3 papers
cs.LG2025
Replay to Remember: Retaining Domain Knowledge in Streaming Language Models
Sneh Pillai
Continual learning in large language models (LLMs) typically encounters the critical challenge of catastrophic forgetting, where previously acquired knowledge deteriorates upon exp…
cs.LG2025
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
Sneh Pillai
Detecting anomalies in time series data is a critical task across many domains. The challenge intensifies when anomalies are sparse and the data are multivariate with relational de…
cs.CV2025
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings
Sneh Pillai
Training vision-language models for image-text alignment typically requires large datasets to achieve robust performance. In low-data scenarios, standard contrastive learning can s…