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08/04/2023
TIPICAL – Type Inference for Python In Critical Accuracy Level
Type inference methods based on deep learning are becoming increasingly ...
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08/26/2022
Generalizability of Code Clone Detection on CodeBERT
Transformer networks such as CodeBERT already achieve outstanding result...
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08/19/2022
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
Optional type annotations allow for enriching dynamic programming langua...
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12/13/2021
ROMEO: Exploring Juliet through the Lens of Assembly Language
Automatic vulnerability detection on C/C++ source code has benefitted fr...
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04/22/2021
Self-Supervised Learning from Semantically Imprecise Data
Learning from imprecise labels such as "animal" or "bird", but making pr...
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10/13/2020
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Noisy data, crawled from the web or supplied by volunteers such as Mecha...
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01/20/2020
Active and Incremental Learning with Weak Supervision
Large amounts of labeled training data are one of the main contributors ...
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11/17/2018
Integrating domain knowledge: using hierarchies to improve deep classifiers
One of the most prominent problems in machine learning in the age of dee...
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11/17/2018
Not just a matter of semantics: the relationship between visual similarity and semantic similarity
Knowledge transfer, zero-shot learning and semantic image retrieval are ...
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09/26/2018
Active Learning for Deep Object Detection
The great success that deep models have achieved in the past is mainly o...
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06/14/2016
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks
Neural networks and especially convolutional neural networks are of grea...
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02/23/2015
