SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6451–6500 of 14581 papers

TitleStatusHype
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm—0
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter—0
What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?—0
What Does a TextCNN Learn?—0
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks—0
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling—0
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)—0
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images—0
What Makes for Good Views for Contrastive Learning?—0
What makes us laugh? Investigations into Automatic Humor Classification—0
What matters in a transferable neural network model for relation classification in the biomedical domain?—0
Why Do Better Loss Functions Lead to Less Transferable Features?—0
What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models—0
What's in my closet?: Image classification using fuzzy logic—0
What Speakers really Mean when they Ask Questions: Classification of Intentions with a Supervised Approach—0
What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields—0
What Will I Do Next? The Intention from Motion Experiment—0
What you can cram into a single \$\&!\#* vector: Probing sentence embeddings for linguistic properties—0
What your Facebook Profile Picture Reveals about your Personality—0
When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP—0
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?—0
When does deep multi-task learning work for loosely related document classification tasks?—0
When does Diversity Help Generalization in Classification Ensembles?—0
When Does Stochastic Gradient Algorithm Work Well?—0
When is Early Classification of Time Series Meaningful?—0
When is the majority-vote classifier beneficial?—0
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time—0
When VLAD met Hilbert—0
Where Classification Fails, Interpretation Rises—0
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users—0
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication—0
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification—0
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
White blood cell classification—0
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks—0
Who framed Roger Reindeer? De-censorship of Facebook posts by snippet classification—0
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification—0
Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments—0
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features—0
Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study—0
Who wants accurate models? Arguing for a different metrics to take classification models seriously—0
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification—0
Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification—0
Why is the Mahalanobis Distance Effective for Anomaly Detection?—0
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification—0
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users—0
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations—0
Wide and deep volumetric residual networks for volumetric image classification—0
Wield: Systematic Reinforcement Learning With Progressive Randomization—0
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees—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