Carlos Fernandez-Granda
18 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(16)
Deep Learning
(12)
Computer Vision
(9)
Learning Types Β· Machine Learning
(8)
Core Methods
(7)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Techniques
(5)
Domain-Specific
(4)
Optimization & Theory
(4)
Processing
(4)
Data Science & Analytics
(3)
Analysis
(3)
Artificial Intelligence
(2)
Applications
(2)
Keywords
convolutional neural network
(4)
semantic segmentation
(3)
uncertainty quantification
(2)
time series analysis
(2)
electron microscopy
(2)
self-supervised learning
(2)
pseudo label
(2)
early learning
(2)
weakly supervised learning
(2)
image denoising
(2)
epistemic uncertainty
(1)
contrastive learning
(1)
active learning
(1)
convex optimization
(1)
image restoration
(1)
image classification
(1)
medical image segmentation
(1)
supervised contrastive learning
(1)
deep learning
(1)
action recognition
(1)
Papers
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
ICML 2025
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NeurIPS 2024
Avoiding spurious correlations via logit correction
ICLR 2023
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
ICML 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
CVPR 2023
Adaptive Early-Learning Correction for Segmentation From Noisy Annotations
CVPR 2022
Deep Probability Estimation
ICML 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
MIDL 2022
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification
NeurIPS 2022
Adaptive Denoising via GainTuning
NeurIPS 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NeurIPS 2021
Unsupervised Deep Video Denoising
ICCV 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
MIDL 2021
Early-Learning Regularization Prevents Memorization of Noisy Labels
NeurIPS 2020
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks
ICLR 2020
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
MLHC 2020
Data-driven Estimation of Sinusoid Frequencies
NeurIPS 2019
Super-resolution via Transform-Invariant Group-Sparse Regularization
ICCV 2013