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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)

Transfer Conformal Predictive Inference for Regression JMLR 2026 TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026 Transparent Semantic Change Detection with Dependency-Based Profiles EACL 2026 T-Rex-Omni: Integrating Negative Visual Prompt in Generic Object Detection AAAI 2026 TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection AAAI 2026 Truly Adapting to Adversarial Constraints in Constrained MABs COLT 2026 Trust-calibrated Collaborative Learning for Long-Tailed Visual Recognition CVPR 2026 Trusted Multi-view Learning for Long-tailed Classification AAAI 2026 TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation AAAI 2026 Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026 TS-PCI: Point Cloud Frame Interpolation with Time-Aware Point Cloud Sampling and Self-Supervised Learning Strategy WACV 2026 TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding AAAI 2026 Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026 Turning Pre-Trained Vision Transformers into End-to-End Histopathology Whole Slide Image Models for Survival Prediction CVPR 2026 TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models AAAI 2026 TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning AAAI 2026 TWiST: Temporal Weakly-Supervised Triplets Recognition in Surgical Videos (Student Abstract) AAAI 2026 UAlberta at SemEval-2026 Task 5: Disambiguating Stories via Task Decomposition SemEval 2026 uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data AAAI 2026 UCSC-NLP at SemEval-2026 Task 13: Multi-View Generalization and Diagnostic Analysis of Machine-Generated Code Detection SemEval 2026 UDCH: Unsupervised Dynamic Weighted Cluster-cooperative Hashing for Cross-modal Retreival AAAI 2026 UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks WACV 2026 Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models CVPR 2026 Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026 Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026