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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)

FDA: Fourier Domain Adaptation for Semantic Segmentation CVPR 2020 FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing AAAI 2020 FDN: Feature Decoupling Network for Head Pose Estimation AAAI 2020 Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP 2020 Feature Deformation Meta-Networks in Image Captioning of Novel Objects AAAI 2020 Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations MIDL 2020 FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation CVPR 2020 Feature Importance Ranking for Deep Learning NeurIPS 2020 Feature Projection for Improved Text Classification ACL 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020 Federated Learning for Vision-and-Language Grounding Problems AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 Feedback-Based Self-Learning in Large-Scale Conversational AI Agents AAAI 2020 FELIX: Flexible Text Editing Through Tagging and Insertion EMNLP 2020 FERNet: Fine-grained Extraction and Reasoning Network for Emotion Recognition in Dialogues AACL 2020 FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020 Few-Cost Salient Object Detection with Adversarial-Paced Learning NeurIPS 2020 Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NeurIPS 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few-Shot Class-Incremental Learning CVPR 2020 Few-shot Image Generation with Elastic Weight Consolidation NeurIPS 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Learning for Opinion Summarization EMNLP 2020 Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020 Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020