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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)

Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding EMNLP 2023 MEDIC: Remove Model Backdoors via Importance Driven Cloning CVPR 2023 Mega: Moving Average Equipped Gated Attention ICLR 2023 MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition AAAI 2023 Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023 Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023 Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization NeurIPS 2023 MetaCLUE: Towards Comprehensive Visual Metaphors Research CVPR 2023 Meta Compositional Referring Expression Segmentation CVPR 2023 Metadata-Based RAW Reconstruction via Implicit Neural Functions CVPR 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection CVPR 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Meta-Learning Online Adaptation of Language Models EMNLP 2023 Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning ICLR 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation CVPR 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition EMNLP 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023 Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023