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06/01/2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Constructing AI models that respond to text instructions is challenging,...
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05/19/2023
Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Large Language Models (LLMs) present immense potential in the medical fi...
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01/10/2023
Mastering Diverse Domains through World Models
General intelligence requires solving tasks across many domains. Current...
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09/27/2022
Exploring Low Rank Training of Deep Neural Networks
Training deep neural networks in low rank, i.e. with factorised layers, ...
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12/23/2020
Noisy Labels Can Induce Good Representations
The current success of deep learning depends on large-scale labeled data...
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10/05/2020
Mastering Atari with Discrete World Models
Intelligent agents need to generalize from past experience to achieve go...
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07/09/2020
A Study of Gradient Variance in Deep Learning
The impact of gradient noise on training deep models is widely acknowled...
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06/18/2020
When Does Preconditioning Help or Hurt Generalization?
While second order optimizers such as natural gradient descent (NGD) oft...
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12/03/2019
Dream to Control: Learning Behaviors by Latent Imagination
Learned world models summarize an agent's experience to facilitate learn...
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05/30/2019
Graph Normalizing Flows
We introduce graph normalizing flows: a new, reversible graph neural net...
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02/21/2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
The choice of batch-size in a stochastic optimization algorithm plays a ...
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02/10/2015
