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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)

Deep Active Learning with Adaptive Acquisition IJCAI 2019 Deep Active Learning with a Neural Architecture Search NeurIPS 2019 Deep Adversarial Learning for NLP NAACL 2019 Deep Adversarial Multi-view Clustering Network IJCAI 2019 Deep Adversarial Social Recommendation IJCAI 2019 Deep Anomaly Detection with Outlier Exposure ICLR 2019 Deep Appearance Maps ICCV 2019 Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation Interspeech 2019 Deep Bidirectional Transformers for Relation Extraction without Supervision EMNLP 2019 Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019 Deep Comprehensive Correlation Mining for Image Clustering ICCV 2019 Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification IJCAI 2019 Deep Dominance - How to Properly Compare Deep Neural Models ACL 2019 Deep Embedding Learning With Discriminative Sampling Policy CVPR 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep Exemplar-Based Video Colorization CVPR 2019 DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature EMNLP 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 Deep Graph Infomax ICLR 2019 Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces ICCV 2019 Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data AAAI 2019 Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019 DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks IJCAI 2019 Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval ICCV 2019