Itay Hubara
12 papers · 2014–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(56)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Application Areas
(8)
Artificial Intelligence
(7)
Core AI Β· Artificial Intelligence
(6)
Techniques
(6)
Optimization & Theory Β· Machine Learning
(5)
Optimization & Theory Β· Deep Learning
(4)
Core Methods
(2)
Learning Types
(2)
Computer Vision
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI Β· Computer Vision
(1)
Keywords
model compression
(6)
batch normalization
(3)
stochastic gradient descent
(2)
neural network
(2)
bitwise operation
(2)
neural network quantization
(2)
large batch training
(2)
online learning
(1)
model architecture
(1)
neural network training
(1)
posterior approximation
(1)
data-free learning
(1)
efficient inference
(1)
deep learning
(1)
knowledge distillation
(1)
integer programming
(1)
mean-field approximation
(1)
computer vision
(1)
expectation propagation
(1)
synthetic data generation
(1)
Papers
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
ICLR 2024
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
ICLR 2023
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
NeurIPS 2021
Accurate Post Training Quantization With Small Calibration Sets
ICML 2021
Augment Your Batch: Improving Generalization Through Instance Repetition
CVPR 2020
The Knowledge Within: Methods for Data-Free Model Compression
CVPR 2020
Fix your classifier: the marginal value of training the last weight layer
ICLR 2018
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
JMLR 2018
Scalable methods for 8-bit training of neural networks
NeurIPS 2018
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
NeurIPS 2017
Binarized Neural Networks
NeurIPS 2016
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
NeurIPS 2014