conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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66

53

67

103

206

482

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1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning UAI 2026 Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning ACL 2026 Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection AAAI 2026 Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction AAAI 2026 Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026 F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification AAAI 2026 Facilitating Early Maladaptive Schema–Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System AAAI 2026 Fair-CCD: Mitigating Bias in Large Language Models for Tabular Classification Through Context-Contrastive Decoding ACL 2026 FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement CVPR 2026 FCC: Fully Connected Correlation for One-Shot Segmentation WACV 2026 Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026 FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA AAAI 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026 FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026 Federated Context-Aware Personalized Recommendation AAAI 2026 Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract) AAAI 2026 Federated Graph-level Clustering Network with Attribute Inference AAAI 2026 Federated Learning Playground AAAI 2026