Carlos Riquelme
10 papers · 2017–2022 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Architectures
(4)
Reinforcement Learning
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Computer Vision
(2)
Core Methods
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Keywords
mixture of expert
(3)
contextual bandit
(2)
image classification
(2)
reinforcement learning
(2)
sequential decision making
(2)
zero-shot learning
(1)
model selection
(1)
representation learning
(1)
adversarial robustness
(1)
policy evaluation
(1)
contrastive learning
(1)
transfer learning
(1)
policy gradient
(1)
collaborative filtering
(1)
mutual information
(1)
vision transformer
(1)
multimodal learning
(1)
probability distribution
(1)
value function approximation
(1)
temporal difference learning
(1)
Papers
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
NeurIPS 2022
On the Adversarial Robustness of Mixture of Experts
NeurIPS 2022
Which Model To Transfer? Finding the Needle in the Growing Haystack
CVPR 2022
Scaling Vision with Sparse Mixture of Experts
NeurIPS 2021
Google Research Football: A Novel Reinforcement Learning Environment
AAAI 2020
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
NeurIPS 2019
Practical and Consistent Estimation of f-Divergences
NeurIPS 2019
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
ICLR 2018
Human Interaction with Recommendation Systems
AISTATS 2018
Active Learning for Accurate Estimation of Linear Models
ICML 2017