:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alessandro, Marco D, Calabrés, Enrique, Elkano, Mikel
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2403.04866
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)

GENESIS: A Generative Model of Episodic-Semantic Interaction
by: D'Alessandro, Marco, et al.
Published: (2025)

LANISTR: Multimodal Learning from Structured and Unstructured Data
by: Ebrahimi, Sayna, et al.
Published: (2023)

From Modular to End-to-End Speaker Diarization
by: Landini, Federico
Published: (2024)

Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems
by: Vlachos, Christos, et al.
Published: (2024)

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
by: Pillai, Nisha, et al.
Published: (2024)

Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving
by: Kaljavesi, Gemb, et al.
Published: (2024)

LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
by: Qiao, Zhijie, et al.
Published: (2025)

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
by: You, Weiqiu, et al.
Published: (2023)

End-to-End Graph Flattening Method for Large Language Models
by: Hong, Bin, et al.
Published: (2024)

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
by: He, Hongliang, et al.
Published: (2024)

End-to-End Learning-based Operation of Integrated Energy Systems for Buildings and Data Centers
by: Pu, Zhenyu, et al.
Published: (2026)

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
by: Luo, Lirui, et al.
Published: (2024)

WebDS: An End-to-End Benchmark for Web-based Data Science
by: Hsu, Ethan, et al.
Published: (2025)

ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments
by: Xin, Jinghao, et al.
Published: (2025)

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

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework
by: Su, Yao, et al.
Published: (2025)

End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
by: Das, Nilmadhab, et al.
Published: (2025)

Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases
by: Zhang, Yao, et al.
Published: (2025)

SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models
by: Yin, Han, et al.
Published: (2025)

End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data
by: Park, Jin Bok, et al.
Published: (2023)

Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion Method
by: Xu, Haofei, et al.
Published: (2026)

NORA: A Harness-Engineered Autonomous Research Agent for End-to-End Spatial Data Science
by: Zhou, Bing, et al.
Published: (2026)

ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning
by: Chen, Wendi, et al.
Published: (2025)

VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis
by: Zhang, Jiachen, et al.
Published: (2026)

Distilling an End-to-End Voice Assistant Without Instruction Training Data
by: Held, William, et al.
Published: (2024)

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

Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)

End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)

Reinforced Reasoning for End-to-End Retrosynthetic Planning
by: Zuo, Chenyang, et al.
Published: (2026)

End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)

Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
by: Lu, Siyi, et al.
Published: (2024)

Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation
by: Jin, Kefan, et al.
Published: (2022)

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
by: Lai, Hanyu, et al.
Published: (2025)

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting
by: Luo, Miaosen, et al.
Published: (2025)

A Provable Approach for End-to-End Safe Reinforcement Learning
by: Wachi, Akifumi, et al.
Published: (2025)

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving
by: Jaladi, Satya R., et al.
Published: (2024)

End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
by: Kishky, Mahmoud M., et al.
Published: (2024)