João Sacramento
15 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32)
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Keyword Champion
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
(61)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(9)
Optimization & Theory
(8)
Deep Learning
(7)
Architectures
(5)
Core AI
(5)
Learning Types · Machine Learning
(5)
Core Methods
(4)
Learning Paradigms · Artificial Intelligence
(4)
Learning Paradigms · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
credit assignment
(5)
neural network optimization
(3)
continual learning
(3)
neural network
(3)
synaptic plasticity
(2)
compositional generalization
(2)
recurrent neural network
(2)
representation learning
(2)
biological plausibility
(2)
gauss-newton optimization
(2)
stochastic gradient descent
(1)
neuromorphic computing
(1)
policy gradient
(1)
in-context learning
(1)
local learning
(1)
catastrophic forgetting
(1)
multi-agent reinforcement learning
(1)
bayesian inference
(1)
bayesian learning
(1)
gradient estimation
(1)
Papers
Attention as a Hypernetwork
ICLR 2025
Multi-agent cooperation through learning-aware policy gradients
ICLR 2025
Discovering modular solutions that generalize compositionally
ICLR 2024
Online learning of long-range dependencies
NeurIPS 2023
Transformers Learn In-Context by Gradient Descent
ICML 2023
A contrastive rule for meta-learning
NeurIPS 2022
Minimizing Control for Credit Assignment with Strong Feedback
ICML 2022
The least-control principle for local learning at equilibrium
NeurIPS 2022
Credit Assignment in Neural Networks through Deep Feedback Control
NeurIPS 2021
Learning where to learn: Gradient sparsity in meta and continual learning
NeurIPS 2021
Neural networks with late-phase weights
ICLR 2021
Posterior Meta-Replay for Continual Learning
NeurIPS 2021
A Theoretical Framework for Target Propagation
NeurIPS 2020
Continual learning with hypernetworks
ICLR 2020
Dendritic cortical microcircuits approximate the backpropagation algorithm
NeurIPS 2018