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173 papers · 1 filter
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar +1
Knowledge Distillation (KD) is a common knowledge transfer algorithm used for model compression across a variety of deep learning based natural language processing (NLP) solutions.…
Sensitivity of future liquid argon dark matter search experiments to core-collapse supernova neutrinos
P. Agnes, S. Albergo, I. F. M. Albuquerque +273
Future liquid-argon DarkSide-20k and ARGO detectors, designed for direct dark matter search, will be sensitive also to core-collapse supernova neutrinos, via coherent elastic neutr…
Dosimetric investigation of 103Pd permanent breast seed implant brachytherapy based on Monte Carlo calculations
Stephen G. Deering, Michelle Hilts, Deidre Batchelar +2
PURPOSE: Permanent breast seed implant (PBSI) using 103Pd is emerging as an effective adjuvant radiation technique for early-stage breast cancer. However, clinical dose evaluations…
Policy Transforms and Learning Optimal Policies
Thomas M. Russell
We study the problem of choosing optimal policy rules in uncertain environments using models that may be incomplete and/or partially identified. We consider a policymaker who wishe…
Intensity -- A Metric Approach to Quantifying Attractor Robustness in ODEs
Katherine J. Meyer, Richard P. McGehee
Although mathematical models do not fully match reality, robustness of dynamical objects to perturbation helps bridge from theoretical to real-world dynamical systems. Classical th…
Vacuum structure of the symmetric Georgi-Machacek model
Duarte Azevedo, Pedro M. Ferreira, Heather E. Logan +1
We discuss the vacuum structure of a version of the Georgi-Machecek model with an exact symmetry acting on the triplet fields. Besides the usual custodial-symmetric…