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A list of papers on every AI topic. And hand-craft implementation of data science, machine learning and deep learning.

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Table of Contents




Image Classification

Year Name Paper Code
1998 LeNet: Gradient-based learning applied to document recognition PDF Colab
2012 AlexNet: ImageNet Classification with Deep Convolutional Neural Networks PDF Colab
2014 VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition PDF Kaggle GitHub
2015 GoogLeNet: Going Deeper with Convolutions PDF Kaggle GitHub
2016 ResNet: Deep Residual Learning for Image Recognition PDF Kaggle GitHub
2017 SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size PDF Kaggle GitHub
2017 DenseNet: Densely Connected Convolutional Networks PDF Kaggle GitHub
2017 XceptionNet: Deep Learning with Depthwise Separable Convolutions PDF Kaggle GitHub
2018 MobileNetV1: Efficient Convolutional Neural Networks for Mobile Vision Application PDF Kaggle GitHub
2018 ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices PDF Kaggle GitHub
2018 MobileNetV2: Inverted Residuals and Linear Bottlenecks PDF Kaggle GitHub
2018 NASNet: Learning Transferable Architectures for Scalable Image Recognition PDF Kaggle GitHub
2018 Squeeze Excitation Network: Squeeze-and-Excitation Networks PDF Kaggle GitHub
2018 Residual Attention Network: Residual Attention Network for Image Classification PDF Kaggle GitHub
2019 CBAM: Convolutional Block Attention Module PDF Kaggle GitHub
2019 MobileNetV3: Searching for MobileNetV3 PDF GitHub
2020 RegeNet: Designing Network Design Spaces PDF GitHub
2021 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks PDF Kaggle GitHub
2021 Vision Transformer: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale PDF Kaggle GitHub
2021 DeiT: Training data-efficient image transformers & distillation through attention PDF GitHub
2021 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows PDF Kaggle GitHub
2012 Pyramid vision transformer: A versatile backbone for dense prediction without convolutions PDF GitHub
2022 ConvNeXt: A ConvNet for the 2020s PDF Kaggle GitHub
2023 ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders PDF GitHub


Action Classification

Year Name Paper Code
2018 Non-local Neural Networks PDF GitHub


Object Detection

Year Name Paper Code
2013 R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation PDF GitHub
2015 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks PDF Kaggle GitHub
2016 OHEM: Training Region-based Object Detectors with Online Hard Example Mining PDF GitHub
2016 YOLOv1: You Only Look Once: Unified, Real-Time Object Detection PDF Kaggle GitHub
2016 SSD(Single Shot Detection): Single Shot MultiBox Detector PDF Kaggle GitHub
2017 FPN(Feature Pyramids Network): Feature Pyramid Networks for Object Detection PDF GitHub
2017 RetinaNet: Focal loss for dense object detection PDF Kaggle GitHub
2017 Mask-RCNN: Mask R-CNN PDF Kaggle GitHub
2018 YOLOv3: An Incremental Improvement PDF Kaggle GitHub
2018 RefineDet: Single-Shot Refinement Neural Network for Object Detection PDF GitHub
2018 M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network PDF GitHub
2019 Mask scoring r-cnn PDF GitHub
2019 FSFA: Feature selective anchor-free module for single-shot object detection PDF GitHub
2019 Scratchdet: Exploring to train single-shot object detectors from scratch PDF GitHub


Image Segmentation

Segmantic Segmentation

Medical(2D, 3D image)
Year Name Paper Code
2015 U-Net: Convolutional Networks for Biomedical Image Segmentation PDF GitHub
2021 TransUnet: Transformers make Strong Encoders for Medical Image Segmentation PDF GitHub
2021 Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation PDF GitHub
2021 UNETR: Transformers for 3D Medical Image Segmentation PDF GitHub
2023 Medical Image Segmentation via Cascaded Attetnion Decoding PDF GitHub


Image Super Resolution

Year Name Paper Code
2014 SRCNN: Image Super-Resolution Using Deep Convolutional Networks PDF GitHub
2016 Pixel Shuffle: Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network PDF GitHub
2017 Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial PDF GitHub


Face Recognition

Year Name Paper Code
2015 FaceNet: A Unified Embedding for Face Recognition and Clustering PDF GitHub
2018 SphereFace: Deep Hypersphere Embedding for Face Recognition PDF GitHub
2018 CosFace: Large Margin Cosine Loss for Deep Face Recognition PDF GitHub
2018 ArcFace: Additive Angular Margin Loss for Deep Face Recognition PDF GitHub


3D Reconstruction

Year Name Paper Code
2020 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis PDF GitHub


Diffusion

Year Name Paper Code
2020 Denoising Diffusion Probabilistic Models PDF GitHub


Meta Learning

Metric-based Learning

Year Name Paper Code
2015 SiameseNet: Siamese Neural Networks for One-shot Image Recognition PDF GitHub
2016 MatchingNet: Matching Networks for One Shot Learning PDF GitHub
2017 ProtoNet : Prototypical Networks for Few-shot Learning PDF GitHub
2017 RelationNet : Learning to Compare: Relation Network for Few-Shot Learning PDF GitHub

Model-based Learning

Year Name Paper Code
2016 One-shot Learning with Memory-Augmented Neural Networks PDF GitHub
2017 Meta Networks PDF GitHub


Domain Generalization

Computer Vision

Year Name Paper Code
2021 Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification PDF GitHub


Semi Supervised Learning

Computer Vision

Year Name Paper Code
2020 Noisy Student: Self-training with Noisy Student improves ImageNet classification PDF GitHub
2021 Meta Pseudo Labels PDF GitHub


Data Augmentation

Computer Vision

Year Name Paper Code
2018 Mixup: Beyond Empirical Risk Minimization PDF GitHub
2019 Cutmix: Regularization Strategy to Train Strong Classifiers with Localizable Features PDF GitHub
2019 AutoAugment: Learning Augmentation Strategies from Data PDF -
2019 RandAugment: Practical automated data augmentation with a reduced search space PDF -


Natural Language Processing

Year Name Paper Code
2013 CBoW & skip-gram: Efficient Estimation of Word Representations in Vector Space PDF GitHub
2017 Transformer: Attention Is All You Need PDF GitHub


Computer System for AI

Year Name Paper Code
2016 Perceptron Learning for Reuse Prediction PDF
2018 The Case for Learned Index Structures PDF
2019 Improving Parallelism of Breadth First Search (BFS) Algorithm for Accelerated Performance on GPUs PDF
2020 An Imitation Learning Approach for Cache Replacement PDF
2020 ALEX: An Updatable Adaptive Learned Index PDF
2021 FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks PDF
2023 EnvPipe: Performance-preserving DNN Training Framework for Saving Energy PDF
2023 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning PDF


Util

Year Name Paper Code
2017 Temperature Scaling: On Calibration of Modern Neural Networks PDF GitHub
2020 Label Smoothing: When Does Label Smoothing Help PDF -

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