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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)

Decoupling Shape and Texture in SAM-2 via Controlled Texture Replacement WACV 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning AAAI 2026 Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint AAAI 2026 Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026 DeepSemantics at SemEval-2026 Task 9: Label-Wise Optimization with Adaptive Focal Loss for Polarization Manifestation Identification SemEval 2026 DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026 Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos AAAI 2026 Defenses Against Prompt Attacks Learn Surface Heuristics ACL 2026 Defensive Generation COLT 2026 DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics AAAI 2026 DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination AAAI 2026 DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning AAAI 2026 Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs EACL 2026 Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations ACL 2026 DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation AAAI 2026 Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment AAAI 2026 Designing to Forget: Deep Semi-parametric Models for Unlearning CVPR 2026 De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition AAAI 2026 Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception AAAI 2026 Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark EACL 2026 Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026 Detecting (Un)answerability in Large Language Models with Linear Directions EACL 2026