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07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
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02/27/2023
LLaMA: Open and Efficient Foundation Language Models
We introduce LLaMA, a collection of foundation language models ranging f...
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05/23/2022
HyperTree Proof Search for Neural Theorem Proving
We propose an online training procedure for a transformer-based automate...
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01/13/2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
In this work, we address the problem of image-goal navigation in the con...
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10/20/2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
Catalyst discovery and optimization is key to solving many societal and ...
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10/14/2020
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
Scalable and cost-effective solutions to renewable energy storage are es...
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02/21/2020
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory
Transformers are feedforward networks that can process input tokens in p...
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10/08/2019
TorchBeast: A PyTorch Platform for Distributed RL
TorchBeast is a platform for reinforcement learning (RL) research in PyT...
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11/19/2018
Efficient keyword spotting using dilated convolutions and gating
We explore the application of end-to-end stateless temporal modeling to ...
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10/30/2018
Spoken Language Understanding on the Edge
We consider the problem of performing Spoken Language Understanding (SLU...
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10/09/2018
Federated Learning for Keyword Spotting
We propose a practical approach based on federated learning to solve out...
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05/25/2018