Carlos Fernandez-Granda
18 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11)
🏃
Academic Marathon
(12)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(11)
🔥
Unstoppable
(7)
💎
Century Club
(18)
🚀
Conference Pioneer
🗃️
Keyword Collector
(84)
Conferences
NIPS (6)
ICML (3)
CVPR (2)
ICCV (2)
ICLR (2)
MIDL (2)
MLHC (1)
Top co-authors
Keywords
semantic segmentation
(3)
convolutional neural network
(3)
uncertainty quantification
(2)
electron microscopy
(2)
pseudo label
(2)
self-supervised learning
(2)
time series analysis
(2)
early learning
(2)
semi-supervised learning
(1)
epistemic uncertainty
(1)
representation learning
(1)
convex optimization
(1)
weakly supervised learning
(1)
batch normalization
(1)
contrastive learning
(1)
deep learning
(1)
medical image segmentation
(1)
image restoration
(1)
group sparsity
(1)
supervised contrastive learning
(1)
Papers
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
ICML 2025
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NIPS 2024
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
ICML 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
CVPR 2023
Avoiding spurious correlations via logit correction
ICLR 2023
Deep Probability Estimation
ICML 2022
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification
NIPS 2022
Adaptive Early-Learning Correction for Segmentation From Noisy Annotations
CVPR 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
MIDL 2022
Unsupervised Deep Video Denoising
ICCV 2021
Adaptive Denoising via GainTuning
NIPS 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NIPS 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
MIDL 2021
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
MLHC 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
NIPS 2020
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks
ICLR 2020
Data-driven Estimation of Sinusoid Frequencies
NIPS 2019
Super-resolution via Transform-Invariant Group-Sparse Regularization
ICCV 2013