Image de couverture de livre

Complexity of Linear Regions in Self-supervised Deep ReLU Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Muthivhi, Mufhumudzi, van Zyl, Terence L.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings
par: Muthivhi, Mufhumudzi, et autres
Publié: (2025)

Multi-Object Tracking Consistently Improves Wildlife Inference
par: Muthivhi, Mufhumudzi, et autres
Publié: (2026)

Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
par: Huo, Jiahao, et autres
Publié: (2025)

Improving Wildlife Out-of-Distribution Detection: Africas Big Five
par: Muthivhi, Mufhumudzi, et autres
Publié: (2025)

Deep Learning using Rectified Linear Units (ReLU)
par: Agarap, Abien Fred
Publié: (2018)

Deep ReLU Networks Have Surprisingly Simple Polytopes
par: Fan, Feng-Lei, et autres
Publié: (2023)

BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model
par: Muthivhi, Mufhumudzi, et autres
Publié: (2025)

On the Local Complexity of Linear Regions in Deep ReLU Networks
par: Patel, Niket, et autres
Publié: (2024)

APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning
par: Kumar, Ravin
Publié: (2022)

A Significantly Better Class of Activation Functions Than ReLU Like Activation Functions
par: Noel, Mathew Mithra, et autres
Publié: (2024)

A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
par: Bi, Jingjun, et autres
Publié: (2025)

Blind Image Deblurring with FFT-ReLU Sparsity Prior
par: Radi, Abdul Mohaimen Al, et autres
Publié: (2024)

The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
par: Stargalla, Moritz, et autres
Publié: (2025)

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
par: Li, Shuo, et autres
Publié: (2025)

VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
par: Shakarami, Ashkan, et autres
Publié: (2025)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
par: Sirko-Galouchenko, Sophia, et autres
Publié: (2024)

BRIDLE: Generalized Self-supervised Learning with Quantization
par: Nguyen, Hoang M., et autres
Publié: (2025)

Visualizing the loss landscape of Self-supervised Vision Transformer
par: Lee, Youngwan, et autres
Publié: (2024)

Augmentation-aware Self-supervised Learning with Conditioned Projector
par: Przewięźlikowski, Marcin, et autres
Publié: (2023)

Self-supervised visual learning from interactions with objects
par: Aubret, Arthur, et autres
Publié: (2024)

Mixed Autoencoder for Self-supervised Visual Representation Learning
par: Chen, Kai, et autres
Publié: (2023)

Reducing Deep Network Complexity via Sparse Hierarchical Fourier Interaction Networks
par: Kiruluta, Andrew, et autres
Publié: (2017)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
par: Cao, Shengcao, et autres
Publié: (2024)

Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation
par: de Mooij, Rob A. J., et autres
Publié: (2024)

Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction
par: Ying, Hejie, et autres
Publié: (2023)

ReLUs Are Sufficient for Learning Implicit Neural Representations
par: Shenouda, Joseph, et autres
Publié: (2024)

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
par: Balmaseda, Vicente, et autres
Publié: (2025)

Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
par: Huang, Yuqing, et autres
Publié: (2024)

Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
par: Qin, Huaiyuan, et autres
Publié: (2025)

SPARK: Self-supervised Personalized Real-time Monocular Face Capture
par: Baert, Kelian, et autres
Publié: (2024)

The Geometry of ReLU Networks through the ReLU Transition Graph
par: Dhayalkar, Sahil Rajesh
Publié: (2025)

Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
par: Wu, Di, et autres
Publié: (2019)

Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining
par: Lin, Yu-Fan, et autres
Publié: (2024)

A Survey on Self-supervised Contrastive Learning for Multimodal Text-Image Analysis
par: Khan, Asifullah, et autres
Publié: (2025)

Random Walks in Self-supervised Learning for Triangular Meshes
par: Yefet, Gal, et autres
Publié: (2025)

PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks
par: Kato, Shunya, et autres
Publié: (2024)

Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
par: Rabbi, Jakaria, et autres
Publié: (2026)

Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
par: Benchallal, Farouq, et autres
Publié: (2025)

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
par: Gahir, Amar, et autres
Publié: (2026)

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
par: Choi, Wonhyeok, et autres
Publié: (2025)