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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)

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models EMNLP 2024 Self-training Language Models for Arithmetic Reasoning EMNLP 2024 Self-Training Large Language and Vision Assistant for Medical Question Answering EMNLP 2024 Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024 Self-training Large Language Models through Knowledge Detection EMNLP 2024 Self-training Strategies for Sentiment Analysis: An Empirical Study EACL 2024 Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning ACL 2024 Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction ACL 2024 SelfVC: Voice Conversion With Iterative Refinement using Self Transformations ICML 2024 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data NeurIPS 2024 SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios Interspeech 2024 Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer CVPR 2024 Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning AAAI 2024 Semantic-Aware Multi-Label Adversarial Attacks CVPR 2024 Semantic-aware SAM for Point-Prompted Instance Segmentation CVPR 2024 Semantic-Aware Video Representation for Few-Shot Action Recognition WACV 2024 Semantic-based NLP techniques discriminate schizophrenia and Wernicke’s aphasia based on spontaneous speech COLING 2024 Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval NeurIPS 2024 Semantic Fusion Augmentation and Semantic Boundary Detection: A Novel Approach to Multi-Target Video Moment Retrieval WACV 2024 Semantic Generative Augmentations for Few-Shot Counting WACV 2024 Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification AAAI 2024 Semantic-Guided Novel Category Discovery AAAI 2024 Semantic Human Mesh Reconstruction with Textures CVPR 2024 SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024 Semantic-Preserving Adversarial Example Attack against BERT NAACL 2024