Copertina

Learn&Drop: Fast Learning of CNNs based on Layer Dropping

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cruciata, Giorgio, Cruciata, Luca, Presti, Liliana Lo, Van Gemert, Jan, La Cascia, Marco
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Neural and Evolutionary Computing I.4.9; I.2.6; I.2.10
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
di: Wang, Haidong, et al.
Pubblicazione: (2022)

Accelerating Model-Based Reinforcement Learning with State-Space World Models
di: Krinner, Maria, et al.
Pubblicazione: (2025)

EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
di: Gupta, Ruchika, et al.
Pubblicazione: (2026)

Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
di: Qian, Tianhao, et al.
Pubblicazione: (2026)

Evolving to the Aesthetics of a Vision-Language Model
di: Krol, Stephen James, et al.
Pubblicazione: (2026)

Object-centric proto-symbolic behavioural reasoning from pixels
di: van Bergen, Ruben, et al.
Pubblicazione: (2024)

SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization
di: Jang, Minsuk, et al.
Pubblicazione: (2025)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
di: Sakallioglu, Berfin, et al.
Pubblicazione: (2026)

A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
di: Sinha, Ankur, et al.
Pubblicazione: (2024)

Unification of popular artificial neural network activation functions
di: Mostafanejad, Mohammad
Pubblicazione: (2023)

Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
di: Wang, Binxu, et al.
Pubblicazione: (2023)

Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
di: Chakraborty, Debjyoti
Pubblicazione: (2026)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
di: Lee, Justin, et al.
Pubblicazione: (2025)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
di: Kent, Jonathan S., et al.
Pubblicazione: (2024)

Controlling Recurrent Neural Networks by Conceptors
di: Jaeger, Herbert
Pubblicazione: (2014)

OkanNet: A Lightweight Deep Learning Architecture for Classification of Brain Tumor from MRI Images
di: Uçar, Okan, et al.
Pubblicazione: (2026)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
di: Wang, Shaokuan, et al.
Pubblicazione: (2026)

Sample as You Infer: Predictive Coding With Langevin Dynamics
di: Zahid, Umais, et al.
Pubblicazione: (2023)

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
di: Seo, Huichan, et al.
Pubblicazione: (2025)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
di: Hummel, John E., et al.
Pubblicazione: (2025)

Evolving Programmatic Skill Networks
di: Shi, Haochen, et al.
Pubblicazione: (2026)

SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
di: Jayarathne, Nithira, et al.
Pubblicazione: (2025)

Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-Evolution
di: Sang, Shiyao
Pubblicazione: (2025)

Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning
di: Naeen, Mohammad Ali Etemadi, et al.
Pubblicazione: (2025)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
di: Lou, Jianwei
Pubblicazione: (2026)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
di: Zhang, Yintong, et al.
Pubblicazione: (2024)

Evolving Deep Learning Optimizers
di: Marfinetz, Mitchell
Pubblicazione: (2025)

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
di: Arnold, Solvi, et al.
Pubblicazione: (2024)

Combining Trained Models in Reinforcement Learning
di: Patil, Ujjwal, et al.
Pubblicazione: (2026)

Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
di: Dominijanni, Marissa, et al.
Pubblicazione: (2025)

Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
di: Nouranizadeh, Amirhossein, et al.
Pubblicazione: (2024)

ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
di: Martin-Turrero, Carmen, et al.
Pubblicazione: (2024)

MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation
di: Bartkowiak, Patryk, et al.
Pubblicazione: (2026)

Navigating Simply, Aligning Deeply: Winning Solutions for Mouse vs. AI 2025
di: Pham, Phu-Hoa, et al.
Pubblicazione: (2026)

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
di: Yu, Yingchao, et al.
Pubblicazione: (2025)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
di: Gayler, Ross W.
Pubblicazione: (2004)

Increasing biases can be more efficient than increasing weights
di: Metta, Carlo, et al.
Pubblicazione: (2023)

Theoretical Analysis of the Advantage of Deepening Neural Networks
di: Esaki, Yasushi, et al.
Pubblicazione: (2020)

BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
di: Rao, Ravipudi Venkata, et al.
Pubblicazione: (2024)

Learning the meanings of function words from grounded language using a visual question answering model
di: Portelance, Eva, et al.
Pubblicazione: (2023)