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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)

Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues AAAI 2021 Learning a Self-Expressive Network for Subspace Clustering CVPR 2021 Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval ICCV 2021 Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds NeurIPS 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations CoRL 2021 Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing L4DC 2021 Learning-based Support Estimation in Sublinear Time ICLR 2021 Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization ICCV 2021 Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021 Learning Bounds for Open-Set Learning ICML 2021 Learning Branching Heuristics for Propositional Model Counting AAAI 2021 Learning by Aligning Videos in Time CVPR 2021 Learning by Fixing: Solving Math Word Problems with Weak Supervision AAAI 2021 Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling CVPR 2021 Learning Class-Transductive Intent Representations for Zero-shot Intent Detection IJCAI 2021 Learning Complete 3D Morphable Face Models From Images and Videos CVPR 2021 Learning compositional structures for semantic graph parsing ACL 2021 Learning Comprehensive Motion Representation for Action Recognition AAAI 2021 Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora EMNLP 2021 Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training AAAI 2021 Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning EACL 2021 Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency ICLR 2021