72 citations · 225 across the 15 of their papers we have counts for
8 papers · 1 filter
Game Design for Eliciting Distinguishable Behavior
Fan Yang, Liu Leqi, Yifan Wu +4
The ability to inferring latent psychological traits from human behavior is key to developing personalized human-interacting machine learning systems. Approaches to infer such trai…
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov +2
Manipulating data, such as weighting data examples or augmenting with new instances, has been increasingly used to improve model training. Previous work has studied various rule- o…
Look-up and Adapt: A One-shot Semantic Parser
Zhichu Lu, Forough Arabshahi, Igor Labutov +1
Computing devices have recently become capable of interacting with their end users via natural language. However, they can only operate within a limited "supported" domain of disco…
Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
Toby Jia-Jun Li, Marissa Radensky, Justin Jia +3
Natural language programming is a promising approach to enable end users to instruct new tasks for intelligent agents. However, our formative study found that end users would often…
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Dan Schwartz, Tom Mitchell
Electroencephalography (EEG) recordings of brain activity taken while participants read or listen to language are widely used within the cognitive neuroscience and psycholinguistic…
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig +2
Current state-of-the-art NMT systems use large neural networks that are not only slow to train, but also often require many heuristics and optimization tricks, such as specialized…