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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)

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Sample Selection with Uncertainty of Losses for Learning with Noisy Labels ICLR 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NeurIPS 2022 SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning COLING 2022 SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech Interspeech 2022 Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection EMNLP 2022 SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System Interspeech 2022 SAS: Self-Augmentation Strategy for Language Model Pre-training AAAI 2022 SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training EMNLP 2022 SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery NeurIPS 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022 Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022 Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring NeurIPS 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NeurIPS 2022 Scalable Infomin Learning NeurIPS 2022 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels CVPR 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition Interspeech 2022 Scale-Equivalent Distillation for Semi-Supervised Object Detection CVPR 2022 Scale-Free Adversarial Multi Armed Bandits ALT 2022 Scale-free Unconstrained Online Learning for Curved Losses COLT 2022 Scaling ASR Improves Zero and Few Shot Learning Interspeech 2022