Deep Neural Networks for Acoustic Modeling in Speech Recognition
We start by analyzing how the choice of online algorithms impacts finetuning performance. For this ex- periment, we use either TD3 or TD3-BC as ...
hmBERT: Historical Multilingual Language Models for Named Entity ...There are two approaches to fine-tuning a TI model to a TD model. The first approach is to fine-tune the TI model using only the target phrase for which we ... Root Cause Prediction from Log Data using Large Language ModelsThis paper exploits the ability of Symbiotic Evolution (SE), as a generic methodology, to elicit a fuzzy rule-base of the Mamdani-type. Efficient Deep Learning Inference Based on Model CompressionWe introduce QuanTA, a novel, easy-to-implement, PEFT method with no inference over- head inspired by quantum circuits, enabling efficient high-rank fine-tuning ...
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