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04/29/2022
Flamingo: a Visual Language Model for Few-Shot Learning
Building models that can be rapidly adapted to numerous tasks using only...
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03/21/2022
Teaching language models to support answers with verified quotes
Recent large language models often answer factual questions correctly. B...
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12/08/2021
Improving language models by retrieving from trillions of tokens
We enhance auto-regressive language models by conditioning on document c...
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06/25/2021
Multimodal Few-Shot Learning with Frozen Language Models
When trained at sufficient scale, auto-regressive language models exhibi...
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03/05/2021
Generating Images with Sparse Representations
The high dimensionality of images presents architecture and sampling-eff...
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06/12/2020
A Practical Sparse Approximation for Real Time Recurrent Learning
Current methods for training recurrent neural networks are based on back...
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11/25/2019
Rigging the Lottery: Making All Tickets Winners
Sparse neural networks have been shown to be more parameter and compute ...
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12/04/2018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
The unconditional generation of high fidelity images is a longstanding b...
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04/06/2018
Associative Compression Networks for Representation Learning
This paper introduces Associative Compression Networks (ACNs), a new fra...
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04/06/2018
Associative Compression Networks
This paper introduces Associative Compression Networks (ACNs), a new fra...
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06/30/2017
Noisy Networks for Exploration
We introduce NoisyNet, a deep reinforcement learning agent with parametr...
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04/10/2017