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

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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

'5

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Papers (including subtopics)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning ICLR 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NeurIPS 2024 Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering EMNLP 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting EMNLP 2024 Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering EACL 2024 Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Few-Shot Event Argument Extraction Based on a Meta-Learning Approach NAACL 2024 Few-Shot Event Classification in Images Using Knowledge Graphs for Prompting WACV 2024 Few-shot Hybrid Domain Adaptation of Image Generator ICLR 2024 Few-Shot Keyword-Incremental Learning with Total Calibration Interspeech 2024 Few-Shot Keyword Spotting from Mixed Speech Interspeech 2024 Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024 Few-Shot Learning for Cold-Start Recommendation COLING 2024 Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024 Few-shot Link Prediction on Hyper-relational Facts COLING 2024