Acoustic modelling with CD-CTC-SMBR LSTM RNNS. - Andrew W. Senior; Hasim Sak; Felix de Chaumont Quitry; Tara N. Sainath; Kanishka Rao (ASRU, 2015)

Automatic pronunciation verification for speech recognition. - Kanishka Rao; Fuchun Peng; Françoise Beaufays (ICASSP, 2015)

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks. - Kanishka Rao; Fuchun Peng; Hasim Sak; Françoise Beaufays (ICASSP, 2015)

Learning acoustic frame labeling for speech recognition with recurrent neural networks. - Hasim Sak; Andrew W. Senior; Kanishka Rao; Ozan Irsoy; Alex Graves; Françoise Beaufays; Johan Schalkwyk (ICASSP, 2015)

Fast and accurate recurrent neural network acoustic models for speech recognition. - Hasim Sak; Andrew W. Senior; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2015)

Personalized speech recognition on mobile devices. - Ian McGraw; Rohit Prabhavalkar; Raziel Alvarez; Montse Gonzalez Arenas; Kanishka Rao; David Rybach; Ouais Alsharif; Hasim Sak; Alexander Gruenstein; Françoise Beaufays; Carolina Parada (ICASSP, 2016)

Flat start training of CD-CTC-SMBR LSTM RNN acoustic models. - Kanishka Rao; Andrew W. Senior; Hasim Sak (ICASSP, 2016)

Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks. - Daan van Esch; Mason Chua; Kanishka Rao (INTERSPEECH, 2016)

Streaming small-footprint keyword spotting using sequence-to-sequence models. - Yanzhang He; Rohit Prabhavalkar; Kanishka Rao; Wei Li 133; Anton Bakhtin; Ian McGraw (ASRU, 2017)

Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer. - Kanishka Rao; Hasim Sak; Rohit Prabhavalkar (ASRU, 2017)

Multi-accent speech recognition with hierarchical grapheme based models. - Kanishka Rao; Hasim Sak (ICASSP, 2017)

Pronunciation Learning with RNN-Transducers. - Antoine Bruguier; Danushen Gnanapragasam; Leif Johnson; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2017)

A Comparison of Sequence-to-Sequence Models for Speech Recognition. - Rohit Prabhavalkar; Kanishka Rao; Tara N. Sainath; Bo Li 028; Leif Johnson; Navdeep Jaitly (INTERSPEECH, 2017)

An Analysis of "Attention" in Sequence-to-Sequence Models. - Rohit Prabhavalkar; Tara N. Sainath; Bo Li 028; Kanishka Rao; Navdeep Jaitly (INTERSPEECH, 2017)

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping. - Hasim Sak; Matt Shannon; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2017)

Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model. - Bo Li 028; Tara N. Sainath; Khe Chai Sim; Michiel Bacchiani; Eugene Weinstein; Patrick Nguyen; Zhifeng Chen; Yonghui Wu; Kanishka Rao (CoRR, 2017)

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. - 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 028; et al. (ICASSP, 2018)

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model. - Bo Li 028; Tara N. Sainath; Khe Chai Sim; Michiel Bacchiani; Eugene Weinstein; Patrick Nguyen; Zhifeng Chen; Yanghui Wu; Kanishka Rao (ICASSP, 2018)

Multilingual Speech Recognition with a Single End-to-End Model. - Shubham Toshniwal; Tara N. Sainath; Ron J. Weiss; Bo Li 028; Pedro J. Moreno 001; Eugene Weinstein; Kanishka Rao (ICASSP, 2018)

Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow. - Tom Bagby; Kanishka Rao; Khe Chai Sim (SLT, 2018)

Large-Scale Visual Speech Recognition. - Brendan Shillingford; Yannis M. Assael; Matthew W. Hoffman; Thomas Paine; Cían Hughes; Utsav Prabhu; Hank Liao; Hasim Sak; Kanishka Rao; Lorrayne Bennett; Marie Mulville; Ben Coppin; et al. (CoRR, 2018)

Federated Learning for Mobile Keyboard Prediction. - Andrew Hard; Kanishka Rao; Rajiv Mathews; Françoise Beaufays; Sean Augenstein; Hubert Eichner; Chloé Kiddon; Daniel Ramage (CoRR, 2018)

Streaming End-to-end Speech Recognition for Mobile Devices. - Yanzhang He; Tara N. Sainath; Rohit Prabhavalkar; Ian McGraw; Raziel Alvarez; Ding Zhao; David Rybach; Anjuli Kannan; Yonghui Wu; Ruoming Pang; Qiao Liang 001; Deepti Bhatia; et al. (ICASSP, 2019)

