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

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12

24

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Dual Calibration-based Personalised Federated Learning IJCAI 2024 Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer AAAI 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models CVPR 2024 Dual Operating Modes of In-Context Learning ICML 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models NeurIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NeurIPS 2024 Dual-Space Knowledge Distillation for Large Language Models EMNLP 2024 DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation NAACL 2024 DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction NAACL 2024 DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure SemEval 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation NeurIPS 2024 EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024 EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer NeurIPS 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024 ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains IJCAI 2024 EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition NAACL 2024 Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints NAACL 2024 EditEval: An Instruction-Based Benchmark for Text Improvements CoNLL 2024 EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language NAACL 2024 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024