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

2

4

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

'10

'15

'20

'25

Papers (including subtopics)

MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series ICML 2024 MFOS: Model-Free & One-Shot Object Pose Estimation AAAI 2024 MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection ACL 2024 MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis ICML 2024 mHuBERT-147: A Compact Multilingual HuBERT Model Interspeech 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications EMNLP 2024 MindBridge: A Cross-Subject Brain Decoding Framework CVPR 2024 MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 MINERS: Multilingual Language Models as Semantic Retrievers EMNLP 2024 Mini but Mighty: Finetuning ViTs With Mini Adapters WACV 2024 Minimum-Norm Interpolation Under Covariate Shift ICML 2024 MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations ICLR 2024 Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024 Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer EMNLP 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 Mixture of Experts Meets Prompt-Based Continual Learning NeurIPS 2024 Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024 Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NeurIPS 2024 Mixtures of Experts for Audio-Visual Learning NeurIPS 2024 MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024 MLRegTest: A Benchmark for the Machine Learning of Regular Languages JMLR 2024