Essays about: "transfer-learning in IR"
Found 3 essays containing the words transfer-learning in IR.
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1. Zero-shot, One Kill: BERT for Neural Information Retrieval
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : [Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al. READ MORE
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2. Transfer Learning in Deep Structured Semantic Models for Information Retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. READ MORE
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3. Improving embedded deep learning object detection by integrating infrared camera
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning is the current state-of-the-art for computer vision applications. FPGAs have a potential to fit this niche due to lower development costs and faster development cycles than ASICs, with a smaller size and power footprint than GPUs. READ MORE
