Vyetrenko
DiffMAI4TS
241
59
0
04 Jul 2023
Learning Descriptive Image Captioning via Semipermeable Maximum
  Likelihood Estimation
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood EstimationNeural Information Processing Systems (NeurIPS), 2023
Zihao Yue
Anwen Hu
Liang Zhang
Qin Jin
287
7
0
23 Jun 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion
  Model
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion ModelNeural Information Processing Systems (NeurIPS), 2023
Yizhe Zhang
Jiatao Gu
Zhuofeng Wu
Shuangfei Zhai
J. Susskind
Navdeep Jaitly
DiffM
333
42
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 EstimationNeural Information Processing Systems (NeurIPS), 2023
Saurabh Saxena
Charles Herrmann
Junhwa Hur
Abhishek Kar
Mohammad Norouzi
Deqing Sun
David J. Fleet
DiffM
318
119
0
02 Jun 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
Improving the Robustness of Summarization Systems with Dual AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Preslav Nakov
Guodong Long
Chongyang Tao
Mingzhe Li
Xin Gao
Chen Zhang
Xiangliang Zhang
AAML
147
15
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
114
5
0
28 May 2023
Understanding Emotion Valence is a Joint Deep Learning Task
Understanding Emotion Valence is a Joint Deep Learning TaskWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2023
Gabriel Roccabruna
Seyed Mahed Mousavi
Giuseppe Riccardi
260
1
0
27 May 2023
Diable: Efficient Dialogue State Tracking as Operations on Tables
Diable: Efficient Dialogue State Tracking as Operations on TablesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Pietro Lesci
Yoshinari Fujinuma
Momchil Hardalov
Chao Shang
Yassine Benajiba
Lluís Marquez
LMTD
291
8
0
26 May 2023
Faithful Low-Resource Data-to-Text Generation through Cycle Training
Faithful Low-Resource Data-to-Text Generation through Cycle TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhuoer Wang
Marcus D. Collins
Nikhita Vedula
Simone Filice
S. Malmasi
Oleg Rokhlenko
192
11
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
109
4
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 TranscriptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Haochen Tan
Han Wu
Wei Shao
Xinyun Zhang
Mingjie Zhan
Zhaohui Hou
Ding Liang
Linqi Song
235
2
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
99
8
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 BioreactorsComputers and Chemical Engineering (Comput. Chem. Eng.), 2023
Tianqi Cui
Tom S. Bertalan
Nelson Ndahiro
Pratik Khare
Michael Betenbaugh
C. Maranas
Ioannis G. Kevrekidis
122
16
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 SuppressionInterspeech (Interspeech), 2023
Huatian Zhang
Meng Yu
Yuzhong Wu
Tao Yu
Dong Yu
105
5
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 MeetingsAutomatic Speech Recognition & Understanding (ASRU), 2023
Huatian Zhang
Meng Yu
Dong Yu
145
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
259
8
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
214
104
0
28 Feb 2023
Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
Deep AHS: A Deep Learning Approach to Acoustic Howling SuppressionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Huatian Zhang
Meng Yu
Dong Yu
161
13
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
136
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
156
1
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
121
31
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
132
2
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 approachJournal of Big Data Analytics in Transportation (JBDAT), 2021
Long Chen
Piyushimita
P. Thakuriah
K. Ampountolas
AI4TS
135
27
0
07 Dec 2022
Machine Learning Accelerated PDE Backstepping Observers
Machine Learning Accelerated PDE Backstepping ObserversIEEE Conference on Decision and Control (CDC), 2022
Yuanyuan Shi
Zong-Yi Li
Huan Yu
D. Steeves
Anima Anandkumar
Miroslav Krstic
109
17
0
28 Nov 2022
Ham2Pose: Animating Sign Language Notation into Pose Sequences
Ham2Pose: Animating Sign Language Notation into Pose SequencesComputer Vision and Pattern Recognition (CVPR), 2022
Rotem Shalev-Arkushin
Amit Moryossef
Ohad Fried
SLR
248
29
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
210
7
0
09 Nov 2022
Parallel Attention Forcing for Machine Translation
Parallel Attention Forcing for Machine Translation
Qingyun Dou
Mark Gales
87
1
0
06 Nov 2022
Deliberation Networks and How to Train Them
Deliberation Networks and How to Train Them
Qingyun Dou
Mark Gales
109
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 modelInterspeech (Interspeech), 2022
Pavel Andreev
Nicholas Babaev
Azat Saginbaev
Ivan Shchekotov
Aibek Alanov
315
8
0
03 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series ForecastingSDM (SDM), 2022
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
116
11
0
31 Oct 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Abigail Z. Jacobs
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
321
494
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 LanguagesPacific Asia Conference on Language, Information and Computation (PACLIC), 2022
Gihan Weeraprameshwara
Vihanga Jayawickrama
Nisansa de Silva
Yudhanjaya Wijeratne
135
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 AgentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ziqiao Ma
B. VanDerPloeg
Cristian-Paul Bara
Yidong Huang
Eui-In Kim
Felix Gervits
M. Marge
J. Chai
273
9
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
135
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
236
0
0
18 Oct 2022
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