32 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Chris Lengerich, Gabriel Synnaeve, Amy Zhang +4
Traditional approaches to RL have focused on learning decision policies directly from episodic decisions, while slowly and implicitly learning the semantics of compositional repres…
cs.CL2022
Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization?
Chris Lengerich, Ben Lengerich
We develop the few-shot continual learning task from first principles and hypothesize an evolutionary motivation and mechanism of action for executive function as a contrastive val…
cs.CL2016★ 32 cited
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
Chris Lengerich, Awni Hannun
We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection. We develop novel inference algorithms for an end-to-end Recurr…