Sainbayar Sukhbaatar

is this you? claim profile

0 followers
Facebook ∙ NYU college ∙ The University of Tokyo

Planning with Arithmetic and Geometric Attributes

A desirable property of an intelligent agent is its ability to understan...
09/06/2018 ∙ by David Folqué, et al. ∙ 10 ∙ share

read it
Augmenting Self-attention with Persistent Memory

Transformer networks have lead to important progress in language modelin...
07/02/2019 ∙ by Sainbayar Sukhbaatar, et al. ∙ 6 ∙ share

read it
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory

Transformers are feedforward networks that can process input tokens in p...
02/21/2020 ∙ by Angela Fan, et al. ∙ 5 ∙ share

read it
Learning to Visually Navigate in Photorealistic Environments Without any Supervision

Learning to navigate in a realistic setting where an agent must rely sol...
04/10/2020 ∙ by Lina Mezghani, et al. ∙ 3 ∙ share

read it
MazeBase: A Sandbox for Learning from Games

This paper introduces MazeBase: an environment for simple 2D games, desi...
11/23/2015 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Training Convolutional Networks with Noisy Labels

The availability of large labeled datasets has allowed Convolutional Net...
06/09/2014 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences

Learning invariant representations from images is one of the hardest cha...
01/15/2013 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Simple Baseline for Visual Question Answering

We describe a very simple bag-of-words baseline for visual question answ...
12/07/2015 ∙ by Bolei Zhou, et al. ∙ 0 ∙ share

read it
End-To-End Memory Networks

We introduce a neural network with a recurrent attention model over a po...
03/31/2015 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Composable Planning with Attributes

The tasks that an agent will need to solve often are not known during tr...
03/01/2018 ∙ by Amy Zhang, et al. ∙ 0 ∙ share

read it
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

In hierarchical reinforcement learning a major challenge is determining ...
11/22/2018 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Adaptive Attention Span in Transformers

We propose a novel self-attention mechanism that can learn its optimal a...
05/19/2019 ∙ by Sainbayar Sukhbaatar, et al. ∙ 0 ∙ share

read it
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Learning when to communicate and doing that effectively is essential in ...
12/23/2018 ∙ by Amanpreet Singh, et al. ∙ 0 ∙ share

read it

Sainbayar Sukhbaatar

Featured Co-authors

Jason Weston

Joan Bruna

Arthur Szlam

Bolei Zhou

Armand Joulin

Hervé Jégou

Edouard Grave

Gabriel Synnaeve

Rob Fergus

Yuandong Tian

Piotr Bojanowski

Planning with Arithmetic and Geometric Attributes

Augmenting Self-attention with Persistent Memory

Accessing Higher-level Representations in Sequential Transformers with Feedback Memory

Learning to Visually Navigate in Photorealistic Environments Without any Supervision

MazeBase: A Sandbox for Learning from Games

Training Convolutional Networks with Noisy Labels

Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences

Simple Baseline for Visual Question Answering

End-To-End Memory Networks

Composable Planning with Attributes

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

Adaptive Attention Span in Transformers

Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks