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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)

Gradually Vanishing Bridge for Adversarial Domain Adaptation CVPR 2020 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning NeurIPS 2020 Graduate Employment Prediction with Bias AAAI 2020 Grammar Filtering for Syntax-Guided Synthesis AAAI 2020 Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency ACL 2020 Grammaticality and Language Modelling EMNLP 2020 Graph-based, Self-Supervised Program Repair from Diagnostic Feedback ICML 2020 Graph Contrastive Learning with Augmentations NeurIPS 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Graphical continuous Lyapunov models UAI 2020 Graph inference learning for semi-supervised classification ICLR 2020 Graph Information Bottleneck NeurIPS 2020 Graph Networks for Multiple Object Tracking WACV 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 Graph Policy Network for Transferable Active Learning on Graphs NeurIPS 2020 Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification AAAI 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs NeurIPS 2020 GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020 Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction EMNLP 2020 Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing AAAI 2020 Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack NeurIPS 2020 Group-Fair Online Allocation in Continuous Time NeurIPS 2020