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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)

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NeurIPS 2023 Scaling Language-Image Pre-Training via Masking CVPR 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 Scaling Laws for Generative Mixed-Modal Language Models ICML 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling of Class-wise Training Losses for Post-hoc Calibration ICML 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023 Scaling Up Probabilistic Circuits by Latent Variable Distillation ICLR 2023 ScarceNet: Animal Pose Estimation With Scarce Annotations CVPR 2023 SceneComposer: Any-Level Semantic Image Synthesis CVPR 2023 Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension EMNLP 2023 Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision AAAI 2023 SceneScape: Text-Driven Consistent Scene Generation NeurIPS 2023 SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text CVPR 2023 Schema-adaptable Knowledge Graph Construction EMNLP 2023 Schema-learning and rebinding as mechanisms of in-context learning and emergence NeurIPS 2023 SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data AAAI 2023 SCoDA: Domain Adaptive Shape Completion for Real Scans CVPR 2023 SCoMoE: Efficient Mixtures of Experts with Structured Communication ICLR 2023 SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow CVPR 2023 Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays ACL 2023 SCOTCH and SODA: A Transformer Video Shadow Detection Framework CVPR 2023 SCOTT: Self-Consistent Chain-of-Thought Distillation ACL 2023 SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks Interspeech 2023 Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization AAAI 2023