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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)

CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER EMNLP 2023 CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023 CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning ACL 2023 CAT: Closed-loop Adversarial Training for Safe End-to-End Driving CoRL 2023 Categorial grammar induction from raw data ACL 2023 Category-aware Allocation Transformer for Weakly Supervised Object Localization ICCV 2023 Category Query Learning for Human-Object Interaction Classification CVPR 2023 CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection CVPR 2023 Causal Confusion and Reward Misidentification in Preference-Based Reward Learning ICLR 2023 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023 Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NeurIPS 2023 CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023 Causal discovery from observational and interventional data across multiple environments NeurIPS 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 Causal Effect Identification in Cluster DAGs AAAI 2023 Causal Effect Identification in Uncertain Causal Networks NeurIPS 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations NeurIPS 2023 Causal Entropy Optimization AISTATS 2023 Causal Imitability Under Context-Specific Independence Relations NeurIPS 2023 Causal Imitation Learning via Inverse Reinforcement Learning ICLR 2023 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023 Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection ACL 2023