www.nature.com/npjcompumats REVIEW ARTICLE OPEN Recent advances and applications of deep learning methods in materials science Kamal Choudhary 1,2,3 ✉, Brian DeCost 4, Chi Chen 5, Anubhav Jain 6, Francesca Tavazza 1, Ryan Cohn 7, Cheol Woo Park8, Alok Choudhary9, Ankit Agrawal9,...
This is the first blog post in a two-part series. The series expands on the Frontiers of Natural Language Processing session organized byHerman Kamperand me at theDeep Learning Indaba 2018. Slides of the entire session can be foundhere. This post discusses major recent advances in NLP focusing...
However, recent advances in computer vision have led to the development of 3D foundation models. These are large, pre-trained neural networks that can establish fast and accurate multi-view correspondences with very few images, even in the absence of rich visual features. This paper advocates for...
5 Natural Language Reasoning [1]Schlag, Imanol, and Jürgen Schmidhuber.Learning to reason with third order tensor products.Advances in neural information processing systems. 2018.[pdf] 6 Modularity/Compositional or Systematic Generalization [1]Jacobs R A, Jordan M I, Nowlan S J, et al.Adaptive...
Recent Advances and Avenues for Future Work With the unified 5-stage pipeline in place, let us highlight somerecent advancesandtrendsin deep learning for routing problems. We will also provide some future research directions with a focus on improving generalization to large-scale and real-world in...
Non-structure-based CPI prediction introduces recent advances in non-structure-based CPI prediction models, including chemogenomics-based models, transcriptomics-based models, and network-based models. Additionally, we describe commonly used datasets and evaluation benchmarks for CPI prediction. In ...
大模型(LLM)最新论文摘要 | A Survey of Serverless Machine Learning Model Inference Authors: Kamil Kojs Recent developments in Generative AI, Computer Vision, and Natural Language Processing have led to an increased integration of AI models into various products. This widespread adoption of AI ...
Today, advances in experimental methods provide much-needed insights of battery microstructural features using a combination of analysis tools such as X-ray and neutron diffraction, electron microscopy, nuclear magnetic resonance, X-ray spectroscopy and Raman spectroscopy213. ML is becoming a new ...
A Survey of Natural Language Generation in Task-Oriented Dialogue System (TOD): Recent Advances and New FrontiersThis repository contains a list of papers, open-sourced codes, datasets and leaderboards in NLG field which is carefully and comprehensively organized. If you found any error, please don...
NotificationsYou must be signed in to change notification settings Fork1 Star0 master 1Branch Tags Code This branch is83 commits behindMingSun-Tse/Efficient-Deep-Learning:master. README MIT license EfficientDNNs A collection of recent methods on DNN compression and acceleration. There are mainly 5...