Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Project
Few-shot Learning
Deep neural networks including pre-trained language models like BERT, Turing-NLG and GPT-3 require thousands of labeled training examples to obtain state-of-the-art performance for downstream tasks and applications. Such large number of labeled examples are difficult…
Project
Knowledge Distillation
Modern machine learning applications have enjoyed a great boost utilizing deep and large neural network models, allowing them to achieve state-of-the-art results on a wide range of tasks such as question-answering, conversational AI, search and…
Tool
RobustDG
RobustDG is a library of ML models that generalize to unseen domains and provides evaluation metrics on accuracy and multiple robustness metrics.
Publication
Programming by Rewards
Publication