Learning Paradigms
2,205 papers (6 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
CVPR 2025
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
AAAI 2025
GTA: Towards Generative Text-To-Audio Retrieval via Multi-Scale Tokenizer
Interspeech 2025
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
AAAI 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
AAAI 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
AAAI 2025
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts
IJCAI 2025
HiPPO: Exploring A Novel Hierarchical Pronunciation Assessment Approach for Spoken Languages
IJCNLP 2025
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving
CVPR 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
CVPR 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
AAAI 2025
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach
ICLR 2025
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
AAAI 2025
Inefficiencies of Meta Agents for Agent Design
EMNLP 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
CVPR 2025
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
NAACL 2025
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
AAAI 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
ICCV 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
AAAI 2025
Label-Free Backdoor Attacks in Vertical Federated Learning
AAAI 2025
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
EMNLP 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
AAAI 2025