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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)

Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Strategies for Pre-training Graph Neural Networks ICLR 2020 Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network AAAI 2020 StrawNet: Self-Training WaveNet for TTS in Low-Data Regimes Interspeech 2020 Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition Interspeech 2020 Streaming k-Submodular Maximization under Noise subject to Size Constraint ICML 2020 Strength from Weakness: Fast Learning Using Weak Supervision ICML 2020 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NeurIPS 2020 StructEdit: Learning Structural Shape Variations CVPR 2020 Structural and Functional Decomposition for Personality Image Captioning in a Communication Game EMNLP 2020 Structural Information Preserving for Graph-to-Text Generation ACL 2020 Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models EMNLP 2020 Structure-Aware Feature Fusion for Unsupervised Domain Adaptation AAAI 2020 Structure Aware Negative Sampling in Knowledge Graphs EMNLP 2020 Structured Attention for Unsupervised Dialogue Structure Induction EMNLP 2020 Structured Mechanical Models for Robot Learning and Control L4DC 2020 Structured Object-Aware Physics Prediction for Video Modeling and Planning ICLR 2020 Structured Prediction with Partial Labelling through the Infimum Loss ICML 2020 Structured Probabilistic End-to-End Learning from Crowds IJCAI 2020 Structure Learning for Approximate Solution of Many-Player Games AAAI 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020 Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction EMNLP 2020