Allan Raventós
6 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(30)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Keywords
autonomous driving
(2)
feature learning
(1)
hierarchical learning
(1)
imitation learning
(1)
variational inference
(1)
bayesian inference
(1)
self-attention mechanism
(1)
parameter estimation
(1)
object detection
(1)
self-supervised learning
(1)
in-context learning
(1)
sample complexity
(1)
semantic segmentation
(1)
monocular depth estimation
(1)
policy learning
(1)
instance segmentation
(1)
hierarchical reinforcement learning
(1)
sequential monte carlo
(1)
gradient descent
(1)
reinforcement learning
(1)
Papers
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
NeurIPS 2024
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
NeurIPS 2023
SIXO: Smoothing Inference with Twisted Objectives
NeurIPS 2022
3D Packing for Self-Supervised Monocular Depth Estimation
CVPR 2020
Real-Time Panoptic Segmentation From Dense Detections
CVPR 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020