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

3

2

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12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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'15

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'25

Papers (including subtopics)

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction NAACL 2025 Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning COLING 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems ICLR 2025 Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025 Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health AAAI 2025 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025 Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer WACV 2025 Enriching Patent Claim Generation with European Patent Dataset EMNLP 2025 Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching EMNLP 2025 Ensemble Foreground Management for Unsupervised Object Discovery ICCV 2025 Ensembles of Low-Rank Expert Adapters ICLR 2025 Entity Tracking in Small Language Models: An Attention-Based Study of Parameter-Efficient Fine-Tuning EMNLP 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning AAAI 2025 EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding ACL 2025 EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion AAAI 2025 Equivariant Neural Functional Networks for Transformers ICLR 2025 Error-driven Data-efficient Large Multimodal Model Tuning ACL 2025 ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation ACL 2025 Evaluating Compositional Generalisation in VLMs and Diffusion Models EMNLP 2025 Evaluating distillation methods for data-efficient syntax learning EMNLP 2025 Evaluating Large Language Models for Belief Inference: Mapping Belief Networks at Scale EMNLP 2025