Nir Shavit
7 papers · 2017–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(22)
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Research topics
Keywords
convolutional neural network
(2)
variational inference
(1)
neural network optimization
(1)
graph generation
(1)
network pruning
(1)
instance segmentation
(1)
autonomous driving
(1)
generalization error
(1)
multi-object tracking
(1)
brain activity
(1)
electron microscopy
(1)
latent variable model
(1)
autoregressive model
(1)
probabilistic modeling
(1)
variational autoencoder
(1)
scaling law
(1)
sparse activation
(1)
model generalization
(1)
scene generation
(1)
model compression
(1)
Papers
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity
ICLR 2022
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
CVPR 2021
On the Predictability of Pruning Across Scales
ICML 2021
A Constructive Prediction of the Generalization Error Across Scales
ICLR 2020
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
ICML 2020
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
CVPR 2019
Deep Tensor Convolution on Multicores
ICML 2017