Harit Vishwakarma
12 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Machine Learning
(12)
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(7)
Optimization & Theory
(7)
Artificial Intelligence
(5)
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Core AI
(5)
Core Methods
(4)
Natural Language Processing
(2)
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(2)
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(1)
Knowledge & Reasoning
(1)
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Learning Paradigms Β· Machine Learning
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Keywords
threshold-based labeling
(2)
threshold-based method
(2)
weak supervision
(2)
semi-supervised learning
(2)
uncertainty quantification
(1)
conformal prediction
(1)
lottery ticket hypothesis
(1)
structured prediction
(1)
adversarial learning
(1)
text classification
(1)
domain adaptation
(1)
model calibration
(1)
logical reasoning
(1)
model robustness
(1)
adversarial machine learning
(1)
optimal transport
(1)
sample complexity
(1)
confidence calibration
(1)
pseudo labeling
(1)
probabilistic modeling
(1)
Papers
Prune βn Predict: Optimizing LLM Decision-making with Conformal Prediction
ICML 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
NeurIPS 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NeurIPS 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback
AISTATS 2024
Promises and Pitfalls of Threshold-based Auto-labeling
NeurIPS 2023
Train 'n Trade: Foundations of Parameter Markets
NeurIPS 2023
Lifting Weak Supervision To Structured Prediction
NeurIPS 2022
Universalizing Weak Supervision
ICLR 2022
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
NeurIPS 2020
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
NeurIPS 2020
Quantum Embedding of Knowledge for Reasoning
NeurIPS 2019