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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)

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection ACL 2019 Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns ACL 2019 Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach ICCV 2019 Construction and Annotation of the Jordan Comprehensive Contemporary Arabic Corpus (JCCA) ACL 2019 Content-Aware Multi-Level Guidance for Interactive Instance Segmentation CVPR 2019 Context and Attribute Grounded Dense Captioning CVPR 2019 Context-Aware Emotion Recognition Networks ICCV 2019 Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data ICCV 2019 Context-Aware Monolingual Repair for Neural Machine Translation EMNLP 2019 Context-Aware Zero-Shot Learning for Object Recognition ICML 2019 Context Dependent Semantic Parsing over Temporally Structured Data NAACL 2019 Context is Key: Grammatical Error Detection with Contextual Word Representations ACL 2019 Contextual Bandits with Cross-Learning NeurIPS 2019 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019 Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources CoNLL 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Contextual Recovery of Out-of-Lattice Named Entities in Automatic Speech Recognition Interspeech 2019 Contingency-Aware Exploration in Reinforcement Learning ICLR 2019 Continual and Multi-Task Architecture Search ACL 2019 Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019 Continual Learning for Sentence Representations Using Conceptors NAACL 2019 Continual Unsupervised Representation Learning NeurIPS 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Continuous Emotion Recognition in Speech — Do We Need Recurrence? Interspeech 2019 Continuous Learning for Large-scale Personalized Domain Classification NAACL 2019