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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)

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation ICML 2024 Weakly Supervised Semantic Segmentation for Driving Scenes AAAI 2024 Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature AAAI 2024 Weakly Supervised Video Individual Counting CVPR 2024 Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images ICLR 2024 WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection AAAI 2024 Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024 Weak Supervision Performance Evaluation via Partial Identification NeurIPS 2024 Weak-to-Strong 3D Object Detection with X-Ray Distillation CVPR 2024 Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision ICML 2024 Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024 Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SemEval 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NeurIPS 2024 WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts NeurIPS 2024 Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning SemEval 2024 W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification Interspeech 2024 What are the Generator Preferences for End-to-end Task-Oriented Dialog System? EMNLP 2024 What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024 What Are the Rules? Discovering Constraints from Data AAAI 2024 What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection ACL 2024 What Do Language Models Hear? Probing for Auditory Representations in Language Models ACL 2024