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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

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Decrypting “Cryptogenic” Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients JMLR 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data CVPR 2016 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016 Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016 DeepMath - Deep Sequence Models for Premise Selection NeurIPS 2016 Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information Interspeech 2016 Deep Region and Multi-Label Learning for Facial Action Unit Detection CVPR 2016 Deep Stacked Autoencoders for Spoken Language Understanding Interspeech 2016 Deep Structured Energy Based Models for Anomaly Detection ICML 2016 Deep Structured Scene Parsing by Learning With Image Descriptions CVPR 2016 Defining Emotionally Salient Regions Using Qualitative Agreement Method Interspeech 2016 Density Estimation via Discrepancy Based Adaptive Sequential Partition NeurIPS 2016 Designing smoothing functions for improved worst-case competitive ratio in online optimization NeurIPS 2016 Detecting Repeating Objects Using Patch Correlation Analysis CVPR 2016 Dialog-based Language Learning NeurIPS 2016 Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network COLING 2016 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016 Direct Expressive Voice Training Based on Semantic Selection Interspeech 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016 Discriminative Layered Nonnegative Matrix Factorization for Speech Separation Interspeech 2016 Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016 Disentangling factors of variation in deep representation using adversarial training NeurIPS 2016 Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016 Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016