Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Raymond, Christian, Chen, Qi, Xue, Bing, Zhang, Mengjie
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
di: Raymond, Christian, et al.
Pubblicazione: (2022)

An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition
di: Xia, Yizhang, et al.
Pubblicazione: (2024)

Learning Traffic Signal Control via Genetic Programming
di: Liao, Xiao-Cheng, et al.
Pubblicazione: (2024)

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
di: Chen, Lan, et al.
Pubblicazione: (2024)

Elastic Spiking Transformers for Efficient Gesture Understanding
di: Ancilotto, Alberto, et al.
Pubblicazione: (2026)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
di: Zhan, Qiugang, et al.
Pubblicazione: (2023)

EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition
di: Wang, Xiao, et al.
Pubblicazione: (2026)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
di: Lei, Zhenxin, et al.
Pubblicazione: (2024)

SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
di: Wang, Haiyang, et al.
Pubblicazione: (2024)

SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance
di: Gücen, Mustafa Bayram
Pubblicazione: (2025)

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
di: Tian, Yuan, et al.
Pubblicazione: (2026)

Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA
di: Andreadis, Georgios, et al.
Pubblicazione: (2025)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
di: Meem, Anika Tabassum, et al.
Pubblicazione: (2026)

XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
di: Wu, Jianfang, et al.
Pubblicazione: (2026)

Neural Architecture Search with Mixed Bio-inspired Learning Rules
di: Hamzaoui, Imane, et al.
Pubblicazione: (2025)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
di: Li, Haoyu, et al.
Pubblicazione: (2024)

AR-LIF: Adaptive reset leaky integrate-and-fire neuron for spiking neural networks
di: Huang, Zeyu, et al.
Pubblicazione: (2025)

Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
di: Wang, Xiao, et al.
Pubblicazione: (2024)

Temporal-adaptive Weight Quantization for Spiking Neural Networks
di: Zhang, Han, et al.
Pubblicazione: (2025)

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
di: Hao, Zecheng, et al.
Pubblicazione: (2024)

Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
di: Hao, Zecheng, et al.
Pubblicazione: (2026)

Meta-Learning Loss Functions for Deep Neural Networks
di: Raymond, Christian
Pubblicazione: (2024)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
di: Lin, Jiaqi, et al.
Pubblicazione: (2024)

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
di: Chen, Lan, et al.
Pubblicazione: (2024)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
di: Du, Guodong, et al.
Pubblicazione: (2024)

A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
di: Long, Quan, et al.
Pubblicazione: (2025)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling
di: Nguyen, Su, et al.
Pubblicazione: (2024)

In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
di: Earle, Sam, et al.
Pubblicazione: (2026)

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown
di: Gómez-Gálvez, Sandra, et al.
Pubblicazione: (2026)

E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
di: Qu, Qiang, et al.
Pubblicazione: (2024)

Encodings for Prediction-based Neural Architecture Search
di: Akhauri, Yash, et al.
Pubblicazione: (2024)

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
di: Wang, Xiao, et al.
Pubblicazione: (2024)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
di: Jiang, Runhua, et al.
Pubblicazione: (2024)

EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
di: Preintner, Tobias, et al.
Pubblicazione: (2025)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
di: Paek, Dong-Hee, et al.
Pubblicazione: (2025)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
di: Iannello, Ludovico, et al.
Pubblicazione: (2025)

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
di: Iannello, Ludovico, et al.
Pubblicazione: (2025)

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
di: Lapid, Raz, et al.
Pubblicazione: (2023)

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
di: Tang, Chuanming, et al.
Pubblicazione: (2022)

MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
di: Wang, Xiaoting, et al.
Pubblicazione: (2023)