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בקטגוריית סקירות

Deep Learning Machine Learning MDLI אירועים כללי לימודים וקריירה משרות סקירות פודקאסט

סידור לפי:

Teaching with Commentaries (סקירה)

כללי

Teaching with Commentaries (סקירה)

מיכאל ארליכסון, 04/03/2021

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation (סקירה)

Deep Learning

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation (סקירה)

מיכאל ארליכסון, 18/05/2021

GraphVid: It Only Takes a Few Nodes to Understand a Video, סקירה

Deep Learning

GraphVid: It Only Takes a Few Nodes to Understand a Video, סקירה

מיכאל ארליכסון, 26/01/2023

You Better Look Twice: a new perspective for designing accurate detectors with reduced computations (סקירה)

Deep Learning

You Better Look Twice: a new perspective for designing accurate detectors with reduced computations (סקירה)

אברהם רביב, 29/10/2021

Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection: סקירה

Deep Learning

Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection: סקירה

מיכאל ארליכסון, 18/02/2023

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation (סקירה)

Deep Learning

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation (סקירה)

מיכאל ארליכסון, 09/06/2021

Neuron Shapley: Discovering the Responsible Neurons (סקירה)

Deep Learning

Neuron Shapley: Discovering the Responsible Neurons (סקירה)

מיכאל ארליכסון, 03/06/2021

INFOBERT: Improving Robustness of Language Models from an Information Theoretic Perspective (סקירה)

Deep Learning

INFOBERT: Improving Robustness of Language Models from an Information Theoretic Perspective (סקירה)

מיכאל ארליכסון, 14/06/2021

VAEBM: A symbiosis between auto-encoders and energy-based models (סקירה)

Deep Learning

VAEBM: A symbiosis between auto-encoders and energy-based models (סקירה)

מיכאל ארליכסון, 12/05/2021

Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks (סקירה)

Deep Learning

Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks (סקירה)

מיכאל ארליכסון, 24/06/2021