Tejas D Kulkarni
6 papers · 2013–2023 · 1 conference · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (13) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer
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Academic Marathon
(10)
π£
Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
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Trend Setter
Conferences
NIPS (6)
Top co-authors
Research topics
Keywords
differential privacy
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
approximate inference
(1)
variational inference
(1)
computer vision
(1)
bayesian inference
(1)
scene understanding
(1)
data subsampling
(1)
self-supervised learning
(1)
knowledge transfer
(1)
computer graphics
(1)
object tracking
(1)
image interpretation
(1)
hierarchical reinforcement learning
(1)
approximate bayesian inference
(1)
probabilistic programming
(1)
temporal abstraction
(1)
hyperparameter tuning
(1)
unsupervised learning
(1)
Papers
Practical Differentially Private Hyperparameter Tuning with Subsampling
NIPS 2023
Unsupervised Learning of Object Keypoints for Perception and Control
NIPS 2019
Self-Supervised Intrinsic Image Decomposition
NIPS 2017
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
NIPS 2016
Deep Convolutional Inverse Graphics Network
NIPS 2015
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
NIPS 2013