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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)

Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023 CoSiNES: Contrastive Siamese Network for Entity Standardization ACL 2023 COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning AAAI 2023 Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards CVPR 2023 CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network EMNLP 2023 Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification EMNLP 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023 Counterfactual Debiasing for Fact Verification ACL 2023 Counterfactual Learning with General Data-Generating Policies AAAI 2023 Counterfactually Comparing Abstaining Classifiers NeurIPS 2023 Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios ACL 2023 Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation ACL 2023 Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text ACL 2023 CoVariance-based Causal Debiasing for Entity and Relation Extraction EMNLP 2023 Covariate balancing using the integral probability metric for causal inference ICML 2023 Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE AISTATS 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Coverage-based Example Selection for In-Context Learning EMNLP 2023 Coverage-centric Coreset Selection for High Pruning Rates ICLR 2023 CovRelex-SE: Adding Semantic Information for Relation Search via Sequence Embedding EACL 2023 CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation CVPR 2023 CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation ICCV 2023