https://github.com/uva-nlp/flat
공식 코드Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Papers with Code 아카이브
Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 24
- 평가표
- 72
- 보존된 평가 기록
- 134
Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uwm-bigdata/multi-modal-wound-classification-using-images-and-locations
공식 코드Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
https://github.com/uwm-bigdata/wound_classification
공식 코드Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
https://github.com/uzh-rpg/rpg_event_representation_learning
공식 코드End-to-End Learning of Representations for Asynchronous Event-Based Data
https://github.com/v-andrearczyk/caffe-TCNN
공식 코드Using Filter Banks in Convolutional Neural Networks for Texture Classification
https://github.com/vadel/acpd
공식 코드Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
https://github.com/vadis-project/sv-ident
공식 코드https://github.com/vadis-project/user-tests
공식 코드VADIS -- a VAriable Detection, Interlinking and Summarization system
https://github.com/valdersoul/bn-vae
공식 코드A Batch Normalized Inference Network Keeps the KL Vanishing Away
https://github.com/valeoai/3DGenZ
공식 코드Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
https://github.com/valuesimplex/flitext
공식 코드FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks
https://github.com/vanzytay/cikm_cup
공식 코드https://github.com/varadhbhatnagar/Hostile-Post-Detection-in-Hindi
공식 코드Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
https://github.com/varsha33/lcl_loss
공식 코드Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
https://github.com/vaynexie/cwox
공식 코드Two-Stage Holistic and Contrastive Explanation of Image Classification
https://github.com/vbeliveau/radiology-text-classification
공식 코드Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language
https://github.com/vcbsl-fairness/fineface
공식 코드FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
https://github.com/vcheplygina/cats-scans
공식 코드https://github.com/veason-silverbullet/vitlp
공식 코드Visually Guided Generative Text-Layout Pre-training for Document Intelligence
https://github.com/vedranaa/InSegt
공식 코드Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
https://github.com/vengdeng/fcro
공식 코드https://github.com/venomouscyanide/s3grl
공식 코드Simplifying Subgraph Representation Learning for Scalable Link Prediction
https://github.com/venomouscyanide/s3grl_ogb
공식 코드Simplifying Subgraph Representation Learning for Scalable Link Prediction
https://github.com/ventr1c/ugba
공식 코드https://github.com/vered1986/LexNET
공식 코드https://github.com/verivital/nnv
공식 코드Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach
https://github.com/vermaMachineLearning/Graph-Capsule-CNN-Networks
공식 코드https://github.com/vgupta123/SCDV-MS
공식 코드Improving Document Classification with Multi-Sense Embeddings
https://github.com/vicentvankor/sun-shine
공식 코드https://github.com/victorchen96/renode
공식 코드Topology-Imbalance Learning for Semi-Supervised Node Classification
https://github.com/victorychain/Adversarial-Policy-Gradient-Augmentation
공식 코드Adversarial Policy Gradient for Deep Learning Image Augmentation
https://github.com/victorzxy/graphac
공식 코드Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
https://github.com/vietnlp/vlsp2019_hatespeech_task
공식 코드HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
https://github.com/vijay4313/proxemo
공식 코드https://github.com/vijaydwivedi75/lrgb
공식 코드https://github.com/vijayiitkgp/textue_ensemble_framework
공식 코드Texture Extraction Methods Based Ensembling Framework for Improved Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.