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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)

Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras CVPR 2016 Domain Separation Networks NeurIPS 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 Dynamic Filter Networks NeurIPS 2016 Dynamic Image Networks for Action Recognition CVPR 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Echo State Hoeffding Tree Learning ACML 2016 EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator ACML 2016 Efficient 3D Room Shape Recovery From a Single Panorama CVPR 2016 Efficient Deep Learning for Stereo Matching CVPR 2016 Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation CVPR 2016 Embedding Label Structures for Fine-Grained Feature Representation CVPR 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation CVPR 2016 End-To-End People Detection in Crowded Scenes CVPR 2016 End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016 Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016 Exemplar-Driven Top-Down Saliency Detection via Deep Association CVPR 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition CVPR 2016 Exponential Family Embeddings NeurIPS 2016 F0Contour Analysis Based on Empirical Mode Decomposition for DNN Acoustic Modeling in Mandarin Speech Recognition Interspeech 2016 Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions Interspeech 2016 Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution CVPR 2016 Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction CVPR 2016 Fast Gated Neural Domain Adaptation: Language Model as a Case Study COLING 2016