mlsanityData to 14 Oct 2026

CIFAR-10: KNN-based Ensemble of Classifiers

arXiv 1611.04905 ↗First posted 15 Nov 2016cs.CVcited by 16

Not on the map. Why?

Abstract (arXiv)

In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), on some classes, are mutually exclusive, thus yield in higher accuracy when combined. We reduce KNN overfitting using Principal Component Analysis (PCA), and ensemble it with a CNN to increase its accuracy. Our approach improves our best CNN model from 93.33% to 94.03%.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Nov 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 5; 2023: 1; 2024: 4; 2025: 4; 2026: 2.

16 papers.

Sort:

By area:

  1. 2022Efficient Diffusion Models for Vision: A Surveycited by 51
  2. 2023Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-artcited by 14
  3. 2022Preventing Manifold Intrusion with Locality: Local Mixupcited by 11
  4. 2022A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networkscited by 5
  5. 2024Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Textcited by 5
  6. 2024A logifold structure on measure spacecited by 2
  7. 2025Incomplete In-context Learningcited by 2
  8. 2025Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradationcited by 2
  9. 2022A Creative Industry Image Generation Dataset Based on Captionscited by 1
  10. 2022Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioningcited by 0
  11. 2024Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Modelscited by 0
  12. 2024Memory Networks: Towards Fully Biologically Plausible Learningcited by 0
4 more
  1. 2025PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activationcited by 0
  2. 2025Dual-Phase Federated Deep Unlearning via Weight-Aware Rollback and Reconstructioncited by 0
  3. 2026Differentially Private Natural Gradient Descentcited by 0
  4. 2026Learning Kernels by Alignment for Multiclass Bayes Classificationcited by 0