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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)

DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise AAAI 2025 Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking AAAI 2025 Decoupled Subgraph Federated Learning ICLR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease AAAI 2025 DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders CVPR 2025 Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models EMNLP 2025 DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization L4DC 2025 DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries IJCAI 2025 Deep Generative Model for Mechanical System Configuration Design AAAI 2025 Deep Graph Online Hashing for Multi-Label Image Retrieval AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings AAAI 2025 Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance ICCV 2025 DeepLayout: Learning Neural Representations of Circuit Placement Layout ICML 2025 Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025 Deep Metric Learning for Unsupervised Remote Sensing Change Detection WACV 2025 DeepMIM: Deep Supervision for Masked Image Modeling WACV 2025 Deep Multi-modal Graph Clustering via Graph Transformer Network AAAI 2025 Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025 Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators IJCAI 2025