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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)

Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 CausalLM is not optimal for in-context learning ICLR 2024 Cell ontology guided transcriptome foundation model NeurIPS 2024 Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation ACL 2024 Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024 Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations COLING 2024 CHAMUÇA: Towards a Linked Data Language Resource of Portuguese Borrowings in Asian Languages COLING 2024 CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages EACL 2024 Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs NAACL 2024 Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024 Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary ACL 2024 Chinese UMR annotation: Can LLMs help? COLING 2024 Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues COLING 2024 Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024 Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CoNLL 2024 CHRONOS: A Schema-Based Event Understanding and Prediction System AAAI 2024 CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification ACL 2024 CIFD: Controlled Information Flow to Enhance Knowledge Distillation NeurIPS 2024 CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment ICLR 2024 CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer AAAI 2024 CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task ACL 2024 Class-Incremental Few-Shot Event Detection COLING 2024