Search Results for author:
Found 6 papers, 3 papers with code
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
In this work, we explore a multi-round code auto-editing setting, aiming to predict edits to a code region based on recent changes within the same codebase.
TypeT5: Seq2seq Type Inference using Static Analysis
There has been growing interest in automatically predicting missing type annotations in programs written in Python and JavaScript.
Visual Encoding and Debiasing for CTR Prediction
In this paper, we present a visual encoding framework for CTR prediction to overcome these problems.
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations
Accurate kinodynamic models play a crucial role in many robotics applications such as off-road navigation and high-speed driving.
Visual Question Rewriting for Increasing Response Rate
Offline experiments and mechanical Turk based evaluations show that it is possible to rewrite bland questions in a more detailed and attractive way to increase the response rate, and images can be helpful.
LambdaNet: Probabilistic Type Inference using Graph Neural Networks
Given this program abstraction, we then use a graph neural network to propagate information between related type variables and eventually make type predictions.
