Pedro Savarese
9 papers · 2019–2023 · 4 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Bronze 🏆 Keyword Champion (2)
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Machine Learning
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Deep Learning
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Keywords
neural network
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image classification
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learning rate adaptation
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model compression
(1)
neural network pruning
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representation learning
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neural network compression
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efficient computing
(1)
stochastic gradient descent
(1)
semantic segmentation
(1)
image segmentation
(1)
few-shot learning
(1)
online learning
(1)
matrix factorization
(1)
neural architecture search
(1)
function approximation
(1)
lottery ticket hypothesis
(1)
function space
(1)
reproducing kernel hilbert space
(1)
unsupervised learning
(1)
Papers
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation
NeurIPS 2023
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise
NeurIPS 2022
Domain-Independent Dominance of Adaptive Methods
CVPR 2021
Information-Theoretic Segmentation by Inpainting Error Maximization
CVPR 2021
Online Meta-Learning via Learning with Layer-Distributed Memory
NeurIPS 2021
Kernel and Rich Regimes in Overparametrized Models
COLT 2020
Winning the Lottery with Continuous Sparsification
NeurIPS 2020
How do infinite width bounded norm networks look in function space?
COLT 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing
ICLR 2019