Kanishka Rao
18 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
👥
Mega-Team · Legion
🧬
Topic Evolution
📈
Trend Setter
💎
Century Club · Bronze
🚀
Conference Pioneer
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(93)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(7)
Core Methods
(7)
Architectures
(6)
Reinforcement Learning
(5)
Speech & Audio
(4)
Applications
(4)
Methods
(4)
Computer Vision
(3)
Application Areas
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Keywords
recurrent neural network
(3)
robotic manipulation
(2)
zero-shot learning
(2)
speech recognition
(2)
multi-task learning
(2)
connectionist temporal classification
(2)
reinforcement learning
(2)
mobile manipulator
(2)
deep reinforcement learning
(2)
domain adaptation
(1)
transfer learning
(1)
domain generalization
(1)
semi-supervised learning
(1)
attention mechanism
(1)
sequence modeling
(1)
trajectory prediction
(1)
sim-to-real transfer
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
knowledge distillation
(1)
Papers
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
AAAI 2025
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Large Language Models as General Pattern Machines
CoRL 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CoRL 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Token Turing Machines
CVPR 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
CVPR 2020
Large-Scale Visual Speech Recognition
Interspeech 2019
Off-Policy Evaluation via Off-Policy Classification
NeurIPS 2019
A Comparison of Sequence-to-Sequence Models for Speech Recognition
Interspeech 2017
An Analysis of “Attention” in Sequence-to-Sequence Models
Interspeech 2017
Pronunciation Learning with RNN-Transducers
Interspeech 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping
Interspeech 2017
Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks
Interspeech 2016