Tejas D Kulkarni
6 papers · 2013–2023 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird 𧬠Topic Evolution
π
Keyword Trendsetter Combo
(3)
π§
Keyword Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(50)
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Deep Learning
(4)
Core AI Β· Artificial Intelligence
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core AI Β· Computer Vision
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Computer Science
(1)
Keywords
differential privacy
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
image generation
(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)
unsupervised learning
(1)
Papers
Practical Differentially Private Hyperparameter Tuning with Subsampling
NeurIPS 2023
Unsupervised Learning of Object Keypoints for Perception and Control
NeurIPS 2019
Self-Supervised Intrinsic Image Decomposition
NeurIPS 2017
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
NeurIPS 2016
Deep Convolutional Inverse Graphics Network
NeurIPS 2015
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
NeurIPS 2013