Amanpreet Singh
Contextual Change (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Network Traffic and Congestion Control, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding(2018)3,862 cited
- → SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems(2019)986 cited
- → FLAVA: A Foundational Language And Vision Alignment Model(2022)470 cited
- → Automatically generating test data from a Boolean specification(1994)271 cited
- → UniT: Multimodal Multitask Learning with a Unified Transformer(2021)270 cited
- → Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA(2020)210 cited
- → Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality(2022)172 cited