Summary of Impact Of Architectural Modifications on Deep Learning Adversarial Robustness, by Firuz Juraev et al.
Impact of Architectural Modifications on Deep Learning Adversarial Robustnessby Firuz Juraev, Mohammed Abuhamad, Simon S.…
Impact of Architectural Modifications on Deep Learning Adversarial Robustnessby Firuz Juraev, Mohammed Abuhamad, Simon S.…
Three Quantization Regimes for ReLU Networksby Weigutian Ou, Philipp Schenkel, Helmut BölcskeiFirst submitted to arxiv…
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Modelsby Zhiyu Guo, Hidetaka Kamigaito, Taro…
Multitask Extension of Geometrically Aligned Transfer Encoderby Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung…
Position: Understanding LLMs Requires More Than Statistical Generalizationby Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna…
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applicationsby Vegard FlovikFirst…
Conformal Prediction for Natural Language Processing: A Surveyby Margarida M. Campos, António Farinhas, Chrysoula Zerva,…
Soft Label PU Learningby Puning Zhao, Jintao Deng, Xu ChengFirst submitted to arxiv on: 3…
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to…
Cooperation and Federation in Distributed Radar Point Cloud Processingby S. Savazzi, V. Rampa, S. Kianoush,…