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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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220
477
4,652
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2000
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Papers (including subtopics)

Incomplete Attribute Learning with auxiliary labels IJCAI 2017 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Increasing Recall of Lengthening Detection via Semi-Automatic Classification Interspeech 2017 Incremental Kernel Null Space Discriminant Analysis for Novelty Detection CVPR 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017 Incremental Skip-gram Model with Negative Sampling EMNLP 2017 Independence clustering (without a matrix) NeurIPS 2017 Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework IJCNLP 2017 Inferring Generative Model Structure with Static Analysis NeurIPS 2017 Inferring Stance from Prosody Interspeech 2017 Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines SemEval 2017 Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017 Instance Specific Discriminative Modal Pursuit: A Serialized Approach ACML 2017 Instance Weighting for Neural Machine Translation Domain Adaptation EMNLP 2017 Intention-Aware Motion Planning Using Learning Based Human Motion Prediction RSS 2017 Interaction-based ontology alignment repair with expansion and relaxation IJCAI 2017 Interactive Attention Networks for Aspect-Level Sentiment Classification IJCAI 2017 Interactive Learning from Policy-Dependent Human Feedback ICML 2017 Interactive Submodular Bandit NeurIPS 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NeurIPS 2017 Investigating Scalability in Hierarchical Language Identification System Interspeech 2017 Is the Bellman residual a bad proxy? NeurIPS 2017