Results 11 to 20 of about 46,693,128 (348)
CodeBERT: A Pre-Trained Model for Programming and Natural Languages [PDF]
Findings, 2020 We present CodeBERT, a bimodal pre-trained model for programming language (PL) and natural language (NL). CodeBERT learns general-purpose representations that support downstream NL-PL applications such as natural language code search, code documentation ...
Zhangyin Feng +10 more
semanticscholar +1 more source
PaLM-E: An Embodied Multimodal Language Model [PDF]
International Conference on Machine Learning, 2023 Large language models excel at a wide range of complex tasks. However, enabling general inference in the real world, e.g., for robotics problems, raises the challenge of grounding.
Danny Driess +21 more
semanticscholar +1 more source
SciBERT: A Pretrained Language Model for Scientific Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained language model based on BERT (Devlin et.
Iz Beltagy, Kyle Lo, Arman Cohan
semanticscholar +1 more source
ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates
Nature Methods, 2017 Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic ...
S. Kalyaanamoorthy +4 more
semanticscholar +1 more source
SWISS-MODEL: homology modelling of protein structures and complexes
Nucleic Acids Res., 2018 Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and
A. Waterhouse +11 more
semanticscholar +1 more source
Business Models as Models [PDF]
Long Range Planning, 2010 Drawing on research undertaken in the history and philosophy of science, with particular reference to the extensive literature which discusses the use of models in biology and economics, we explore the question ‘Are Business Models useful?’ We point out that they act as various forms of model: to provide means to describe and classify businesses; to ...
Baden-Fuller, C., Morgan, M.S.
openaire +3 more sources
Universal Language Model Fine-tuning for Text Classification
Annual Meeting of the Association for Computational Linguistics, 2018 Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch. We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning
Jeremy Howard, Sebastian Ruder
semanticscholar +1 more source
The mythos of model interpretability [PDF]
Queue, 2016 In machine learning, the concept of interpretability is both important and slippery.
Zachary Chase Lipton
semanticscholar +1 more source
Comparison of Data Set Bias in Object Recognition Benchmarks
IEEE Access, 2015 Current research in the area of automatic visual object recognition heavily relies on testing the performance of new algorithms by using benchmark data sets.
Ian Model, Lior Shamir
doaj +1 more source
Clinical Profile of Urogenital Fistula in Kathmandu Model Hospital
Journal of Nepal Health Research Council, 2020 Background: To determine the causes of fistula and to share our experience in treating urogenital fistula and its surgical outcome. Methods: This was a retrospective study done at Kathmandu Model Hospital from January 2014 to June 2019 including 261 ...
Hema Kumari Pradhan +9 more
doaj +1 more source