Copertina

Achieving Data Efficient Neural Networks with Hybrid Concept-based Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Opsahl, Tobias A., Antun, Vegard
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SALVE: Sparse Autoencoder-Latent Vector Editing for Mechanistic Control of Neural Networks
di: Flovik, Vegard
Pubblicazione: (2025)

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
di: Schmalwasser, Laines, et al.
Pubblicazione: (2025)

Does a Neural Network Really Encode Symbolic Concepts?
di: Li, Mingjie, et al.
Pubblicazione: (2023)

Understanding Multimodal Deep Neural Networks: A Concept Selection View
di: Shang, Chenming, et al.
Pubblicazione: (2024)

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
di: Chang, Wonjoon, et al.
Pubblicazione: (2023)

FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
di: Parchami-Araghi, Amin, et al.
Pubblicazione: (2025)

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
di: Parekh, Jayneel, et al.
Pubblicazione: (2024)

Concept-Guided Interpretability via Neural Chunking
di: Wu, Shuchen, et al.
Pubblicazione: (2025)

Concept-based Analysis of Neural Networks via Vision-Language Models
di: Mangal, Ravi, et al.
Pubblicazione: (2024)

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
di: Petsiuk, Vitali, et al.
Pubblicazione: (2024)

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
di: Kyrkou, Christos
Pubblicazione: (2024)

A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
di: Wu, Yifan, et al.
Pubblicazione: (2024)

ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation
di: Guo, Yipin, et al.
Pubblicazione: (2024)

Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
di: Wisniewski, Mariusz, et al.
Pubblicazione: (2024)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
di: Xu, Kaiwen, et al.
Pubblicazione: (2023)

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
di: Singhi, Nishad, et al.
Pubblicazione: (2024)

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
di: Kwon, Gihyun, et al.
Pubblicazione: (2024)

Six Sigma For Neural Networks: Taguchi-based optimization
di: Kodathala, Sai Varun
Pubblicazione: (2025)

Editable Concept Bottleneck Models
di: Hu, Lijie, et al.
Pubblicazione: (2024)

Pix2Code: Learning to Compose Neural Visual Concepts as Programs
di: Wüst, Antonia, et al.
Pubblicazione: (2024)

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
di: Chavhan, Ruchika, et al.
Pubblicazione: (2024)

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
di: Qu, Xiaoyi, et al.
Pubblicazione: (2025)

Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
di: Zhao, Shan, et al.
Pubblicazione: (2024)

Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
di: Prabhushankar, Mohit, et al.
Pubblicazione: (2024)

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
di: Xu, Xinyue, et al.
Pubblicazione: (2024)

Semi-supervised Concept Bottleneck Models
di: Hu, Lijie, et al.
Pubblicazione: (2024)

Understanding Visual Concepts Across Models
di: Trabucco, Brandon, et al.
Pubblicazione: (2024)

Zero-shot Concept Bottleneck Models
di: Yamaguchi, Shin'ya, et al.
Pubblicazione: (2025)

Process-Guided Concept Bottleneck Model
di: Asiyabi, Reza M., et al.
Pubblicazione: (2026)

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
di: Lee, Jae Hee, et al.
Pubblicazione: (2023)

Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
di: Pahde, Frederik, et al.
Pubblicazione: (2022)

CMOOD: Concept-based Multi-label OOD Detection
di: Liu, Zhendong, et al.
Pubblicazione: (2024)

The Anatomy of Adversarial Attacks: Concept-based XAI Dissection
di: Mikriukov, Georgii, et al.
Pubblicazione: (2024)

Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
di: Mih, Atah Nuh, et al.
Pubblicazione: (2024)

Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
di: Tanbhir, Gazi, et al.
Pubblicazione: (2025)

Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation
di: Hwa, DeShin, et al.
Pubblicazione: (2025)

MACE: Mass Concept Erasure in Diffusion Models
di: Lu, Shilin, et al.
Pubblicazione: (2024)

Interactive Medical Image Analysis with Concept-based Similarity Reasoning
di: Huy, Ta Duc, et al.
Pubblicazione: (2025)

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
di: Li, Gen, et al.
Pubblicazione: (2025)

Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
di: Satish, Manthan Chelenahalli, et al.
Pubblicazione: (2024)