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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)

SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization CVPR 2026 Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction L4DC 2026 SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense WACV 2026 Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions AAAI 2026 Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis L4DC 2026 SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks AAAI 2026 SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 SAIL: Self-supervised Learning of Lighting-Invariant Representations from Real Images with Latent Diffusion WACV 2026 Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation WACV 2026 SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning CVPR 2026 SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking AAAI 2026 SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026 SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data CVPR 2026 SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics AAAI 2026 Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model ALT 2026 Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees UAI 2026 Sample-Efficient Omniprediction for Proper Losses COLT 2026 Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction AAAI 2026 Sampling Control for Imbalanced Calibration in Semi-Supervised Learning AAAI 2026 Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery AAAI 2026 SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance WACV 2026 Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees L4DC 2026 Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction L4DC 2026 Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks AAAI 2026 Scalable Trajectory Generation for Whole-Body Mobile Manipulation CVPR 2026