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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)

Confidence Estimation Using Unlabeled Data ICLR 2023 Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation CVPR 2023 Conflicting Interactions among Protection Mechanisms for Machine Learning Models AAAI 2023 Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing ACL 2023 ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing WACV 2023 Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023 Conformalization of Sparse Generalized Linear Models ICML 2023 Conformalized Unconditional Quantile Regression AISTATS 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Conformal Off-Policy Prediction AISTATS 2023 Conformal PID Control for Time Series Prediction NeurIPS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Conformal Prediction Sets for Graph Neural Networks ICML 2023 Conformal Prediction Sets for Ordinal Classification NeurIPS 2023 Conformal Prediction with Missing Values ICML 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset EMNLP 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination ACL 2023 ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis ACL 2023 CoNMix for Source-Free Single and Multi-Target Domain Adaptation WACV 2023 Connecting Certified and Adversarial Training NeurIPS 2023 Connecting Multi-modal Contrastive Representations NeurIPS 2023 Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data AISTATS 2023 ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023