General Classification

3929 papers with code • 11 benchmarks • 8 datasets

Algorithms trying to solve the general task of classification.

Libraries

Use these libraries to find General Classification models and implementations

Facial Beauty Analysis Using Distribution Prediction and CNN Ensembles

ugail/FaciaIBeautyIEEESKIMA2023 International Conference on Software, Knowledge, Information Management and Applications (SKIMA) 2023

In addition, deep learning based FBP approaches so far use transfer learning from models trained on general classification tasks such as ImageNet.

2
10 Dec 2023

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices

mohamed-imed-eddine/harmonic-nas 12 Sep 2023

In this paper, we propose Harmonic-NAS, a framework for the joint optimization of unimodal backbones and multimodal fusion networks with hardware awareness on resource-constrained devices.

6
12 Sep 2023

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization

rll-research/bpref 19 Jul 2023

Due to the existence of similarity trap, such consistency regularization improperly enhances the consistency possiblity of the model's predictions between segment pairs, and thus reduces the confidence in reward learning, since the augmented distribution does not match with the original one in PbRL.

98
19 Jul 2023

THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data

esa-philab/pyraws 12 May 2023

Nevertheless, given the growing interest to apply Artificial Intelligence (AI) onboard satellites for time-critical applications, such as natural disaster response, providing raw satellite images could be useful to foster the research on energy-efficient pre-processing algorithms and AI models for onboard-satellite applications.

64
12 May 2023

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

jaeill/CVPR23-VNE CVPR 2023

Since the introduction of deep learning, a wide scope of representation properties, such as decorrelation, whitening, disentanglement, rank, isotropy, and mutual information, have been studied to improve the quality of representation.

22
04 Apr 2023

Continuous Indeterminate Probability Neural Network

starfruit007/cipnn 23 Mar 2023

Third, we propose a new method to visualize the latent random variables, we use one of N dimensional latent variables as a decoder to reconstruct the input image, which can work even for classification tasks, in this way, we can see what each latent variable has learned.

0
23 Mar 2023

Fair and Optimal Classification via Post-Processing

rxian/fair-classification 3 Nov 2022

To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance.

10
03 Nov 2022

Hierarchical classification at multiple operating points

jvlmdr/hiercls 19 Oct 2022

Many classification problems consider classes that form a hierarchy.

17
19 Oct 2022

Association Graph Learning for Multi-Task Classification with Category Shifts

autumn9999/mtc-with-category-shifts 10 Oct 2022

To generalize to such test data, it is crucial for individual tasks to leverage knowledge from related tasks.

11
10 Oct 2022

Detecting Label Errors in Token Classification Data

cleanlab/cleanlab 8 Oct 2022

Mislabeled examples are a common issue in real-world data, particularly for tasks like token classification where many labels must be chosen on a fine-grained basis.

8,153
08 Oct 2022