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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
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'10
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'25

Papers (including subtopics)

Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages ACL 2024 SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024 SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models Interspeech 2024 SWE-bench: Can Language Models Resolve Real-world Github Issues? ICLR 2024 SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024 Symmetric Linear Bandits with Hidden Symmetry NeurIPS 2024 Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024 Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction AAAI 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024 SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspect-based Sentiment Analysis COLING 2024 SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery NeurIPS 2024 SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking EACL 2024 Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models NAACL 2024 Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024 Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models NAACL 2024 Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning NAACL 2024 T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory CVPR 2024 TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications AutoML 2024 TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition NAACL 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 Tagengo: A Multilingual Chat Dataset EMNLP 2024 Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024 Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL 2024