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CS 8803-LS Review Submission
Fall 2019
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Email
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First Name
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Last Name
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GTID
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Example: 999111222
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Paper to Review
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ImageNet Classification with Deep Convolutional Neural Networks
Variational Autoencoders
Generative Adversarial Networks
BigGAN
Cycle-GAN
Context Prediction
Learning Features by Watching Objects Move
Shuffle and Learn
Look, Listen and Learn
BERT
Selfie
Deep Transfer with Joint Adaptation Networks
AutoDIAL
Domain Specific Batch Normalization
Domain-Adversarial Training of Neural Networks
Generate to Adapt
Adversarial Dropout Regularization
DIRT-T
Taskonomy
Prototypical Nets
MAML
Low-Shot Learning from Imaginary Data
Paper Summary (2-3 sentences)
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Strengths of the Paper
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Describe 2-5 strengths, each one on a separate line.
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Weaknesses of the Paper
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Describe 2-5 weaknesses, each one on a separate line.
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Reflections
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Relate this to other work, comment on future directions, or list any new ideas this work prompts.
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Most Interesting Idea of the Paper
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What is unique, interesting, or sparks ideas about this paper?
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