Adam Santoro
19 papers · 2016–2022 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Keyword Trendsetter Combo
(3)
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Topic Evolution
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Keyword Champion
(4)
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Keyword Pioneer
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Conference Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Keyword Collector
(85)
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Deep Learning
(9)
Machine Learning
(9)
Core AI
(9)
Architectures
(6)
Learning Types Β· Machine Learning
(6)
Reinforcement Learning
(5)
Learning Paradigms
(5)
Methods
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(2)
Applications
(2)
Techniques
(2)
Computer Vision
(1)
Keywords
reinforcement learning
(5)
relational reasoning
(4)
neural network
(4)
visual question answering
(2)
few-shot learning
(2)
one-shot learning
(2)
semi-supervised learning
(1)
relational learning
(1)
deep reinforcement learning
(1)
causal reasoning
(1)
imitation learning
(1)
graph learning
(1)
curriculum learning
(1)
contrastive learning
(1)
in-context learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
neural machine translation
(1)
language modeling
(1)
multi-task learning
(1)
Papers
A data-driven approach for learning to control computers
ICML 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NeurIPS 2022
Intra-agent speech permits zero-shot task acquisition
NeurIPS 2022
Tell me why! Explanations support learning relational and causal structure
ICML 2022
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
NeurIPS 2021
Rapid Task-Solving in Novel Environments
ICLR 2021
Automated curriculum generation through setter-solver interactions
ICLR 2020
Environmental drivers of systematicity and generalization in a situated agent
ICLR 2020
An Investigation of Model-Free Planning
ICML 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Hyperbolic Attention Networks
ICLR 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
ICLR 2019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
NeurIPS 2018
Learning Visual Question Answering by Bootstrapping Hard Attention
ECCV 2018
Measuring abstract reasoning in neural networks
ICML 2018
Relational recurrent neural networks
NeurIPS 2018
A simple neural network module for relational reasoning
NeurIPS 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
ICML 2017
Meta-Learning with Memory-Augmented Neural Networks
ICML 2016