Navdeep Jaitly - Citegraph

Author Info

Name	Affiliation	Papers
NAVDEEP JAITLY	Univ Toronto, Dept Comp Sci, Toronto, ON M5S 3G4, Canada	44
Collaborators	Citations	PageRank
174	2988	166.08
Referers	Referees	References
8679	1010	416

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Publications (44 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Rnn-T Models Fail To Generalize To Out-Of-Domain Audio: Causes And Solutions	0	0.34	2021
Imputer: Sequence Modelling via Imputation and Dynamic Programming	0	0.34	2020
Robotic Table Tennis with Model-Free Reinforcement Learning	0	0.34	2020
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.	2	0.36	2019
Speech Recognition For Medical Conversations	1	0.35	2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play.	1	0.35	2018
Towards Better Decoding And Language Model Integration In Sequence To Sequence Models	10	0.51	2017
Tacotron: Towards End-To-End Speech Synthesis	70	2.70	2017
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.	0	0.34	2017
An Rnn Model Of Text Normalization	2	0.40	2017
Sequence-To-Sequence Models Can Directly Translate Foreign Speech	2	0.36	2017
An online sequence-to-sequence model for noisy speech recognition.	1	0.37	2017
Latent Sequence Decompositions.	12	0.79	2017
Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction.	3	0.39	2017
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.	7	0.44	2017
Discrete Sequential Prediction of Continuous Actions for Deep RL.	6	0.57	2017
An Analysis Of "Attention" In Sequence-To-Sequence Models	5	0.44	2017
A Comparison Of Sequence-To-Sequence Models For Speech Recognition	22	0.88	2017
Chained Predictions Using Convolutional Neural Networks	31	0.86	2016
An Online Sequence-to-Sequence Model Using Partial Conditioning.	0	0.34	2016
RNN Approaches to Text Normalization: A Challenge.	0	0.34	2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction.	29	0.95	2016
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning.	0	0.34	2016
Listen, Attend and Spell	50	2.43	2015
Pointer Networks.	159	6.69	2015
Object Recognition from Short Videos for Robotic Perception	2	0.35	2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units.	94	3.55	2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks	208	6.26	2015
Adversarial Autoencoders.	0	0.34	2015
Multi-task Neural Networks for QSAR Predictions.	27	1.60	2014
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.	2	0.44	2014
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.	0	0.34	2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks.	23	2.62	2014
MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis.	11	0.59	2013
Hybrid speech recognition with Deep Bidirectional LSTM.	72	3.05	2013
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups	2005	111.42	2012
Normalizing Molecular Docking Rankings using Virtually Generated Decoys.	1	0.36	2011
Learning A Better Representation Of Speech Soundwaves Using Restricted Boltzmann Machines	46	2.31	2011
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy.	6	1.63	2010
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.	30	1.95	2009
An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry	0	0.34	2009
DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra.	3	0.64	2008
DAnTE: a statistical tool for quantitative analysis of -omics data.	22	2.78	2008
VIPER: an advanced software package to support high-throughput LC-MS peptide identification.	23	3.31	2007