Sateesh Kumar
5 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Computer Vision
(1)
Robotics
(1)
Analysis
(1)
Capabilities
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representation learning
(2)
contrastive learning
(1)
action recognition
(1)
temporal modeling
(1)
robotic manipulation
(1)
online clustering
(1)
optimal transport
(1)
self-supervised learning
(1)
inverse reinforcement learning
(1)
class imbalance
(1)
importance sampling
(1)
reward function
(1)
dynamic time warping
(1)
temporal alignment
(1)
cost-sensitive learning
(1)
deep neural network
(1)
loss function
(1)
policy training
(1)
imbalanced classification
(1)
long-tailed distribution
(1)
Papers
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning
CoRL 2025
Graph Inverse Reinforcement Learning from Diverse Videos
CoRL 2022
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
CVPR 2022
Learning by Aligning Videos in Time
CVPR 2021
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
ACML 2019