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sharanyakatna/README.md

Sharanya Katna

Final-year CS student at SRM Institute of Technology. I work on continual learning and self-supervised learning — specifically, how models can keep learning without forgetting and without human supervision.

Research

  • PPCL — Plasticity-Preserving Continual Learning. Spectral methods to detect and prevent representation collapse in continual SSL. Targeting NeurIPS 2026. → repo
  • ACE — Adaptive Confidence-Based Encoder Freezing. 55% forgetting reduction, no replay buffers. First-author oral at IEEE CCWC 2026. → repo
  • Emoji Sentiment Analysis — SSL-based sentiment model, 86.18% accuracy. IEEE CONECCT 2025. → repo

Previously

  • Research Intern, Samsung Research Institute Bangalore (Jan–Jun 2025)
  • OTIS++ — Edge-AI occupancy detection on Raspberry Pi. AIoT Project Expo 2024 winner, ₹80,000 Dean's funding.

✉️ sharanyakatna13@gmail.com

Pinned Loading

  1. ace ace Public

    Adaptive Confidence-Based Encoder Freezing — continual learning via model confidence. 55% forgetting reduction. First-author oral, IEEE CCWC 2026.

    Python

  2. ppcl ppcl Public

    Plasticity-Preserving Continual Learning — spectral methods to detect and prevent representation collapse in continual SSL.

    Python

  3. sentimentanalysis sentimentanalysis Public

    Emoji-based sentiment analysis with Emoji2Vec embeddings. 86.18% accuracy, +12% over TF-IDF baseline. IEEE CONECCT 2025.

    Jupyter Notebook