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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)

Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model CVPR 2025 Incomplete Multi-view Clustering via Diffusion Contrastive Generation AAAI 2025 Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal AAAI 2025 Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding CVPR 2025 Inconsistency-Based Federated Active Learning IJCAI 2025 In-context Continual Learning Assisted by an External Continual Learner COLING 2025 In-Context Iterative Policy Improvement for Dynamic Manipulation CoRL 2025 In-Context Learning (and Unlearning) of Length Biases NAACL 2025 In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties EMNLP 2025 In-context Learning Demonstration Generation with Text Distillation IJCAI 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025 In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025 In-Context Meta LoRA Generation IJCAI 2025 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025 In-context Time Series Predictor ICLR 2025 Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models CVPR 2025 Incorporating Review-missing Interactions for Generative Explainable Recommendation COLING 2025 Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits WACV 2025 Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training ACL 2025 Incremental Nyström-based Multiple Kernel Clustering AAAI 2025 Incremental Object Keypoint Learning CVPR 2025 Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention AISTATS 2025