Kanishka Rao
18 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (9)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π§¬
Topic Evolution
π₯
Mega-Team
(55)
ποΈ
Keyword Collector
(89)
π
Conference Pioneer
π
Century Club
(18)
π
Trend Setter
β‘
Prolific Year
(6)
Conferences
INTERSPEECH (6)
CORL (4)
RSS (3)
CVPR (2)
AAAI (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
recurrent neural network
(3)
speech recognition
(2)
reinforcement learning
(2)
connectionist temporal classification
(2)
multi-task learning
(2)
robotic manipulation
(2)
mobile manipulator
(2)
deep reinforcement learning
(2)
domain adaptation
(1)
domain generalization
(1)
semi-supervised learning
(1)
transfer learning
(1)
sequence modeling
(1)
attention mechanism
(1)
image translation
(1)
sim-to-real transfer
(1)
video understanding
(1)
offline reinforcement learning
(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
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CORL 2023
Token Turing Machines
CVPR 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
Large Language Models as General Pattern Machines
CORL 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 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
Off-Policy Evaluation via Off-Policy Classification
NIPS 2019
Large-Scale Visual Speech Recognition
INTERSPEECH 2019
An Analysis of βAttentionβ in Sequence-to-Sequence Models
INTERSPEECH 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping
INTERSPEECH 2017
A Comparison of Sequence-to-Sequence Models for Speech Recognition
INTERSPEECH 2017
Pronunciation Learning with RNN-Transducers
INTERSPEECH 2017
Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks
INTERSPEECH 2016