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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12

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14

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29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation WACV 2025 Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization AAAI 2025 Strong Model Collapse ICLR 2025 Structure-aware Domain Knowledge Injection for Large Language Models ACL 2025 Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025 StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation Interspeech 2025 Subgraph Federated Learning for Local Generalization ICLR 2025 SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025 Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning CVPR 2025 Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR 2025 Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing ACL 2025 SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025 Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation IJCAI 2025 Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification EMNLP 2025 Super-Class Guided Transformer for Zero-Shot Attribute Classification AAAI 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025 Superpowering Open-Vocabulary Object Detectors for X-ray Vision ICCV 2025 Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025 SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity CVPR 2025 Surprise Calibration for Better In-Context Learning EMNLP 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025 SV-data2vec: Guiding Video Representation Learning with Latent Skeleton Targets WACV 2025 SWAM: Adaptive Sliding Window and Memory-Augmented Attention Model for Rumor Detection EMNLP 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025 Switch-a-View: View Selection Learned from Unlabeled In-the-wild Videos ICCV 2025