Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014 Learning the Learning Rate for Prediction with Expert Advice NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Learning to Recognize Human Activities from Soft Labeled Data RSS 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning with Fredholm Kernels NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Linear Ranking Analysis CVPR 2014 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014 Local algorithms for interactive clustering ICML 2014 Localized Complexities for Transductive Learning COLT 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Marginal Structured SVM with Hidden Variables ICML 2014 MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation CVPR 2014