Repository files navigation 꼼꼼한 딥러닝 논문 리뷰와 코드 실습: Deep Learning Paper Review and Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습을 위한 저장소입니다.
최신 논문 위주로, 많은 인기를 끌고 있는 다양한 딥러닝 논문을 소개합니다.
질문 사항은 본 저장소의 이슈(Issues)
Image Recognition (이미지 인식)
End-to-End Object Detection with Transformers (ECCV 2020)
Searching for MobileNetV3 (ICCV 2019)
Deep Residual Learning for Image Recognition (CVPR 2016)
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization (ICCV 2017)
Image Style Transfer Using Convolutional Neural Networks (CVPR 2016)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (NIPS 2015)
Natural Language Processing (자연어 처리)
Single Headed Attention RNN: Stop Thinking With Your Head (2020)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (NAACL 2019)
Attention is All You Need (NIPS 2017)
Neural Machine Translation by Jointly Learning to Align and Translate (ICLR 2015 Oral)
Show and Tell: A Neural Image Caption Generator (CVPR 2015)
Sequence to Sequence Learning with Neural Networks (NIPS 2014)
Generative Model & Super Resolution (생성 모델 & 해상도 복원)
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR 2020)
SinGAN: Learning a Generative Model from a Single Natural Image (ICCV 2019)
A Style-Based Generator Architecture for Generative Adversarial Networks (CVPR 2019)
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation (CVPR 2018 Oral)
Image-to-Image Translation with Conditional Adversarial Networks (CVPR 2017)
Generative Adversarial Nets (NIPS 2014)
Modeling & Optimization (모델링 & 최적화)
Bag of Tricks for Image Classification (CVPR 2019)
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding (ICLR 2016 Oral)
Batch normalization: Accelerating deep network training by reducing internal covariate shift (PMLR 2015)
Adversarial Examples & Backdoor Attacks (적대적 예제 & 백도어 공격)
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack (S&P 2020)
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates (ICLR 2020)
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack (ICLR 2020)
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment (AAAI 2020 Oral)
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach (ICLR 2019)
Boosting Adversarial Attacks with Momentum (CVPR 2018 Spotlight)
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks (NIPS 2018)
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models (ICLR 2018)
Explaining and Harnessing Adversarial Examples (ICLR 2015)
Towards Evaluating the Robustness of Neural Networks (S&P 2017)
Towards Deep Learning Models Resistant to Adversarial Attacks (ICLR 2018)
Adversarial Examples Are Not Bugs, They Are Features (NIPS 2019)
Certified Robustness to Adversarial Examples with Differential Privacy (S&P 2019)
Obfuscated Gradients Give a False Sense of Security (ICML 2018)
Constructing Unrestricted Adversarial Examples with Generative Models (NIPS 2018)
Adversarial Patch (NIPS 2018)
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