default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNavdeep Jaitly
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c43]Yizhe Zhang, Jiarui Lu, Navdeep Jaitly:
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. ACL (1) 2024: 1495-1516- [c42]Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) 2024: 14044-14072 - [c41]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 2024: 3782-3803 - [c40]Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP (Findings) 2024: 2572-2585 - [c39]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly:
Matryoshka Diffusion Models. ICLR 2024 - [c38]Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista:
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. ICML 2024 - [c37]Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge:
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV 2024: 2051-2060 - [i56]Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR abs/2401.16380 (2024) - [i55]Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR abs/2402.15000 (2024) - [i54]Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly:
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR abs/2403.04732 (2024) - [i53]Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly:
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR abs/2405.15216 (2024) - [i52]Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind:
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR abs/2405.21048 (2024) - [i51]Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai:
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR abs/2406.00633 (2024) - [i50]He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly:
dMel: Speech Tokenization made Simple. CoRR abs/2407.15835 (2024) - [i49]David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi:
Achieving Human Level Competitive Robot Table Tennis. CoRR abs/2408.03906 (2024) - [i48]Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai:
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. CoRR abs/2410.08159 (2024) - [i47]Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind:
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR abs/2410.23698 (2024) - 2023
- [c36]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? ICASSP 2023: 1-5 - [c35]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous pseudo-labeling from the start. ICLR 2023 - [c34]Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly:
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS 2023 - [c33]David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - [i46]Yizhe Zhang, Jiatao Gu, Zhuofeng Wu
, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly:
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR abs/2306.02531 (2023) - [i45]David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - [i44]Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge:
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR abs/2309.03964 (2023) - [i43]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR abs/2309.11669 (2023) - [i42]Yizhe Zhang, Jiarui Lu, Navdeep Jaitly:
The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. CoRR abs/2310.01468 (2023) - [i41]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly:
Matryoshka Diffusion Models. CoRR abs/2310.15111 (2023) - [i40]Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista:
Generating Molecular Conformer Fields. CoRR abs/2311.17932 (2023) - [i39]Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly:
KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. CoRR abs/2312.11539 (2023) - 2022
- [c32]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. ICBINB 2022: 66-84 - [c31]Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind:
Efficient Representation Learning via Adaptive Context Pooling. ICML 2022: 9346-9355 - [c30]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. ICML 2022: 26010-26027 - [i38]Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind:
Efficient Representation Learning via Adaptive Context Pooling. CoRR abs/2207.01844 (2022) - [i37]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. CoRR abs/2207.07611 (2022) - [i36]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous Pseudo-Labeling from the Start. CoRR abs/2210.08711 (2022) - [i35]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? CoRR abs/2211.00854 (2022) - [i34]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. CoRR abs/2211.06007 (2022) - [i33]Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald:
Understanding the Robustness of Multi-Exit Models under Common Corruptions. CoRR abs/2212.01562 (2022) - 2021
- [c29]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT 2021: 873-880 - 2020
- [c28]William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly:
Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML 2020: 1403-1413 - [c27]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS 2020: 5556-5563 - [i32]William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly:
Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR abs/2002.08926 (2020) - [i31]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR abs/2003.14398 (2020) - [i30]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR abs/2005.03271 (2020)
2010 – 2019
- 2019
- [i29]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i28]Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly:
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR abs/1912.06640 (2019) - 2018
- [c26]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP 2018: 4774-4778 - [c25]Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu:
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP 2018: 4779-4783 - [c24]Dieterich Lawson, Chung-Cheng Chiu, George Tucker, Colin Raffel, Kevin Swersky, Navdeep Jaitly:
Learning Hard Alignments with Variational Inference. ICASSP 2018: 5799-5803 - [c23]Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang:
Speech Recognition for Medical Conversations. INTERSPEECH 2018: 2972-2976 - [i27]Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen:
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR abs/1811.12927 (2018) - 2017
- [j9]Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering:
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. J. Signal Process. Syst. 88(2): 205-217 (2017) - [c22]Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever:
Learning online alignments with continuous rewards policy gradient. ICASSP 2017: 2801-2805 - [c21]Yu Zhang, William Chan, Navdeep Jaitly:
Very deep convolutional networks for end-to-end speech recognition. ICASSP 2017: 4845-4849 - [c20]William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly:
Latent Sequence Decompositions. ICLR (Poster) 2017 - [c19]Jan Chorowski, Navdeep Jaitly:
Towards Better Decoding and Language Model Integration in Sequence to Sequence Models. INTERSPEECH 2017: 523-527 - [c18]Richard Sproat, Navdeep Jaitly:
An RNN Model of Text Normalization. INTERSPEECH 2017: 754-758 - [c17]Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly:
A Comparison of Sequence-to-Sequence Models for Speech Recognition. INTERSPEECH 2017: 939-943 - [c16]Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen:
Sequence-to-Sequence Models Can Directly Translate Foreign Speech. INTERSPEECH 2017: 2625-2629 - [c15]Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly:
An Analysis of "Attention" in Sequence-to-Sequence Models. INTERSPEECH 2017: 3702-3706 - [c14]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH 2017: 4006-4010 - [i26]Akosua Busia, Navdeep Jaitly:
Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction. CoRR abs/1702.03865 (2017) - [i25]Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen:
Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech. CoRR abs/1703.08581 (2017) - [i24]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR abs/1703.10135 (2017) - [i23]Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson:
Discrete Sequential Prediction of Continuous Actions for Deep RL. CoRR abs/1705.05035 (2017) - [i22]Dieterich Lawson, George Tucker, Chung-Cheng Chiu, Colin Raffel, Kevin Swersky, Navdeep Jaitly:
Learning Hard Alignments with Variational Inference. CoRR abs/1705.05524 (2017) - [i21]Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo, George Tucker, Kevin Swersky, Ilya Sutskever, Navdeep Jaitly:
An online sequence-to-sequence model for noisy speech recognition. CoRR abs/1706.06428 (2017) - [i20]Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang:
Speech recognition for medical conversations. CoRR abs/1711.07274 (2017) - [i19]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Katya Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR abs/1712.01769 (2017) - [i18]Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu:
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR abs/1712.05884 (2017) - 2016
- [c13]Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly:
Chained Predictions Using Convolutional Neural Networks. ECCV (4) 2016: 728-743 - [c12]William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals:
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP 2016: 4960-4964 - [c11]Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans:
Reward Augmented Maximum Likelihood for Neural Structured Prediction. NIPS 2016: 1723-1731 - [c10]Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio:
An Online Sequence-to-Sequence Model Using Partial Conditioning. NIPS 2016: 5067-5075 - [p1]Li Deng, Navdeep Jaitly:
Deep Discriminative and Generative Models for speech Pattern Recognition. Handbook of Pattern Recognition and Computer Vision 2016: 27-52 - [i17]Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly:
Chained Predictions Using Convolutional Neural Networks. CoRR abs/1605.02346 (2016) - [i16]Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever:
Learning Online Alignments with Continuous Rewards Policy Gradient. CoRR abs/1608.01281 (2016) - [i15]Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans:
Reward Augmented Maximum Likelihood for Neural Structured Prediction. CoRR abs/1609.00150 (2016) - [i14]Yu Zhang, William Chan, Navdeep Jaitly:
