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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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'25

Papers (including subtopics)

CLD-MEC at MEDIQA- CORR 2024 Task: GPT-4 Multi-Stage Clinical Chain of Thought Prompting for Medical Errors Detection and Correction NAACL 2024 ClevrSkills: Compositional Language And Visual Reasoning in Robotics NeurIPS 2024 CLiC: Concept Learning in Context CVPR 2024 ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes NAACL 2024 CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies IJCAI 2024 CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model AAAI 2024 CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics NeurIPS 2024 ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SemEval 2024 Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation EMNLP 2024 Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction EACL 2024 CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite COLING 2024 Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models COLING 2024 CoBo: Collaborative Learning via Bilevel Optimization NeurIPS 2024 CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context COLING 2024 CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024 Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models EMNLP 2024 Code-Mixed Probes Show How Pre-Trained Models Generalise on Code-Switched Text COLING 2024 Code Models are Zero-shot Precondition Reasoners NAACL 2024 Code Representation Pre-training with Complements from Program Executions EMNLP 2024 Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024 Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment ACL 2024 CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions NAACL 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 Coherent Temporal Synthesis for Incremental Action Segmentation CVPR 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NeurIPS 2024