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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)

Generalizability of Media Frames: Corpus creation and analysis across countries EMNLP 2025 Generalizable Object Keypoint Localization from Generative Priors CVPR 2025 Generalizable Object Re-Identification via Visual In-Context Prompting ICCV 2025 Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning AAAI 2025 Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025 Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings ICML 2025 Generalization Bounds for Dependent Data using Online-to-Batch Conversion. AISTATS 2025 Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection ICCV 2025 Generalized Behavior Learning from Diverse Demonstrations ICLR 2025 Generalized Class Discovery in Instance Segmentation AAAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025 Generalized Criterion for Identifiability of Additive Noise Models Using Majorization AISTATS 2025 Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval AAAI 2025 Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence ICCV 2025 Generalized Embedding Models for Industry 4.0 Applications EMNLP 2025 Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model CVPR 2025 Generalized Principal-Agent Problem with a Learning Agent ICLR 2025 Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise CVPR 2025 Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025 Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation CVPR 2025 Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration AAAI 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025 Generalizing Constraint Models in Constraint Acquisition AAAI 2025 Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning CVPR 2025 General Scene Adaptation for Vision-and-Language Navigation ICLR 2025