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

3

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12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

MAGIC: Multi-Argument Generation with Self-Refinement for Domain Generalization in Automatic Fact-Checking COLING 2024 Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Making Language Models Better Tool Learners with Execution Feedback NAACL 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NeurIPS 2024 Making Pre-trained Language Models Great on Tabular Prediction ICLR 2024 MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model SemEval 2024 ManNER & ManPOS: Pioneering NLP for Endangered Manchu Language COLING 2024 Many-Shot In-Context Learning NeurIPS 2024 MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows NeurIPS 2024 MARPLE: A Benchmark for Long-Horizon Inference NeurIPS 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 Mars: Situated Inductive Reasoning in an Open-World Environment NeurIPS 2024 Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SemEval 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement CVPR 2024 MaskLID: Code-Switching Language Identification through Iterative Masking ACL 2024 Massive Editing for Large Language Models via Meta Learning ICLR 2024 Massively Multilingual Token-Based Typology Using the Parallel Bible Corpus COLING 2024 Matching Anything by Segmenting Anything CVPR 2024 Mathematical Entities: Corpora and Benchmarks COLING 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024 MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024