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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-Supervised Sparse Sensor Fusion for Long Range Perception ICCV 2025 Self-Supervised Spatial Correspondence Across Modalities CVPR 2025 Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction ICML 2025 Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025 Self-Taught Agentic Long Context Understanding ACL 2025 Self-Training Elicits Concise Reasoning in Large Language Models ACL 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 Self-Training Meets Consistency: Improving LLMs’ Reasoning with Consistency-Driven Rationale Evaluation NAACL 2025 Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching ACL 2025 Self-Vocabularizing Training for Neural Machine Translation NAACL 2025 SelKD: Selective Knowledge Distillation via Optimal Transport Perspective ICLR 2025 Semantic alignment in hyperbolic space for fine-grained emotion classification ACL 2025 Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios WACV 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025 Semantic Aware Representation Learning for Lifelong Learning ICLR 2025 Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text COLING 2025 Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models EMNLP 2025 Semantic Discrepancy-aware Detector for Image Forgery Identification ICCV 2025 Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering AAAI 2025 Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training ACL 2025 Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models ACL 2025 Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025 Semantic Masking in a Needle-in-a-haystack Test for Evaluating Large Language Model Long-Text Capabilities COLING 2025 Semantic Prompting with Image Token for Continual Learning WACV 2025 Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation WACV 2025