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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Semantic Role Labeling Guided Out-of-distribution Detection COLING 2024 Semantic Routing via Autoregressive Modeling NeurIPS 2024 Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention AAAI 2024 Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models EACL 2024 Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment CVPR 2024 Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024 Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers EMNLP 2024 SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs WACV 2024 SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning NeurIPS 2024 SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense SemEval 2024 Semi-Automatic Topic Discovery and Classification for Epidemic Intelligence via Large Language Models COLING 2024 Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph NeurIPS 2024 Semiparametric Token-Sequence Co-Supervision ACL 2024 SemiReward: A General Reward Model for Semi-supervised Learning ICLR 2024 Semi-supervised 3D Object Detection with PatchTeacher and PillarMix AAAI 2024 Semi-supervised Active Learning for Video Action Detection AAAI 2024 Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning AAAI 2024 Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix AAAI 2024 Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection NAACL 2024 Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data ALT 2024 Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024 Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NeurIPS 2024 Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images MIDL 2024 Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss NeurIPS 2024