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)

Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 COSTA: Co-Occurrence Statistics for Zero-Shot Classification CVPR 2014 Cross-view Action Modeling, Learning and Recognition CVPR 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Decontamination of Mutually Contaminated Models AISTATS 2014 Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Deep AutoRegressive Networks ICML 2014 Deep Boosting ICML 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NeurIPS 2014 Deep Joint Task Learning for Generic Object Extraction NeurIPS 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 Demystifying Information-Theoretic Clustering ICML 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting CVPR 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014 Discrete Chebyshev Classifiers ICML 2014 Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014 Distribution-independent Reliable Learning COLT 2014 Diverse Randomized Agents Vote to Win NeurIPS 2014