Nathan Silberman
7 papers · 2009–2020 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (9)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(9)
🔥
Unstoppable
(6)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
CVPR (2)
NIPS (2)
ECCV (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
convolutional neural network
(2)
domain adaptation
(2)
unsupervised learning
(2)
feature learning
(1)
maximum entropy
(1)
convex optimization
(1)
noisy label learning
(1)
multi-label classification
(1)
distributed learning
(1)
image reconstruction
(1)
image translation
(1)
ensemble training
(1)
gradient descent
(1)
source domain
(1)
distributed training
(1)
maximum entropy models
(1)
parameter mixtures
(1)
gradient computation
(1)
ensemble method
(1)
generative adversarial network
(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
NIPS 2016
Im2Calories: Towards an Automated Mobile Vision Food Diary
ICCV 2015
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
NIPS 2009