https://github.com/ahmad-taie/infodens
공식 코드INFODENS: An Open-source Framework for Learning Text Representations
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Algorithms trying to solve the general task of classification.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
INFODENS: An Open-source Framework for Learning Text Representations
A Generic Visualization Approach for Convolutional Neural Networks
Boosting Standard Classification Architectures Through a Ranking Regularizer
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
Tiny Transformers for Environmental Sound Classification at the Edge
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Fast Intent Classification for Spoken Language Understanding
Explaining Deep Classification of Time-Series Data with Learned Prototypes
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Lyrics-Based Music Genre Classification Using a Hierarchical Attention Network
The Cascade Transformer: an Application for Efficient Answer Sentence Selection
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
Contextual Encoder-Decoder Network for Visual Saliency Prediction
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Centroid Based Concept Learning for RGB-D Indoor Scene Classification
M2m: Imbalanced Classification via Major-to-minor Translation
MASKER: Masked Keyword Regularization for Reliable Text Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.