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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)

Contrastive Regression for Domain Adaptation on Gaze Estimation CVPR 2022 Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities NAACL 2022 Contrastive Test-Time Adaptation CVPR 2022 Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning ICML 2022 Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations ACL 2022 ContrastMask: Contrastive Learning To Segment Every Thing CVPR 2022 Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Controllable Dynamic Multi-Task Architectures CVPR 2022 Controllable Fake Document Infilling for Cyber Deception EMNLP 2022 Controllable Natural Language Generation with Contrastive Prefixes ACL 2022 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022 Controlling for Stereotypes in Multimodal Language Model Evaluation EMNLP 2022 Controlling Japanese Machine Translation Output by Using JLPT Vocabulary Levels EMNLP 2022 Control Prefixes for Parameter-Efficient Text Generation EMNLP 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 Convergent and Efficient Deep Q Learning Algorithm ICLR 2022 Convergent Representations of Computer Programs in Human and Artificial Neural Networks NeurIPS 2022 Conversation- and Tree-Structure Losses for Dialogue Disentanglement ACL 2022 Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022 Cooperative Distribution Alignment via JSD Upper Bound NeurIPS 2022 Coordinated Topic Modeling EMNLP 2022 COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition COLING 2022 Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach AAAI 2022