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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
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2000
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Papers (including subtopics)

Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Pose Guided Person Image Generation NeurIPS 2017 Position-based Multiple-play Bandit Problem with Unknown Position Bias NeurIPS 2017 PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents ACL 2017 Positive unlabeled learning via wrapper-based adaptive sampling IJCAI 2017 Positive-Unlabeled Learning with Non-Negative Risk Estimator NeurIPS 2017 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017 Predicting the Quality of Short Narratives from Social Media IJCAI 2017 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017 Predicting Users’ Negative Feedbacks in Multi-Turn Human-Computer Dialogues IJCNLP 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017 Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017 Privileged Multi-label Learning IJCAI 2017 Probabilistic Temporal Subspace Clustering CVPR 2017 Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017 Progressive Neural Networks for Transfer Learning in Emotion Recognition Interspeech 2017 Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction IJCNLP 2017 Prosodic Event Recognition Using Convolutional Neural Networks with Context Information Interspeech 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Pulling Out the Stops: Rethinking Stopword Removal for Topic Models EACL 2017