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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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06/12/2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
The visual classification performance of vision-language models such as ...
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12/24/2022
GraphCast: Learning skillful medium-range global weather forecasting
We introduce a machine-learning (ML)-based weather simulator–called "Gra...
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05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
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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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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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02/02/2022
Unified Scaling Laws for Routed Language Models
The performance of a language model has been shown to be effectively mod...
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07/30/2021
Perceiver IO: A General Architecture for Structured Inputs Outputs
The recently-proposed Perceiver model obtains good results on several do...
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07/20/2021
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
We present a new dataset of Wikipedia articles each paired with a knowle...
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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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03/04/2021
Perceiver: General Perception with Iterative Attention
Biological systems understand the world by simultaneously processing hig...
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06/02/2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
We explore the use of Vector Quantized Variational AutoEncoder (VQ-VAE) ...
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04/29/2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
This paper addresses the challenging problem of retrieval and matching o...
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09/06/2018
Deep Audio-Visual Speech Recognition
The goal of this work is to recognise phrases and sentences being spoken...
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07/10/2018
Universal Transformers
Self-attentive feed-forward sequence models have been shown to achieve i...
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06/05/2018
Relational recurrent neural networks
Memory-based neural networks model temporal data by leveraging an abilit...
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04/18/2018
A Study on Overfitting in Deep Reinforcement Learning
Recent years have witnessed significant progresses in deep Reinforcement...
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08/16/2017
StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
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03/01/2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
When training neural networks, the use of Synthetic Gradients (SG) allow...
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10/03/2016
Video Pixel Networks
We propose a probabilistic video model, the Video Pixel Network (VPN), t...
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09/12/2016
WaveNet: A Generative Model for Raw Audio
This paper introduces WaveNet, a deep neural network for generating raw ...
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06/13/2016
Matching Networks for One Shot Learning
Learning from a few examples remains a key challenge in machine learning...
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06/19/2015
A Neural Conversational Model
Conversational modeling is an important task in natural language underst...
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12/19/2014
Qualitatively characterizing neural network optimization problems
Training neural networks involves solving large-scale non-convex optimiz...
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11/17/2014
Show and Tell: A Neural Image Caption Generator
Automatically describing the content of an image is a fundamental proble...
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09/08/2014
