Suraj Kothawade
8 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
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Hot Topic Early Bird
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Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Deep Learning
(3)
Application Areas
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Speech & Audio
(1)
Applications
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Methods
(1)
Keywords
submodular optimization
(3)
subset selection
(2)
text-to-image generation
(2)
active learning
(2)
few-shot learning
(1)
policy gradient
(1)
data subset selection
(1)
guided sampling
(1)
preference optimization
(1)
automatic speech recognition
(1)
data representation
(1)
class imbalance
(1)
mutual information
(1)
uncertainty sampling
(1)
james-stein estimator
(1)
generative model
(1)
acquisition function
(1)
out-of-distribution detection
(1)
subject-driven generation
(1)
submodular function
(1)
Papers
Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
CVPR 2026
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification
WACV 2024
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
NeurIPS 2024
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
ACL 2023
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
ICML 2022
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
AAAI 2022
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information
ECCV 2022
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
NeurIPS 2021