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Found 8 papers, 3 papers with code
Towards Making Deep Learning-based Vulnerability Detectors Robust
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention.
Network Architecture Search for Domain Adaptation
Deep networks have been used to learn transferable representations for domain adaptation.
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Extensive experiments are conducted to demonstrate the power of our new datasets in benchmarking state-of-the-art multi-source domain adaptation methods, as well as the advantage of our proposed model.
Learning 3D Part Assembly from a Single Image
Autonomous assembly is a crucial capability for robots in many applications.
Learning Domain Adaptive Features with Unlabeled Domain Bridges
Secondly, we propose the Prototypical Adversarial Domain Adaptation (PADA) model which utilizes unlabeled bridge domains to align feature distribution between source and target with a large discrepancy.
Language Modeling with Graph Temporal Convolutional Networks
Recently, there have been some attempts to use non-recurrent neural models for language modeling.
Revisiting Image-Language Networks for Open-ended Phrase Detection
Most existing work that grounds natural language phrases in images starts with the assumption that the phrase in question is relevant to the image.
A 20-Liter Test Stand with Gas Purification for Liquid Argon Research
We describe the design of a 20-liter test stand constructed to study fundamental properties of liquid argon (LAr).
Instrumentation and Detectors High Energy Physics - Experiment
