1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
SoftWater: Class-Aware Rate Allocation for Softmax Quantization
Joao V. Cavalcanti, Ashia C. Wilson
Post-training quantization pipelines routinely leave the softmax output layer in high precision. Yet in small LLMs with modern vocabularies, the head holds 15--30\% of all paramete…
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo A. Flores, Alyssa H. Smith, Julia A. Fukuyama +1
Machine learning-based decision support systems are increasingly deployed in clinical settings, where probabilistic scoring functions are used to inform and prioritize patient mana…
Semivalue-based data valuation is arbitrary and gameable
Hannah Diehl, Ashia C. Wilson
The game-theoretic notion of the semivalue offers a popular framework for credit attribution and data valuation in machine learning. Semivalues have been proposed for a variety of…
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith M. Suriyakumar, Rohan Alur, Ayush Sekhari +2
Text-to-image diffusion models rely on massive, web-scale datasets. Training them from scratch is computationally expensive, and as a result, developers often prefer to make increm…