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)

Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Efficiency of conformalized ridge regression COLT 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 Efficient Boosted Exemplar-based Face Detection CVPR 2014 Efficient Label Propagation ICML 2014 Efficient learning by implicit exploration in bandit problems with side observations NeurIPS 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Efficient Occlusive Components Analysis JMLR 2014 Efficient Partial Monitoring with Prior Information NeurIPS 2014 Efficient Sample Mining for Object Detection ACML 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Ensembles for Time Series Forecasting ACML 2014 Estimation with Norm Regularization NeurIPS 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014