LabCompass

Isha Garg

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2014
Advanced Neural Network ApplicationsAdvanced Memory and Neural ComputingAnomaly Detection Techniques and ApplicationsNeural dynamics and brain functionDomain Adaptation and Few-Shot Learning

Publications

21

Citations

211

Est. group size

~1

Recurring co-author estimate

Active years

12

Publishing since 2014

Research summary
AI-generated

Isha Garg's research is in computer science, focusing on topics related to neural networks, memory and neural computing, anomaly detection, brain-inspired computing, and domain adaptation/few-shot learning. Recent work has examined how the curvature (a mathematical measure of how sharply a function changes) of a model's loss function around specific data samples relates to memorization in machine learning models. The available bibliographic data is limited, so the depth of this profile is constrained.​

Neural network design and applicationsNeural computing and memory systemsAnomaly detectionBrain-inspired computingDomain adaptation and few-shot learning

Publication output has fluctuated over the last decade, rising from zero in 2017 to a peak of 5 in 2023, with an average of about 2 papers per year over the last 5 years, suggesting a modest and somewhat variable publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
172018: 1 publication182019: 2 publications192020: 3 publications202021: 4 publications212022: 2 publications222023: 5 publications5232024: 2 publications242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • IEEE Access×4
  • IEEE Transactions on Artificial Intelligence×2
  • Nature Machine Intelligence×1
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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