SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3901–3950 of 14581 papers

TitleStatusHype
CRNN: A Joint Neural Network for Redundancy DetectionCode0
Decoupling "when to update" from "how to update"Code0
Deep Learning Based Large-Scale Automatic Satellite Crosswalk ClassificationCode0
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet ClassificationCode0
A Characterwise Windowed Approach to Hebrew Morphological SegmentationCode0
Cross Attention Network for Few-shot ClassificationCode0
Elastic Neural Networks for ClassificationCode0
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image ClassificationCode0
Multi-modal Cycle-consistent Generalized Zero-Shot LearningCode0
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial SettingsCode0
A U-statistic estimator for the variance of resampling-based error estimators—0
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection—0
A Universal Approximation Theorem for Mixture of Experts Models—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
Adaptive template systems: Data-driven feature selection for learning with persistence diagrams—0
A unifying approach on bias and variance analysis for classification—0
A Unified View of Multi-Label Performance Measures—0
Amrita School of Engineering - CSE at SemEval-2019 Task 6: Manipulating Attention with Temporal Convolutional Neural Network for Offense Identification and Classification—0
A unified theory of adaptive stochastic gradient descent as Bayesian filtering—0
A Morphological Analyzer for Japanese Nouns, Verbs and Adjectives—0
Adaptive Task Sampling for Meta-Learning—0
A Classification Framework for Partially Observed Dynamical Systems—0
A Unified Method for First and Third Person Action Recognition—0
A Mood-based Genre Classification of Television Content—0
A Unified Framework for Training Neural Networks—0
A Unified Framework for Shot Type Classification Based on Subject Centric Lens—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning—0
A Modified Cosine-Similarity based Log Kernel for Support Vector Machines in the Domain of Text Classification—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields—0
Online stochastic gradient descent on non-convex losses from high-dimensional inference—0
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Augmenting transferred representations for stock classification—0
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account—0
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World—0
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification—0
A Model of Double Descent for High-dimensional Binary Linear Classification—0
Adaptive Stacked Graph Filter—0
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults—0
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification—0
A Model for Evaluating Algorithmic Systems Accountability—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
Adaptive Sequential Optimization with Applications to Machine Learning—0
A Classification-Based Study of Covariate Shift in GAN Distributions—0
Augmenting BERT Carefully with Underrepresented Linguistic Features—0
Augmented Hard Example Mining for Generalizable Person Re-Identification—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
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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