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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)

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation WACV 2026 AnchorHOI: Zero-shot Generation of 4D Human-Object Interaction via Anchor-based Prior Distillation AAAI 2026 A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation AAAI 2026 Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2026 An improved Code-Switching Detection System for some Indic Languages EACL 2026 An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs CoNLL 2026 Annotation-Efficient Coreset Selection for Context-dependent Segmentation CVPR 2026 Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation AAAI 2026 An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning CVPR 2026 AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer AAAI 2026 A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis WACV 2026 Anti-adversarial Learning: Desensitizing Prompts for Large Language Model AAAI 2026 AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs AAAI 2026 AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM WACV 2026 Any Detector Can Detect Anything WACV 2026 AnyID: Ultra-Fidelity Universal Identity-Preserving Video Generation from Any Visual References CVPR 2026 Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing AAAI 2026 A Perfectly Truthful Calibration Measure COLT 2026 APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 Appearance Discrepancy-guided Sequence Hybrid Masking for Robust Scene Text Recognition AAAI 2026 Approximating Nash Equilibria in Finite-Horizon Multi-Adversarial Team Markov Games UAI 2026 Approximation-Free Differentiable Oblique Decision Trees JMLR 2026 Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria JMLR 2026 A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis MIDL 2026 A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI 2026