Multi-class Classification

229 papers with code • 5 benchmarks • 12 datasets

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Use these libraries to find Multi-class Classification models and implementations

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention

LorenzoBini4/GNN-HemaGraph 28 Feb 2024

To the best of our knowledge, this is the first effort to use GATs, and Graph Neural Networks (GNNs) in general, to classify cell populations from single-cell flow cytometry data.

0
28 Feb 2024

Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study

flowfrontiers/cyberml-dataquality 30 Jan 2024

In this study, we address the prevalent issue of data integrity in network traffic datasets, which are instrumental in developing machine learning (ML) models for anomaly detection.

0
30 Jan 2024

Enumerating the k-fold configurations in multi-class classification problems

falsenegativelab/mlscorecheck 24 Jan 2024

K-fold cross-validation is a widely used tool for assessing classifier performance.

11
24 Jan 2024

Safe reinforcement learning in uncertain contexts

baumanndominik/cme_based_classification_bounds 11 Jan 2024

In this work, we drop this assumption and show how we can perform safe learning when we cannot directly measure the context variables.

1
11 Jan 2024

Distance Guided Generative Adversarial Network for Explainable Binary Classifications

yxiangxiong/disgan 29 Dec 2023

Experimental results show that DisGAN consistently outperforms the GAN-based augmentation methods with explainable binary classification.

0
29 Dec 2023

NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images

nvtien457/nearbypatchcl 12 Dec 2023

In addressing the demands of this critical task, self-supervised learning (SSL) methods have emerged as a valuable resource, leveraging their efficiency in circumventing the need for a large number of annotations, which can be both costly and time-consuming to deploy supervised methods.

1
12 Dec 2023

Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification

yookyungkho/mav 8 Dec 2023

Recently, prompt-based fine-tuning has garnered considerable interest as a core technique for few-shot text classification task.

1
08 Dec 2023

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

lastmile-ai/aiconfig 7 Dec 2023

We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases.

813
07 Dec 2023

Improving Bias Mitigation through Bias Experts in Natural Language Understanding

jej127/bias-experts 6 Dec 2023

To mitigate the detrimental effect of the bias on the networks, previous works have proposed debiasing methods that down-weight the biased examples identified by an auxiliary model, which is trained with explicit bias labels.

6
06 Dec 2023

Exponentially Convergent Algorithms for Supervised Matrix Factorization

ljw9510/smf NeurIPS 2023

Supervised matrix factorization (SMF) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a priori aligned objectives.

0
18 Nov 2023