Careful Deep Learning Thesis Review and Code Practice: Deep Learning Paper Review and Practice
- This is a repository for a meticulous deep learning paper review and code practice.
- Based on the latest papers, we introduce a variety of deep learning papers that are very popular.
- For questions, please leave it in the Issues tab of this repository.
Image Recognition (Image Recognition)
- End-to-end Object Detection with Transformers (ECCV 2020)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Searching for Mobilenetv3 (ICCV 2019)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Deep Residual Learning for Image Recognition (CVPR 2016)
- Original Paper Link / Paper Review Video / Summary PDF / Mnist / Cifar-10 / Imagenet
- Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization (ICCV 2017)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Image Style Transfer Using Convolutional Neural Networks (CVPR 2016)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Faster R-CNN: Towards Real-Time Object Detection With Region Proposal Networks (NIPS 2015)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
Natural Language Processing (Natural Language Processing)
- Single Headed Attation RNN: Stop Thinking with Your Head (2020)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- BERT: Pre-Training of Deep Bidirectional Transformers for Language Undertanding (Naacl 2019)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Attention is all you need (NIPS 2017)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- NEURAL MACHINE Translation by Jointly Learning to Align and Translate (ICLR 2015 Oral)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Show and Tell: A Neural Image Caption Generator (CVPR 2015)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Sequence to Sequence Learning with Neural Networks (NIPS 2014)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
Generate Model & Super Resolution
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR 2020)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Singan: Learning a Generate Model from a single Natural Image (ICCV 2019)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- A Style-Based Generator Architecture for Generate Adversarial Networks (CVPR 2019)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Stargan: Unified Generate Networks for Multi-Domain Image-TO-EMAGE Translation (CVPR 2018 Oral)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Image-to-IMAGE Translation with Conditional Adversarial Networks (CVPR 2017)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- General Nets (NIPS 2014)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
Modeling & Optimization (modeling & optimization)
- BAG of Tricks for Image Classification (CVPR 2019)
- Original Paper Link / Paper Review Video / Summary PDF
- Cifar-10 / Cifar-10 with Label Smoothing / Cifar-10 with Input Mixup / Cifar-10 with Label Smoothing and Input Mixup
- Deep Compression: Compression Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding (iclr 2016 Oral)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Batch Normalization: Accelerating Deep Network Training by Reducing International Covariate Shift (PMLR 2015)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
Adversarial Examples & Backdoor Attacks (hostile example & backdoor attack)
- HOPSKIPJUMPATTACK: A Query-EFFICIANT DECISION-Based Attack (S & P 2020)
- Original Paper Link / Paper Review Video / Summary PDF / Targeted Attack / Untargeted Attack
- Breaking Certified Defensees: Semantic Adversarial Examples with Spoofed Robustness Certifices (iclr 2020)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Sign-Opt: A Query-EFFICIENT HARD-LABEL ADVERSARIAL ATTACK (ICLR 2020)
- Original Paper Link / Paper Review Video / Summary PDF / MNIST / CIFAR-10
- Is Bert Realy Robust? A Strong Baseline for Natural Language Attack on text Classification and Entailment (AAAI 2020 Oral)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
- Query-EFFICIENT HARD-LABEL BLACK-BOX ATTACK: An optimization-based Approach (ICLR 2019)
- Original Paper Link / Paper Review Video / Summary PDF / MNIST / CIFAR-10
- Boosting Adversarial Attacks with Momentum (CVPR 2018 Spotlight)
- Original Paper Link / Paper Review Video / Summary PDF / Cifar-10 / Imagenet
- Poison Frogs! Targeted Clean-Label Poisoning Attacks On Neural Networks (NIPS 2018)
- Original Paper Link / Paper Review Video / Summary PDF / Resnet / Alexnet
- Decision-Based Adversarial Attacks: Reliable Attacks Against BLACK-BOX MACHINE Learning Models (ICLR 2018)
- Original Paper Link / Paper Review Video / Summary PDF / Code Practice
Last Thesis Review Content
- Explaining and Harnessing Adversarial Examples (ICLR 2015)
- Original Paper Link / Paper Review Video
- Towards Evaluating the Robustness of Neural Networks (S & P 2017)
- Original Paper Link / Paper Review Video
- Towards Deep Learning Models Resistant to Adversarial Attacks (ICLR 2018)
- Original Paper Link / Paper Review Video
- Adversarial Examples Are Not Bugs, The Arre Features (NIPS 2019)
- Original Paper Link / Paper Review Video
- Certified Robustness to Adversarial Examples with Differential Privacy (S & P 2019)
- Original Paper Link / Paper Review Video
- Obfuscated Gradients Gives a False Sense of Security (ICML 2018)
- Original Paper Link / Paper Review Video
- Constructing Unricted Adversarial Examples with Generate Models (NIPS 2018)
- Original Paper Link / Paper Review Video
- Adversarial Patch (NIPS 2018)
- Original Paper Link / Paper Review Video
