Nathan Silberman
7 papers · 2009–2020 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver
π±
Topic Pioneer
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Core AI
(1)
Domain-Specific
(1)
Generation
(1)
Optimization
(1)
Keywords
convolutional neural network
(2)
domain adaptation
(2)
unsupervised learning
(2)
feature learning
(1)
binary classification
(1)
maximum entropy
(1)
convex optimization
(1)
noisy label learning
(1)
model evaluation
(1)
multi-label classification
(1)
distributed learning
(1)
image reconstruction
(1)
image translation
(1)
ensemble training
(1)
label noise
(1)
gradient descent
(1)
source domain
(1)
distributed training
(1)
maximum entropy models
(1)
parameter mixtures
(1)
Papers
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
ICLR 2020
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
CVPR 2019
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations
ECCV 2018
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks
CVPR 2017
Domain Separation Networks
NeurIPS 2016
Im2Calories: Towards an Automated Mobile Vision Food Diary
ICCV 2015
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
NeurIPS 2009