Very Deep Convolutional Networks for End-to-End Speech Recognition. CoRR abs/1610.03022 (2016) - [i13]William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly:
Latent Sequence Decompositions. CoRR abs/1610.03035 (2016) - [i12]Richard Sproat, Navdeep Jaitly:
RNN Approaches to Text Normalization: A Challenge. CoRR abs/1611.00068 (2016) - [i11]Akosua Busia, Jasmine Collins, Navdeep Jaitly:
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning. CoRR abs/1611.01503 (2016) - [i10]Jan Chorowski, Navdeep Jaitly:
Towards better decoding and language model integration in sequence to sequence models. CoRR abs/1612.02695 (2016) - 2015
- [b1]Navdeep Jaitly:
Exploring Deep Learning Methods for Discovering Features in Speech Signals. University of Toronto, Canada, 2015 - [c9]Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer:
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. NIPS 2015: 1171-1179 - [c8]Oriol Vinyals, Meire Fortunato, Navdeep Jaitly:
Pointer Networks. NIPS 2015: 2692-2700 - [i9]Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton:
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units. CoRR abs/1504.00941 (2015) - [i8]Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer:
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. CoRR abs/1506.03099 (2015) - [i7]Oriol Vinyals, Meire Fortunato, Navdeep Jaitly:
Pointer Networks. CoRR abs/1506.03134 (2015) - [i6]William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals:
Listen, Attend and Spell. CoRR abs/1508.01211 (2015) - [i5]Ivan Bogun, Anelia Angelova, Navdeep Jaitly:
Object Recognition from Short Videos for Robotic Perception. CoRR abs/1509.01602 (2015) - [i4]Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio:
An Online Sequence-to-Sequence Model Using Partial Conditioning. CoRR abs/1511.04868 (2015) - [i3]Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow:
Adversarial Autoencoders. CoRR abs/1511.05644 (2015) - 2014
- [c7]Alex Graves, Navdeep Jaitly:
Towards End-To-End Speech Recognition with Recurrent Neural Networks. ICML 2014: 1764-1772 - [c6]Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton:
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. INTERSPEECH 2014: 1905-1909 - [i2]George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov:
Multi-task Neural Networks for QSAR Predictions. CoRR abs/1406.1231 (2014) - [i1]Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly:
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks. CoRR abs/1412.7007 (2014) - 2013
- [j8]Brian L. LaMarche, Kevin L. Crowell, Navdeep Jaitly, Vladislav A. Petyuk, Anuj R. Shah, Ashoka D. Polpitiya, John D. Sandoval, Gary R. Kiebel, Matthew E. Monroe, Stephen J. Callister, Thomas O. Metz, Gordon A. Anderson, Richard D. Smith:
MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. BMC Bioinform. 14: 49 (2013) - [c5]Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed:
Hybrid speech recognition with Deep Bidirectional LSTM. ASRU 2013: 273-278 - [c4]Navdeep Jaitly, Geoffrey E. Hinton:
Using an autoencoder with deformable templates to discover features for automated speech recognition. INTERSPEECH 2013: 1737-1740 - 2012
- [c3]Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke:
Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. INTERSPEECH 2012: 2578-2581 - 2011
- [j7]Izhar Wallach, Navdeep Jaitly, Kong T. Nguyen, Matthieu Schapira, Ryan H. Lilien:
Normalizing Molecular Docking Rankings using Virtually Generated Decoys. J. Chem. Inf. Model. 51(8): 1817-1830 (2011) - [c2]Navdeep Jaitly, Geoffrey E. Hinton:
Learning a better representation of speech soundwaves using restricted boltzmann machines. ICASSP 2011: 5884-5887 - 2010
- [j6]Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic:
Applications in Data-Intensive Computing. Adv. Comput. 79: 1-70 (2010) - [j5]Navdeep Jaitly, Marcus A. Brubaker, John L. Rubinstein, Ryan H. Lilien:
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. Bioinform. 26(19): 2406-2415 (2010)
2000 – 2009
- 2009
- [j4]Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith:
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinform. 10 (2009) - [c1]Anuj R. Shah, Navdeep Jaitly, Nino Zuljevic, Matthew E. Monroe, Andrei Liyu, Ashoka D. Polpitiya, Joshua N. Adkins, Mikhail E. Belov, Gordon A. Anderson, Richard D. Smith, Ian Gorton:
An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. eScience 2009: 88-93 - 2008
- [j3]Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine, Matthew E. Monroe, Kenneth J. Auberry, Joshua N. Adkins, Richard D. Smith:
DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. Bioinform. 24(7): 1021-1023 (2008) - [j2]Ashoka D. Polpitiya, Wei-Jun Qian, Navdeep Jaitly, Vladislav A. Petyuk, Joshua N. Adkins, David G. Camp II, Gordon A. Anderson, Richard D. Smith:
DAnTE: a statistical tool for quantitative analysis of -omics data. Bioinform. 24(13): 1556-1558 (2008) - 2007
- [j1]Matthew E. Monroe, Nikola Tolic, Navdeep Jaitly, Jason L. Shaw, Joshua N. Adkins, Richard D. Smith:
VIPER: an advanced software package to support high-throughput LC-MS peptide identification. Bioinform. 23(15): 2021-2023 (2007)