Copertina

Provenance Networks: End-to-End Exemplar-Based Explainability

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kayyam, Ali, Gopal, Anusha Madan, Lewis, M. Anthony
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

End-to-End Multi-Modal Diffusion Mamba
di: Lu, Chunhao, et al.
Pubblicazione: (2025)

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
di: Dimlioglu, Tolga, et al.
Pubblicazione: (2026)

SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap
di: Somers, Vladimir, et al.
Pubblicazione: (2024)

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision
di: Pyeon, Myeongjang, et al.
Pubblicazione: (2025)

End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines
di: Pérez-Gonzalo, Raül, et al.
Pubblicazione: (2026)

End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
di: Kim, Kwanyoung, et al.
Pubblicazione: (2023)

Hidden Biases of End-to-End Driving Datasets
di: Zimmerlin, Julian, et al.
Pubblicazione: (2024)

Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets
di: Koran, Alex, et al.
Pubblicazione: (2026)

Interpretable Decision-Making for End-to-End Autonomous Driving
di: Mirzaie, Mona, et al.
Pubblicazione: (2025)

End-to-End Training for Unified Tokenization and Latent Denoising
di: Duggal, Shivam, et al.
Pubblicazione: (2026)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
di: Sima, Chonghao, et al.
Pubblicazione: (2025)

End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
di: Elmekki, Hanae, et al.
Pubblicazione: (2025)

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
di: Nguyen, Long, et al.
Pubblicazione: (2025)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
di: Zheng, Wenzhao, et al.
Pubblicazione: (2024)

B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning
di: Madan, Anish, et al.
Pubblicazione: (2021)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
di: Zhao, Zhonghan, et al.
Pubblicazione: (2025)

Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
di: Rodríguez-Vidal, Jorge Daniel, et al.
Pubblicazione: (2026)

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
di: Wozniak, Maciej K., et al.
Pubblicazione: (2025)

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
di: Chen, Yi, et al.
Pubblicazione: (2026)

EMMA: End-to-End Multimodal Model for Autonomous Driving
di: Hwang, Jyh-Jing, et al.
Pubblicazione: (2024)

POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
di: Joshi, Abhinav, et al.
Pubblicazione: (2025)

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
di: Zhou, Hongkuan, et al.
Pubblicazione: (2023)

AI-driven Automation of End-to-end Assessment of Suturing Expertise
di: Deo, Atharva, et al.
Pubblicazione: (2025)

SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer
di: Kartiman, Fachri Najm Noer, et al.
Pubblicazione: (2025)

LLEXICORP: End-user Explainability of Convolutional Neural Networks
di: Kůr, Vojtěch, et al.
Pubblicazione: (2025)

Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
di: Nagano, Koshiro, et al.
Pubblicazione: (2026)

End-to-end Autonomous Driving: Challenges and Frontiers
di: Chen, Li, et al.
Pubblicazione: (2023)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
di: Liu, Xuan, et al.
Pubblicazione: (2025)

TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
di: Zarrar, Mohammed Misbah, et al.
Pubblicazione: (2024)

ECOR: Explainable CLIP for Object Recognition
di: Rasekh, Ali, et al.
Pubblicazione: (2024)

RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
di: Osathitporn, Pongpanut, et al.
Pubblicazione: (2022)

End-to-end Semantic-centric Video-based Multimodal Affective Computing
di: Lin, Ronghao, et al.
Pubblicazione: (2024)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
di: He, Run, et al.
Pubblicazione: (2025)

DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images
di: Dagli, Rishit
Pubblicazione: (2023)

GutenOCR: A Grounded Vision-Language Front-End for Documents
di: Heidenreich, Hunter, et al.
Pubblicazione: (2026)

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework
di: Celaya, Adrian, et al.
Pubblicazione: (2024)

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
di: Yang, Zhenwei, et al.
Pubblicazione: (2024)

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving
di: Zhu, Ruiyang, et al.
Pubblicazione: (2026)

A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection
di: Boytsov, Leonid, et al.
Pubblicazione: (2024)

Leaf-Based Plant Disease Detection and Explainable AI
di: Sagar, Saurav, et al.
Pubblicazione: (2023)