Kanishka Rao

According to our database1, Kanishka Rao authored at least 46 papers between 2015 and 2024.

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Bibliography

2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Protecting Sensitive Data through Federated Co-Training.
CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
CoRR, 2023



Open-vocabulary Queryable Scene Representations for Real World Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Token Turing Machines.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Large Language Models as General Pattern Machines.
Proceedings of the Conference on Robot Learning, 2023


2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR, 2022


2021
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Federated Learning for Emoji Prediction in a Mobile Keyboard.
CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

Off-Policy Evaluation via Off-Policy Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Large-Scale Visual Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019


2018
Federated Learning for Mobile Keyboard Prediction.
CoRR, 2018

Large-Scale Visual Speech Recognition.
CoRR, 2018

Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Multilingual Speech Recognition with a Single End-to-End Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model.
CoRR, 2017

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An Analysis of "Attention" in Sequence-to-Sequence Models.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Pronunciation Learning with RNN-Transducers.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Multi-accent speech recognition with hierarchical grapheme based models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Streaming small-footprint keyword spotting using sequence-to-sequence models.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Flat start training of CD-CTC-SMBR LSTM RNN acoustic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Personalized speech recognition on mobile devices.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Fast and accurate recurrent neural network acoustic models for speech recognition.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Learning acoustic frame labeling for speech recognition with recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Automatic pronunciation verification for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Acoustic modelling with CD-CTC-SMBR LSTM RNNS.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015


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