Parag Dutta
6 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Trend Setter
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Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(3)
Core Methods
(3)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications · Natural Language Processing
(1)
Applications · Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
active learning
(2)
representation learning
(2)
offline reinforcement learning
(1)
domain generalization
(1)
text classification
(1)
sequential decision making
(1)
self-supervised learning
(1)
machine translation
(1)
autonomous driving
(1)
sequence tagging
(1)
visual reinforcement learning
(1)
exploration exploitation
(1)
continuous control
(1)
policy improvement
(1)
continuous time
(1)
social network
(1)
spurious correlation
(1)
data efficiency
(1)
fourier neural operator
(1)
temporal point process
(1)
Papers
Active Reinforcement Learning Strategies for Offline Policy Improvement
AAAI 2025
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators
ICCV 2025
Causal Feature Alignment: Learning To Ignore Spurious Background Features
WACV 2024
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
ACML 2023
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection
NAACL 2022
Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
NAACL 2021