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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)

Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations ICML 2024 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training ICLR 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024 Considering Human Interaction and Variability in Automatic Text Simplification EMNLP 2024 ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models ACL 2024 Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024 Consistency-GAN: Training GANs with Consistency Model AAAI 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 Consistency of Dictionary-Based Manifold Learning AISTATS 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching UAI 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024 Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Consistent Autoformalization for Constructing Mathematical Libraries EMNLP 2024 Consistent Document-level Relation Extraction via Counterfactuals EMNLP 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 Consistent Multi-Class Classification from Multiple Unlabeled Datasets ICLR 2024 Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024 Consistent Prompting for Rehearsal-Free Continual Learning CVPR 2024 ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context AAAI 2024 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024