:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Carlon, May Kristine Jonson, Noe, Su Myat, Wang, Haojiong, Kuniyoshi, Yasuo
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2602.03217
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
di: Komatsu, Takayuki, et al.
Pubblicazione: (2026)

Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
di: Guan, JingChuan, et al.
Pubblicazione: (2025)

Neuro-Inspired Hierarchical Multimodal Learning
di: Xiao, Xiongye, et al.
Pubblicazione: (2023)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
di: Said, Anwar, et al.
Pubblicazione: (2023)

TIPAA-SSL: Text Independent Phone-to-Audio Alignment based on Self-Supervised Learning and Knowledge Transfer
di: Tits, Noé, et al.
Pubblicazione: (2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit
di: Zheng, Lecheng, et al.
Pubblicazione: (2024)

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
di: Hu, Yulan, et al.
Pubblicazione: (2023)

Training Spiking Neural Networks via Augmented Direct Feedback Alignment
di: Zhang, Yongbo, et al.
Pubblicazione: (2024)

MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
di: Wang, Xubin, et al.
Pubblicazione: (2024)

Can Transformers Predict Vibrations?
di: Kuniyoshi, Fusataka, et al.
Pubblicazione: (2024)

Active Inference with a Self-Prior in the Mirror-Mark Task
di: Kim, Dongmin, et al.
Pubblicazione: (2026)

Neuro-Argumentative Learning with Case-Based Reasoning
di: Gould, Adam, et al.
Pubblicazione: (2025)

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
di: Kokilepersaud, Kiran, et al.
Pubblicazione: (2025)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
di: Gama, João, et al.
Pubblicazione: (2024)

Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
di: Banayeeanzade, Amin, et al.
Pubblicazione: (2025)

A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany
di: Dormuth, Ina, et al.
Pubblicazione: (2025)

The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns
di: Lorello, Luca Salvatore, et al.
Pubblicazione: (2024)

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
di: Bortolotti, Samuele, et al.
Pubblicazione: (2024)

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
di: Wang, Wenxi, et al.
Pubblicazione: (2021)

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
di: Kontras, Konstantinos, et al.
Pubblicazione: (2026)

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL
di: Wong, Sheng, et al.
Pubblicazione: (2026)

A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
di: Cucumides, Tamara, et al.
Pubblicazione: (2023)

Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
di: Chen, Weidao, et al.
Pubblicazione: (2025)

CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
di: Zhou, Rushuang, et al.
Pubblicazione: (2024)

Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
di: He, Shuqi, et al.
Pubblicazione: (2024)

SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
di: Zou, Xuecheng, et al.
Pubblicazione: (2026)

Characterizing the Influence of Topology on Graph Learning Tasks
di: Wu, Kailong, et al.
Pubblicazione: (2024)

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
di: Wang, Weida, et al.
Pubblicazione: (2025)

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
di: Min, Nay Myat, et al.
Pubblicazione: (2024)

CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
di: Pan, Haining, et al.
Pubblicazione: (2025)

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
di: Fu, Xingbo, et al.
Pubblicazione: (2025)

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
di: Song, Yu, et al.
Pubblicazione: (2025)

BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
di: Zakarias, Gustav Wagner, et al.
Pubblicazione: (2024)

Neuro-symbolic Action Masking for Deep Reinforcement Learning
di: Han, Shuai, et al.
Pubblicazione: (2026)

Neuro-Logic Lifelong Learning
di: He, Bowen, et al.
Pubblicazione: (2025)

Neuro-Symbolic Rule Lists
di: Xu, Sascha, et al.
Pubblicazione: (2024)

NeuroAI for AI Safety
di: Mineault, Patrick, et al.
Pubblicazione: (2024)

Explainable Diagnosis Prediction through Neuro-Symbolic Integration
di: Lu, Qiuhao, et al.
Pubblicazione: (2024)

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
di: Cheng, Yao, et al.
Pubblicazione: (2025)

Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics
di: Benoit, Alexandre, et al.
Pubblicazione: (2025)