Itay Hubara
12 papers · 2014–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (10) π§ Keyword Pioneer
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Conference Polyglot
(5)
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Academic Marathon
(10)
π€
Dynamic Duo
(12)
π
Conference Pioneer
π
Century Club
(12)
π
Trend Setter
Conferences
NIPS (5)
ICLR (3)
CVPR (2)
ICML (1)
JMLR (1)
Top co-authors
Keywords
model compression
(5)
batch normalization
(3)
bitwise operation
(2)
stochastic gradient descent
(2)
neural network quantization
(2)
online learning
(1)
efficient inference
(1)
neural network training
(1)
binary weight
(1)
data-free learning
(1)
knowledge distillation
(1)
deep learning
(1)
synthetic data generation
(1)
expectation propagation
(1)
posterior approximation
(1)
integer programming
(1)
multilayer neural networks
(1)
generalization gap
(1)
computer vision
(1)
post-training quantization
(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
Accurate Post Training Quantization With Small Calibration Sets
ICML 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
NIPS 2021
The Knowledge Within: Methods for Data-Free Model Compression
CVPR 2020
Augment Your Batch: Improving Generalization Through Instance Repetition
CVPR 2020
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
JMLR 2018
Scalable methods for 8-bit training of neural networks
NIPS 2018
Fix your classifier: the marginal value of training the last weight layer
ICLR 2018
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
NIPS 2017
Binarized Neural Networks
NIPS 2016
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
NIPS 2014