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Hariharan Manikandan

3 papers hereh-index 465 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

most citedLanguage models are weak learners

12 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023★ 12 cited

Language models are weak learners

Hariharan Manikandan, Yiding Jiang, J Zico Kolter

A central notion in practical and theoretical machine learning is that of a weak learner, classifiers that achieve better-than-random performance (on any given distribut…

cs.SE2021

Assessing Validity of Static Analysis Warnings using Ensemble Learning

Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan +3

Static Analysis (SA) tools are used to identify potential weaknesses in code and fix them in advance, while the code is being developed. In legacy codebases with high complexity, t…

cs.AI2021

Multi-context Attention Fusion Neural Network for Software Vulnerability Identification

Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan +3

Security issues in shipped code can lead to unforeseen device malfunction, system crashes or malicious exploitation by crackers, post-deployment. These vulnerabilities incur a cost…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.