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20172023
most citedLeveraging Unlabeled Data to Predict Out-of-Distribution Performance

19 citations · 77 across the 21 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 2 cited

Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection

Renjie Li, Son Tran, Saurabh Garg +3

Keypoint detection plays an important role in a wide range of applications. However, predicting keypoints of small objects such as human hands is a challenging problem. Recent work…

cs.LG2021★ 5 cited

Mixture Proportion Estimation and PU Learning: A Modern Approach

Saurabh Garg, Yifan Wu, Alex Smola +2

Given only positive examples and unlabeled examples (from both positive and negative classes), we might hope nevertheless to estimate an accurate positive-versus-negative classifie…

cs.DC2021

SDP: Scalable Real-time Dynamic Graph Partitioner

Md Anwarul Kaium Patwary, Saurabh Garg, Sudheer Kumar Battula +1

Time-evolving large graph has received attention due to their participation in real-world applications such as social networks and PageRank calculation. It is necessary to partitio…

cs.CR2021★ 4 cited

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues

Khizar Hameed, Mutaz Barika, Saurabh Garg +2

Blockchain technology has taken on a leading role in today's industrial applications by providing salient features and showing significant performance since its beginning. Blockcha…

cs.LG2021★ 2 cited

RATT: Leveraging Unlabeled Data to Guarantee Generalization

Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter +1

To assess generalization, machine learning scientists typically either (i) bound the generalization gap and then (after training) plug in the empirical risk to obtain a bound on th…