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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)

SAGE: A Generic Framework for LLM Safety Evaluation EMNLP 2025 SAIL: Sample-Centric In-Context Learning for Document Information Extraction AAAI 2025 SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining CVPR 2025 SAKI-RAG: Mitigating Context Fragmentation in Long-Document RAG via Sentence-level Attention Knowledge Integration EMNLP 2025 SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data NAACL 2025 SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing CVPR 2025 SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning EMNLP 2025 Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control ICCV 2025 Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning AAAI 2025 Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs CVPR 2025 SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning UAI 2025 SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation AAAI 2025 SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures ICCV 2025 Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness EMNLP 2025 SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation WACV 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images ICCV 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Sample Compression Scheme Reductions ALT 2025 Sample-Efficient Behavior Cloning Using General Domain Knowledge IJCAI 2025 Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition ICCV 2025 Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025