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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NeurIPS 2016 Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop CVPR 2016 Fine-Grained Image Classification by Exploring Bipartite-Graph Labels CVPR 2016 Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities NeurIPS 2016 From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection CVPR 2016 Frustratingly Easy Neural Domain Adaptation COLING 2016 Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NeurIPS 2016 Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case JMLR 2016 Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016 Generalization and Exploration via Randomized Value Functions ICML 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 General Tensor Spectral Co-clustering for Higher-Order Data NeurIPS 2016 Generative Adversarial Imitation Learning NeurIPS 2016 GraB: Visual Saliency via Novel Graph Model and Background Priors CVPR 2016 Grammar induction from (lots of) words alone COLING 2016 Graph Clustering: Block-models and model free results NeurIPS 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Greedy Feature Construction NeurIPS 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 HAPPY Team Entry to NIST OpenSAD Challenge: A Fusion of Short-Term Unsupervised and Segment i-Vector Based Speech Activity Detectors Interspeech 2016 Hardness of Online Sleeping Combinatorial Optimization Problems NeurIPS 2016 Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016 Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016 Head Motion Generation with Synthetic Speech: A Data Driven Approach Interspeech 2016 Heteroscedastic Sequences: Beyond Gaussianity ICML 2016