4 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Memorization Sinks: Isolating Memorization during LLM Training
Gaurav R. Ghosal, Pratyush Maini, Aditi Raghunathan
Large language models are susceptible to memorizing repeated sequences, posing privacy and copyright concerns. A popular mitigation strategy is to remove memorized information from…
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav Ghosal, Amrith Setlur, Daniel S. Brown +2
Deep neural networks often fail catastrophically by relying on spurious correlations. Most prior work assumes a clear dichotomy into spurious and reliable features; however, this i…
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown +1
When inferring reward functions from human behavior (be it demonstrations, comparisons, physical corrections, or e-stops), it has proven useful to model the human as making noisy-r…
Multi-Stage Prototype Learning for Interpretable Time Series Classification
Bhavesh Kalisetti, Vincent Wang, Gaurav R. Ghosal +2
Deep learning methods are powerful tools in classifying multivariate time series data. Despite their high performance, these methods are hard to interpret, which diminishes their a…