AI-papers
ML/DL papers which I found useful. Lots of them.
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최종 버전 다운로드 (.zip)- (CNN + RNN) Deep Visual-Semantic Alignments for Generating Image Descriptions.pdf
- [CapsuleNet] Dynamic Routing Between Capsules - G.E. Hinton.pdf
- [FAIR] Accurate, Large Minibatch SGD - Training ImageNet in 1 hr.pdf
- [Google QuickDraw] A Neural Representation of Sketch Drawings.pdf
- A Few Useful Things to know about Machine Learning.pdf
- ADAM - A method for Stochastic Optimization.pdf
- Adversarial Examples for Semantic Segmentation and Object Detection.pdf
- AlexNet.pdf
- Atrous Convolutions - MultiScale Context Aggregation.pdf
- BatchNormalization.pdf
- Born Again Neural Networks.pdf
- CheXNet.pdf
- CNN - Yann LeCun, Bengio.pdf
- Deconvolutional networks - Zeiler.pdf
- Deep Learning for Case-based Reasoning through Prototypes - A Neural Network that Explains its Prediction.pdf
- Deep Learning using Linear Support Vector Machines.pdf
- Deep Neural Networks as Gaussian Processes.pdf
- DeepLab v1.pdf
- DeepLab v2.pdf
- Delving Deep into Rectifiers - Surpassing Human Level Performance on ImageNet Classification.pdf
- Dense and Diverse Capsule Networks.pdf
- Distilling the Knowledge in Neural Networks.pdf
- DLPaper2Code.pdf
- Dropout - Hinton and Team.pdf
- Efficient Backprop - Yann LeCun.pdf
- Eve - Improving Stochastic Gradient Descent with Feedback.pdf
- Generalizing Pooling functions in CNNs.pdf
- GRAD-CAM.pdf
- Intro to CNNs.pdf
- Learning without Forgetting.pdf
- Maxout Networks - Goodfellow, Bengio.pdf
- MaxPool - Scherer.pdf
- Nesterov Momentum - Sutskever.pdf
- No More Pesky Learning Rates - Yann LeCun.pdf
- One-Shot Imitation Learning.pdf
- One-shot Learning with Memory-Augmented Neural Networks.pdf
- Overview of Gradient Descent Optimization Algorithms.pdf
- README.md
- rprop algorithm.pdf
- SE-Net.pdf
- Siamese Neural Networks for One-shot Image Recognition.pdf
- SWISH - A self gated activation function.pdf
- Understanding CNNs with a Mathematical Model - Kuo.pdf
- Understanding the Effective Receptive Field in Deep CNNs.pdf
- Visualizing and Understanding CNNs - Rob Fergus.pdf
- Why Does Unsupervised Pre-training Help Deep Learning.pdf
- Why Regularized Auto-Encoders Learn Sparse Representation.pdf
- Xavier Glorot - Deep Sparse Rectifier Neural Networks.pdf
- Xavier initialization - Glorot, Bengio.pdf
- Zero-Shot Learning - Part I.pdf
- Zero-Shot Learning - Part II (Explanation).pdf
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