Drew A. Hudson
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Topic Modeling, Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition
Most-Cited Works
- → On the Opportunities and Risks of Foundation Models(2021)2,134 cited
- → GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering(2019)132 cited
- → Compositional Attention Networks for Machine Reasoning(2018)132 cited
- → Holistic Evaluation of Language Models(2022)115 cited
- GQA: a new dataset for compositional question answering over real-world images.(2019)
- → Generative Adversarial Transformers(2021)18 cited
- → Learning by Abstraction: The Neural State Machine(2019)17 cited
- → Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)(2022)15 cited
- → Compositional Transformers for Scene Generation(2021)11 cited
- → SODA: Bottleneck Diffusion Models for Representation Learning(2024)9 cited