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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)

Learning Speaker Embedding from Text-to-Speech Interspeech 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020 Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020 Learning Student Networks with Few Data AAAI 2020 Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020 Learning Temporal Co-Attention Models for Unsupervised Video Action Localization CVPR 2020 Learning the model-free linear quadratic regulator via random search L4DC 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 Learning the Valuations of a k-demand Agent ICML 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020 Learning to Adapt to Evolving Domains NeurIPS 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Learning to Cartoonize Using White-Box Cartoon Representations CVPR 2020 Learning to Classify Events from Human Needs Category Descriptions EMNLP 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020 Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews Interspeech 2020 Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection CVPR 2020 Learning to Discretely Compose Reasoning Module Networks for Video Captioning IJCAI 2020 Learning to Generalize for Sequential Decision Making EMNLP 2020 Learning to ground medical text in a 3D human atlas CoNLL 2020