Anit Kumar Sahu
7 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Speech & Audio
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
federated learning
(2)
uncertainty quantification
(2)
data selection
(2)
personalized model
(2)
bayesian hierarchical model
(2)
optimal transport
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
natural language generation
(1)
automatic speech recognition
(1)
natural language understanding
(1)
hierarchical model
(1)
expert selection
(1)
projection-free optimization
(1)
zeroth-order optimization
(1)
constrained stochastic optimization
(1)
sinusoidal nonlinearity
(1)
client heterogeneity
(1)
client-server architecture
(1)
fourier feature
(1)
Papers
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
ICLR 2024
Learning When to Trust Which Teacher for Weakly Supervised ASR
Interspeech 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
NeurIPS 2023
ActPerFL: Active Personalized Federated Learning
ACL 2022
Self-Aware Personalized Federated Learning
NeurIPS 2022
Multiplicative Filter Networks
ICLR 2021
Towards Gradient Free and Projection Free Stochastic Optimization
AISTATS 2019