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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)

Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023 CoSiNES: Contrastive Siamese Network for Entity Standardization ACL 2023 COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning AAAI 2023 Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards CVPR 2023 Cost-effective Distillation of Large Language Models ACL 2023 Co-Training 2L Submodels for Visual Recognition CVPR 2023 Co-training and Co-distillation for Quality Improvement and Compression of Language Models EMNLP 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification EMNLP 2023 Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023 Counterfactual Debiasing for Fact Verification ACL 2023 Counterfactual Memorization in Neural Language Models NeurIPS 2023 Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias ACL 2023 Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors ACL 2023 Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation ACL 2023 Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI) EMNLP 2023 Counting Crowds in Bad Weather ICCV 2023 Coupled Multiwavelet Operator Learning for Coupled Differential Equations ICLR 2023 Coverage-based Example Selection for In-Context Learning EMNLP 2023 CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation CVPR 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability CVPR 2023 Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning AAAI 2023 CREST: A Joint Framework for Rationalization and Counterfactual Text Generation ACL 2023 CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability CVPR 2023 CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame AAAI 2023