Navdeep Jaitly

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Papers (33)

1. Scaling Properties of Continuous Diffusion Spoken Language Models cs.CL · 2026 · author #9
2. Path-Constrained Mixture-of-Experts cs.LG · 2026 · author #5
3. LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning cs.LG · 2025 · author #5
4. Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesis cs.MM · 2024 · author #6
5. Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling cs.LG · 2019 · author #36
6. Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play cs.RO · 2018 · author #5
7. Peptide-Spectra Matching from Weak Supervision q-bio.QM · 2018 · author #5
8. Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions cs.CL · 2017 · author #5
9. State-of-the-art Speech Recognition With Sequence-to-Sequence Models cs.CL · 2017 · author #11
10. Speech recognition for medical conversations cs.CL · 2017 · author #5
11. An online sequence-to-sequence model for noisy speech recognition cs.CL · 2017 · author #7
12. Learning Hard Alignments with Variational Inference cs.AI · 2017 · author #6
13. Discrete Sequential Prediction of Continuous Actions for Deep RL cs.LG · 2017 · author #3
14. Tacotron: Towards End-to-End Speech Synthesis cs.CL · 2017 · author #6
15. Sequence-to-Sequence Models Can Directly Translate Foreign Speech cs.CL · 2017 · author #3
16. Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction cs.LG · 2017 · author #2
17. Towards better decoding and language model integration in sequence to sequence models cs.NE · 2016 · author #2
18. Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning cs.LG · 2016 · author #3
19. RNN Approaches to Text Normalization: A Challenge cs.CL · 2016 · author #2
20. Latent Sequence Decompositions stat.ML · 2016 · author #4
21. Very Deep Convolutional Networks for End-to-End Speech Recognition cs.CL · 2016 · author #3
22. Reward Augmented Maximum Likelihood for Neural Structured Prediction cs.LG · 2016 · author #4
23. Learning Online Alignments with Continuous Rewards Policy Gradient cs.LG · 2016 · author #3
24. Chained Predictions Using Convolutional Neural Networks cs.CV · 2016 · author #3
25. Adversarial Autoencoders cs.LG · 2015 · author #3
26. A Neural Transducer cs.LG · 2015 · author #1
27. Object Recognition from Short Videos for Robotic Perception cs.CV · 2015 · author #3
28. Listen, Attend and Spell cs.CL · 2015 · author #2
29. Pointer Networks stat.ML · 2015 · author #3
30. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks cs.LG · 2015 · author #3
31. A Simple Way to Initialize Recurrent Networks of Rectified Linear Units cs.NE · 2015 · author #2
32. Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks cs.CV · 2014 · author #6
33. Multi-task Neural Networks for QSAR Predictions stat.ML · 2014 · author #2

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Frequent Coauthors

• Yonghui Wu 7 shared papers
• Chung-Cheng Chiu 6 shared papers
• Zhifeng Chen 6 shared papers
• Ron J. Weiss 5 shared papers
• Jan Chorowski 4 shared papers
• Oriol Vinyals 4 shared papers
• Samy Bengio 4 shared papers
• William Chan 4 shared papers
• Yu Zhang 4 shared papers
• Anjuli Kannan 3 shared papers
• Ilya Sutskever 3 shared papers
• Mike Schuster 3 shared papers
• Patrick Nguyen 3 shared papers
• Quoc V. Le 3 shared papers
• Tatiana Likhomanenko 3 shared papers
• Zongheng Yang 3 shared papers
• Akosua Busia 2 shared papers
• Bo Li 2 shared papers
• Colin Raffel 2 shared papers
• Dieterich Lawson 2 shared papers