Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Datasets
Greatest papers with code
SentEval: An Evaluation Toolkit for Universal Sentence Representations
LREC 2018
• facebookresearch/InferSent
• 
We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations.
Enhanced Network Embedding with Text Information
TENE learns the representations of nodes under the guidance of both proximity matrix which captures the network structure and text cluster membership matrix derived from clustering for text information.
MULTI-CLASS CLASSIFICATION NETWORK EMBEDDING NODE CLASSIFICATION
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
It is not straightforward to integrate the content of each node in the current state-of-the-art network embedding methods.
MULTI-CLASS CLASSIFICATION NETWORK EMBEDDING NODE CLUSTERING
Network Representation Learning with Rich Text Information
Representation learning has shown its effectiveness in many tasks such as image classification and text mining.
IMAGE CLASSIFICATION MULTI-CLASS CLASSIFICATION NETWORK EMBEDDING NODE CLASSIFICATION
CSTR: A Classification Perspective on Scene Text Recognition
Based on the image classification perspective, a scene text recognition model is proposed, which is named as CSTR.
IMAGE CLASSIFICATION MULTI-CLASS CLASSIFICATION SCENE TEXT SCENE TEXT RECOGNITION
Multi-class Classification without Multi-class Labels
ICLR 2019
• GT-RIPL/L2C
•
This work presents a new strategy for multi-class classification that requires no class-specific labels, but instead leverages pairwise similarity between examples, which is a weaker form of annotation.
HDLTex: Hierarchical Deep Learning for Text Classification
• kk7nc/HDLTex
• 
This is because along with this growth in the number of documents has come an increase in the number of categories.
Ranked #1 on
Document Classification
on WOS-46985
Multimodal Speech Emotion Recognition and Ambiguity Resolution
• Demfier/multimodal-speech-emotion-recognition
•
In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.
Ranked #2 on
Speech Emotion Recognition
on IEMOCAP
FEATURE ENGINEERING MULTI-CLASS CLASSIFICATION MULTIMODAL EMOTION RECOGNITION SPEECH EMOTION RECOGNITION
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
NeurIPS 2019
• IssamLaradji/sls
•
To improve the proposed methods' practical performance, we give heuristics to use larger step-sizes and acceleration.
SOL: A Library for Scalable Online Learning Algorithms
SOL is an open-source library for scalable online learning algorithms, and is particularly suitable for learning with high-dimensional data.