708 citations · 766 across the 6 of their papers we have counts for
6 papers
LaMDA: Language Models for Dialog Applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall +57
We present LaMDA: Language Models for Dialog Applications. LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters an…
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez +12
In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the shared objective of making current AI systems…
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors
Marc Pickett, Ayush Sekhari, James Davidson
Domain knowledge can often be encoded in the structure of a network, such as convolutional layers for vision, which has been shown to increase generalization and decrease sample co…
A Growing Long-term Episodic & Semantic Memory
Marc Pickett, Rami Al-Rfou, Louis Shao +1
The long-term memory of most connectionist systems lies entirely in the weights of the system. Since the number of weights is typically fixed, this bounds the total amount of knowl…
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking
Rami Al-Rfou, Marc Pickett, Javier Snaider +3
We investigate the task of modeling open-domain, multi-turn, unstructured, multi-participant, conversational dialogue. We specifically study the effect of incorporating different e…
Spontaneous Analogy by Piggybacking on a Perceptual System
Marc Pickett, David W. Aha
Most computational models of analogy assume they are given a delineated source domain and often a specified target domain. These systems do not address how analogs can be isolated…