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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)

Learning Local Displacements for Point Cloud Completion CVPR 2022 Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation CVPR 2022 Learning low-dimensional generalizable natural features from retina using a U-net NeurIPS 2022 Learning Manifold Dimensions with Conditional Variational Autoencoders NeurIPS 2022 Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving AAAI 2022 Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022 Learning more skills through optimistic exploration ICLR 2022 Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans From a Single Camera CVPR 2022 Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model CVPR 2022 Learning Multiscale Transformer Models for Sequence Generation ICML 2022 Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation CVPR 2022 Learning neural audio features without supervision Interspeech 2022 Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization ACL 2022 Learning Partial Equivariances From Data NeurIPS 2022 Learning Pixel Trajectories With Multiscale Contrastive Random Walks CVPR 2022 Learning Program Representations for Food Images and Cooking Recipes CVPR 2022 Learning Prototype via Placeholder for Zero-shot Recognition IJCAI 2022 Learning Quality-Aware Representation for Multi-Person Pose Regression AAAI 2022 Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract) IJCAI 2022 Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning NeurIPS 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation EMNLP 2022 Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences NeurIPS 2022 Learning sparse features can lead to overfitting in neural networks NeurIPS 2022 Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata CVPR 2022