Dustin Schwenk
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Topic Modeling, Natural Language Processing Techniques, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Objaverse: A Universe of Annotated 3D Objects(2023)496 cited
- → Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension(2017)249 cited
- → A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge(2022)193 cited
- → X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers(2020)79 cited
- → OLMo: Accelerating the Science of Language Models(2024)46 cited
- → Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research(2024)33 cited
- → Proceedings of the 2nd Workshop on Machine Reading for Question Answering(2019)24 cited
- → SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World(2024)20 cited
- → Learning Generalizable Visual Representations via Interactive Gameplay(2019)12 cited