23 citations · 38 across the 3 of their papers we have counts for
7 papers
Distilling Transformers for Neural Cross-Domain Search
Colin B. Clement, Chen Wu, Dawn Drain +1
Pre-trained transformers have recently clinched top spots in the gamut of natural language tasks and pioneered solutions to software engineering tasks. Even information retrieval h…
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
Dawn Drain, Colin B. Clement, Guillermo Serrato +1
The joint task of bug localization and program repair is an integral part of the software development process. In this work we present DeepDebug, an approach to automated debugging…
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck +2
Simultaneously modeling source code and natural language has many exciting applications in automated software development and understanding. Pursuant to achieving such technology,…
Visualizing probabilistic models in Minkowski space with intensive symmetrized Kullback-Leibler embedding
Han Kheng Teoh, Katherine N. Quinn, Jaron Kent-Dobias +3
We show that the predicted probability distributions for any -parameter statistical model taking the form of an exponential family can be explicitly and analytically embedded is…
On the Use of ArXiv as a Dataset
Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe +1
The arXiv has collected 1.5 million pre-print articles over 28 years, hosting literature from scientific fields including Physics, Mathematics, and Computer Science. Each pre-print…
Image registration and super resolution from first principles
Colin B. Clement, Matthew Bierbaum, James P. Sethna
Image registration is the inference of transformations relating noisy and distorted images. It is fundamental in computer vision, experimental physics, and medical imaging. Many al…