Large-Scale Visual Speech Recognition. - Brendan Shillingford; Yannis M. Assael; Matthew W. Hoffman; Thomas Paine; Cían Hughes; Utsav Prabhu; Hank Liao; Hasim Sak; Kanishka Rao; Lorrayne Bennett; Marie Mulville; Misha Denil; et al. (INTERSPEECH, 2019)

Off-Policy Evaluation via Off-Policy Classification. - Alexander Irpan; Kanishka Rao; Konstantinos Bousmalis; Chris Harris 001; Julian Ibarz; Sergey Levine (NeurIPS, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Federated Learning for Emoji Prediction in a Mobile Keyboard. - Swaroop Ramaswamy; Rajiv Mathews; Kanishka Rao; Françoise Beaufays (CoRR, 2019)

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. - Kanishka Rao; Chris Harris 001; Alex Irpan; Sergey Levine; Julian Ibarz; Mohi Khansari (CVPR, 2020)

RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. - Daniel Ho; Kanishka Rao; Zhuo Xu; Eric Jang; Mohi Khansari; Yunfei Bai (ICRA, 2021)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Brian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; et al. (CoRL, 2022)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Michael Ahn; Anthony Brohan; Noah Brown; Yevgen Chebotar; Omar Cortes; Byron David; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Daniel Ho; Jasmine Hsu; et al. (CoRR, 2022)

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. - Yevgen Chebotar; Quan Vuong; Karol Hausman; Fei Xia 002; Yao Lu 006; Alex Irpan; Aviral Kumar; Tianhe Yu; Alexander Herzog; Karl Pertsch; Keerthana Gopalakrishnan; Julian Ibarz; et al. (CoRL, 2023)

Large Language Models as General Pattern Machines. - Suvir Mirchandani; Fei Xia 002; Pete Florence; Brian Ichter; Danny Driess; Montserrat Gonzalez Arenas; Kanishka Rao; Dorsa Sadigh; Andy Zeng 001 (CoRL, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Token Turing Machines. - Michael S. Ryoo; Keerthana Gopalakrishnan; Kumara Kahatapitiya; Ted Xiao; Kanishka Rao; Austin Stone; Yao Lu 006; Julian Ibarz; Anurag Arnab (CVPR, 2023)

Open-vocabulary Queryable Scene Representations for Real World Planning. - Boyuan Chen 003; Fei Xia 002; Brian Ichter; Kanishka Rao; Keerthana Gopalakrishnan; Michael S. Ryoo; Austin Stone; Daniel Kappler (ICRA, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

Protecting Sensitive Data through Federated Co-Training. - Amr Abourayya; Jens Kleesiek; Kanishka Rao; Erman Ayday; Bharat Rao; Geoffrey I. Webb; Michael Kamp (CoRR, 2023)

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. - Jiayuan Gu; Sean Kirmani; Paul Wohlhart; Yao Lu 006; Montserrat Gonzalez Arenas; Kanishka Rao; Wenhao Yu 003; Chuyuan Fu; Keerthana Gopalakrishnan; Zhuo Xu; Priya Sundaresan; Peng Xu 010; et al. (ICLR, 2024)

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. - Montserrat Gonzalez Arenas; Ted Xiao; Sumeet Singh; Vidhi Jain; Allen Z. Ren; Quan Vuong; Jake Varley; Alexander Herzog; Isabel Leal; Sean Kirmani; Mario Prats; Dorsa Sadigh; et al. (ICRA, 2024)

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. - Isabel Leal; Krzysztof Choromanski; Deepali Jain; Avinava Dubey; Jake Varley; Michael S. Ryoo; Yao Lu 006; Frederick Liu; Vikas Sindhwani; Quan Vuong; Tamás Sarlós; Ken Oslund; et al. (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. - Michael Ahn; Debidatta Dwibedi; Chelsea Finn; Montse Gonzalez Arenas; Keerthana Gopalakrishnan; Karol Hausman; Brian Ichter; Alex Irpan; Nikhil J. Joshi; Ryan Julian; Sean Kirmani; Isabel Leal; et al. (CoRR, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. - Amr Abourayya; Jens Kleesiek; Kanishka Rao; Erman Ayday; Bharat Rao; Geoffrey I. Webb; Michael Kamp (AAAI, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)