Raia Hadsell
27 papers · 2007–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Keyword Pioneer
π
Grand Slam
π
Keyword Trendsetter Combo
(4)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(123)
Top co-authors
Research topics
Machine Learning
(18)
Reinforcement Learning
(15)
Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(12)
Deep Learning
(11)
Core AI
(11)
Applications
(9)
Core Methods
(7)
Methods
(7)
Robotics
(6)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Capabilities
(5)
Learning Paradigms
(5)
Application Areas
(4)
Keywords
reinforcement learning
(10)
deep reinforcement learning
(6)
sim-to-real transfer
(3)
imitation learning
(3)
continual learning
(3)
transfer learning
(3)
representation learning
(3)
domain randomization
(3)
robotic manipulation
(3)
graph algorithm
(2)
few-shot learning
(2)
gradient descent
(2)
tactile sensing
(2)
algorithmic reasoning
(2)
visual navigation
(2)
policy learning
(2)
image translation
(2)
self-supervised learning
(2)
knowledge distillation
(2)
street view
(2)
Papers
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
CVPR 2026
Hindering Adversarial Attacks with Implicit Neural Representations
ICML 2022
Learning transferable motor skills with hierarchical latent mixture policies
ICLR 2022
The CLRS Algorithmic Reasoning Benchmark
ICML 2022
A Constrained Multi-Objective Reinforcement Learning Framework
CoRL 2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
CoRL 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
CoRL 2021
A distributional view on multi-objective policy optimization
ICML 2020
Attention-Privileged Reinforcement Learning
CoRL 2020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
ICML 2020
Learning rich touch representations through cross-modal self-supervision
CoRL 2020
Learning to Follow Directions in Street View
AAAI 2020
Meta-Learning with Warped Gradient Descent
ICLR 2020
Neural Execution of Graph Algorithms
ICLR 2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
CoRL 2020
Stabilizing Transformers for Reinforcement Learning
ICML 2020
Continual Unsupervised Representation Learning
NeurIPS 2019
Meta-Learning with Latent Embedding Optimization
ICLR 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Graph Networks as Learnable Physics Engines for Inference and Control
ICML 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
CoRL 2018
Learning to Navigate in Cities Without a Map
NeurIPS 2018
Progress & Compress: A scalable framework for continual learning
ICML 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
RSS 2018
Distral: Robust multitask reinforcement learning
NeurIPS 2017
Sim-to-Real Robot Learning from Pixels with Progressive Nets
CoRL 2017
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability
RSS 2007