Jain et al., Contrastive Code Representation Learning, 2020. For many machine-aided programming tasks, programs with the same functionality should have the same underlying representation. ...
Jain et al., Contrastive Code Representation Learning, 2020. For many machine-aided programming tasks, programs with the same functionality should have the same underlying representation. ...
Research Website and Blog.
Prototypical Contrastive Learning unifies clustering and contrastive self-supervised learning to push the frontiers of unsupervised learning.
Fox, S. Owens, M. Norrish evaluate ([ ],env,s) = (Rval [ ],s) evaluate (x::y::xs,env,s) = case evaluate ([x],env,s) of (Rval v1,s1) ⇒ (case evaluate (y::xs,env,s1) of (Rval vs,s2) ⇒ (Rval ...
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
Contrastive self-supervised learning techniques are a promising class of methods that build representations by learning to encode what makes two things similar or different.
07:30 - 08:55 Breakfast (provided) 08:55 - 09:00 Workshop Opening 09:00 - 09:30 "Getting to Machine Learning from a General Purpose Compiler", Keno Fischer & Jameson Nash, Julia Computing ...
Practical conference about Machine Learning, AI and Deep Learning applications
Machine learning is utilized today in various computing programming and designing algorithms isn't practical like detection of a data breach or system intruders and so forth. The top 10 ...
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – ...