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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)

Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021 Co-Attention for Conditioned Image Matching CVPR 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation ICLR 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021 CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding ICLR 2021 Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ACL 2021 CoDERT: Distilling Encoder Representations with Co-Learning for Transducer-Based Speech Recognition Interspeech 2021 CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals ACL 2021 Collaborative Group Learning AAAI 2021 Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer EMNLP 2021 Collaborative Training of Acoustic Encoders for Speech Recognition Interspeech 2021 Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021 ColorRL: Reinforced Coloring for End-to-End Instance Segmentation CVPR 2021 Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach NeurIPS 2021 Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation EMNLP 2021 Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering EMNLP 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem AAAI 2021 Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings CVPR 2021 (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs AAAI 2021 Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization CVPR 2021 Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021 COMISR: Compression-Informed Video Super-Resolution ICCV 2021