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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)

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020 PointGMM: A Neural GMM Network for Point Clouds CVPR 2020 Point process models for sequence detection in high-dimensional neural spike trains NeurIPS 2020 Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model EMNLP 2020 Pointwise Paraphrase Appraisal is Potentially Problematic ACL 2020 Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020 Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates ICML 2020 Policy Improvement via Imitation of Multiple Oracles NeurIPS 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 Polishing Decision-Based Adversarial Noise With a Customized Sampling CVPR 2020 Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection Interspeech 2020 Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring ICLR 2020 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NeurIPS 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020 Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020 Positive-Unlabeled Reward Learning CoRL 2020 POSTECH Submission on Duolingo Shared Task ACL 2020 Posterior Calibrated Training on Sentence Classification Tasks ACL 2020 Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network AAAI 2020 Posterior-Guided Neural Architecture Search AAAI 2020 Posterior Re-calibration for Imbalanced Datasets NeurIPS 2020 Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020 Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes WACV 2020