Skip to content
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

4
29
67
1,124
2,486
'5
'10
'15
'20
'25

Papers (including subtopics)

News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations NeurIPS 2024 Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation EACL 2024 NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages COLING 2024 NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning CVPR 2024 NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task EMNLP 2024 NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption COLING 2024 NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SemEval 2024 NLP Progress in Indigenous Latin American Languages NAACL 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition EACL 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 No Need for Large-Scale Search: Exploring Large Language Models in Complex Knowledge Base Question Answering COLING 2024 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NeurIPS 2024 Non-stationary Domain Generalization: Theory and Algorithm UAI 2024 No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation CVPR 2024 Not Just Object, But State: Compositional Incremental Learning without Forgetting NeurIPS 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NeurIPS 2024 NSina: A News Corpus for Sinhala COLING 2024 NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning SemEval 2024 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024 NYULangone at Chemotimelines 2024: Utilizing Open-Weights Large Language Models for Chemotherapy Event Extraction NAACL 2024 Observational Scaling Laws and the Predictability of Langauge Model Performance NeurIPS 2024 OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SemEval 2024