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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023 Machine Translation of Omani Arabic Dialect from Social Media EMNLP 2023 MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition CVPR 2023 MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning AAAI 2023 MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023 MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier AAAI 2023 MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery CVPR 2023 MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations EMNLP 2023 MAGVLT: Masked Generative Vision-and-Language Transformer CVPR 2023 Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models ICML 2023 Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation NeurIPS 2023 Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation ACL 2023 Making Language Models Better Reasoners with Step-Aware Verifier ACL 2023 Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios ACL 2023 Making Scalable Meta Learning Practical NeurIPS 2023 ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning ACL 2023 Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features Interspeech 2023 Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 2023 Manipulating Transfer Learning for Property Inference CVPR 2023 MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023 Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification SemEval 2023 MaPLe: Multi-Modal Prompt Learning CVPR 2023 MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model CVPR 2023 Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023 Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer CVPR 2023