Self-predictive unsupervised learning methods such as BYOL or SimSiam ha...
Learning from large amounts of unsupervised data and a small amount of
s...
While it is known that communication facilitates cooperation in multi-ag...
Lewis signaling games are a class of simple communication games for
simu...
The Game Theory Multi-Agent team at DeepMind studies several aspects...
We introduce DeepNash, an autonomous agent capable of learning to play t...
Populations have often been perceived as a structuring component for lan...
This paper introduces TRUncated ReinForcement Learning for Language (Tru...
Sparse rewards are double-edged training signals in reinforcement learni...
Most successful self-supervised learning methods are trained to align th...
Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach ...
Language drift has been one of the major obstacles to train language mod...
Speaker recognition is a well known and studied task in the speech proce...
This paper introduces the Sequential Monte Carlo Transformer, an origina...
We introduce Bootstrap Your Own Latent (BYOL), a new approach to
self-su...
Supervised learning methods excel at capturing statistical properties of...
Language creates a compact representation of the world and allows the
de...
A new method has been developed for the correction of the distortions an...
In materials science and particularly electron microscopy, Electron
Back...
We know from reinforcement learning theory that temporal difference lear...
Recent breakthroughs in computer vision and natural language processing ...
We introduce HoME: a Household Multimodal Environment for artificial age...
We introduce a general-purpose conditioning method for neural networks c...
Achieving artificial visual reasoning - the ability to answer image-rela...
It is commonly assumed that language refers to high-level visual concept...
End-to-end design of dialogue systems has recently become a popular rese...
We introduce GuessWhat?!, a two-player guessing game as a testbed for
re...
Collaborative Filtering aims at exploiting the feedback of users to prov...