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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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Papers (including subtopics)

Hierarchical Distribution Adaptation for Unsupervised Cross-corpus Speech Emotion Recognition Interspeech 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Hierarchical Global Asynchronous Federated Learning Across Multi-Center ACML 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling ICML 2024 hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) SemEval 2024 HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination Detector SemEval 2024 HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection ACL 2024 Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024 HMP: Hand Motion Priors for Pose and Shape Estimation From Video WACV 2024 Homology Consistency Constrained Efficient Tuning for Vision-Language Models NeurIPS 2024 How are Prompts Different in Terms of Sensitivity? NAACL 2024 How Does In-Context Learning Help Prompt Tuning? EACL 2024 How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes NAACL 2024 How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024 How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data ACL 2024 How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024 How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models COLING 2024 How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL 2024 How Important Is Tokenization in French Medical Masked Language Models? COLING 2024 How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval NeurIPS 2024 How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection AAAI 2024 How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? CVPR 2024 How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have COLING 2024 How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models? EACL 2024