General Classification
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Algorithms trying to solve the general task of classification.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SarangShaikh201/fastText
https://github.com/SarthakYadav/audax
https://github.com/SarthakYadav/leaf-pytorch
https://github.com/SasCezar/XWikiRE
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
https://github.com/Saswati08/Triplet-Networks-with-GANs
https://github.com/Scallions/ClassSR_paddle
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
https://github.com/Sdhir/deepCIN
Feature based Sequential Classifier with Attention Mechanism
https://github.com/Sean-Bin-Yang/Path-InfoMax
https://github.com/SebKleiner/Hateful_Memes
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
https://github.com/SeldonIO/alibi
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
https://github.com/Sense-X/TSD
https://github.com/SenticNet/CASCADE--ContextuAl-SarCAsm-DEtector
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
https://github.com/SeonbeomKim/TensorFlow-TextCNN
https://github.com/SeonghoBaek/CPC
Data-Efficient Image Recognition with Contrastive Predictive Coding
https://github.com/SeonghoBaek/FrameSequencePrediction
Data-Efficient Image Recognition with Contrastive Predictive Coding
https://github.com/SeoroMin/transformer_pytorch
https://github.com/SeoroMin/transformer_pytorch_ver2
https://github.com/SergioVillarruel/FruitDetector3D
Food Image Recognition by Using Convolutional Neural Networks (CNNs)
https://github.com/Seth-Park/MultimodalExplanations
https://github.com/SforAiDl/vformer
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
https://github.com/ShaharrHorn/Detection-Game-logic
https://github.com/ShahinSHH/COVID-FACT
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ShahryarBQ/qFool
https://github.com/Shantanu48114860/Handwritten-Character-Recognition
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
https://github.com/Shantanu48114860/MTL-TCNN3
Using Filter Banks in Convolutional Neural Networks for Texture Classification
https://github.com/SharadGitHub/Self-Supervised-Autoencoder
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://github.com/Sharda-Borse/AutoEncoders
https://github.com/Sharpiless/Point-Transformer-Pytorch
https://github.com/Sharron4me/EMNIST-Prediction-Model
https://github.com/Shaul1321/nullspace_projection
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
https://github.com/Shawn1993/cnn-text-classification-pytorch
https://github.com/ShawnNew/shape-alpha-matting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ShawonAshraf/nlu-jointbert-dl2021
https://github.com/Sheldonmao/290texture
https://github.com/ShiQiu0419/GFNet
Geometric Back-projection Network for Point Cloud Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.