Pablo Sprechmann
9 papers · 2013–2024 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
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Topic Pioneer
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Keyword Pioneer
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Trend Setter
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Keyword Collector
(57)
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Conference Pioneer
🌈
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Architectures
(4)
Core AI
(4)
Core Methods
(4)
Computer Vision
(3)
Learning Types · Deep Learning
(3)
Computer Science
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Methods
(2)
Optimization
(2)
Optimization & Theory
(2)
Keywords
episodic memory
(2)
convolutional network
(2)
sparse coding
(2)
deep reinforcement learning
(2)
neural network
(2)
convex optimization
(1)
self-supervised learning
(1)
catastrophic forgetting
(1)
graph matching
(1)
brain connectivity
(1)
reinforcement learning
(1)
multimodal learning
(1)
adversarial training
(1)
value function
(1)
inverse dynamics
(1)
density estimation
(1)
state representation
(1)
functional magnetic resonance imaging
(1)
image processing
(1)
representation learning
(1)
Papers
Unlocking the Power of Representations in Long-term Novelty-based Exploration
ICLR 2024
Agent57: Outperforming the Atari Human Benchmark
ICML 2020
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Fast deep reinforcement learning using online adjustments from the past
NeurIPS 2018
Memory-based Parameter Adaptation
ICLR 2018
Accelerating Eulerian Fluid Simulation With Convolutional Networks
ICML 2017
Disentangling factors of variation in deep representation using adversarial training
NeurIPS 2016
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
NeurIPS 2013
Supervised Sparse Analysis and Synthesis Operators
NeurIPS 2013