SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 11001–11025 of 14581 papers

TitleStatusHype
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
Halting in Random Walk Kernels—0
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification—0
HAMLET: Interpretable Human And Machine co-LEarning Technique—0
Hamming Distance Metric Learning—0
Input-independent Attention Weights Are Expressive Enough: A Study of Attention in Self-supervised Audio Transformers—0
Hand Gesture Recognition Based on Karhunen-Loeve Transform—0
Handling missing data in model-based clustering—0
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks—0
Handwritten digit and letter recognition using hybrid dwt-dct with knn and svm classifier—0
Handwritten Recognition Using SVM, KNN and Neural Network—0
Hard-Aware Fashion Attribute Classification—0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification—0
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites—0
Hardware Compliant Approximate Image Codes—0
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification—0
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks—0
Harmless label noise and informative soft-labels in supervised classification—0
Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics—0
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification—0
Hash2Vec, Feature Hashing for Word Embeddings—0
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification—0
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention—0
Hashtag Recommendation with Topical Attention-Based LSTM—0
HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified