3 papers
cs.LG2025
Quant-Trim in Practice: Improved Cross-Platform Low-Bit Deployment on Edge NPUs
Rayen Dhahri, Steffen Urban
Specialized edge accelerators rely on low-bit quantization, but vendor compilers differ in scaling, clipping, and kernel support, often as black boxes. The same floating-point (FP)…
cs.LG2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood
Rayen Dhahri, Alexander Immer, Betrand Charpentier +2
Neural network sparsification is a promising avenue to save computational time and memory costs, especially in an age where many successful AI models are becoming too large to naïv…
cs.CL2022
From Judgement's Premises Towards Key Points
Oren Sultan, Rayen Dhahri, Yauheni Mardan +2
Key Point Analysis(KPA) is a relatively new task in NLP that combines summarization and classification by extracting argumentative key points (KPs) for a topic from a collection of…