Role in this project:
ML Engineer Contributions:24 commits, 1 PR, 35 pushes in 4 years 5 months
Contributions summary:Kuan-Hao contributed significantly to the active learning project by implementing and refining various query strategies. They added strategies like AdversarialBIM and AdversarialDeepFool, modifying the core code and parameters. Further improvements involved fixing bugs and adapting the framework for different datasets like SVHN and CIFAR10, demonstrating a focus on practical application and model performance.
deep-learningneural-networksactive-learningmachine-learningdeep-active-learning
Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".
Contributions:13 commits, 12 pushes, 1 branch in 1 year 4 months
paraphrase-generationdisentangled-representations