N . 1969. "Some Problems of Information Processing and Models of the Visual Pathways." J. Theoret. Biol., 22, 67-79.Leibovic, K. N. 1969. “Some Problems of Information Processing and Models of the Visual Pathways.” J. Theoret. Biol. , 22 , 67–79....
This paper presents an evaluation and an analysis of some selected information retrieval models for Bengali monolingual information retrieval task. Two models, TF-IDF model and the Okapi BM25 model have been considered for our study. The developed IR models are tested on FIRE ad hoc retrieval data...
[X-CLIP] Expanding Language-Image Pretrained Models for General Video Recognition [paper] [code] [TinyViT] TinyViT: Fast Pretraining Distillation for Small Vision Transformers [paper] [code] [FastMETRO] Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers [paper]...
DEM Net Elevation API - Library focused on Digital Elevation Models, OSM and 3D from open data. Playground: https://elevationapi.com DotSpatial - DotSpatial is a geographic information system library written for .NET 4. Earth-Lens - Earth Lens, a Microsoft Garage project is an iOS iPad app...
Paper:《All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously-所有模型都是错误的,但许多模型都是有用的:通过同时研究一整类预测模型来了解变量的重要性》翻译与解读 ...
Design of molecules from quantitative structure-activity relationship models. 1. Information transfer between path and vertex degree counts. The concept is presented for obtaining a set of graphs of molecular structures from QSAR equations and a target property or activity value. Background for ... ...
Anatole von Lilienfeld, Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy, arXiv preprint arXiv:1702.05532v1, 2017. pdf; Machine learning prediction errors better than DFT accuracy, arXiv preprint arXiv:1702.05532v2, 2017...
We extend the Integrated Asymmetry hypothesis in considering the relations between principle-based linguistic models and corresponding parsing models with respect to their account of inverse and covert asymmetries. We present an integra... AMD Sciullo - Natural Language Processing-nlp, Second International...
"Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework". EMNLP 2021. paper (TITer) Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He. "TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph ...
After you train the model you can be a near accuracy of the famous models like AlexNet and ResNet. Model Distillation The question is can we use a senior (Good) trained neural network(s) and make them guide a student (New) neural network? For more information look at Hinton et al. ...