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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)

Keystroke dynamics as signal for shallow syntactic parsing COLING 2016 k*-Nearest Neighbors: From Global to Local NeurIPS 2016 Kronecker Determinantal Point Processes NeurIPS 2016 Label Embedding for Zero-shot Fine-grained Named Entity Typing COLING 2016 Language Adaptive DNNs for Improved Low Resource Speech Recognition Interspeech 2016 Language Independent Dependency to Constituent Tree Conversion COLING 2016 Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions Interspeech 2016 Language Recognition via Sparse Coding Interspeech 2016 Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016 Large Scale Online Kernel Learning JMLR 2016 Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016 Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Latent Topic Embedding COLING 2016 Learning Algorithms for Second-Price Auctions with Reserve JMLR 2016 Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016 Learning Bayesian networks with ancestral constraints NeurIPS 2016 Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks CVPR 2016 Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation CVPR 2016 Learning Deep Features for Discriminative Localization CVPR 2016 Learning Deep Parsimonious Representations NeurIPS 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016