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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection CVPR 2026 Defending Unauthorized Model Merging via Dual-Stage Weight Protection CVPR 2026 Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation CVPR 2026 Degradation-Consistent Test-Time Adaptation for All-in-One Image Restoration CVPR 2026 Demystifying Data Organization for Enhanced LLM Training ACL 2026 Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation CVPR 2026 Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors CVPR 2026 Depth Any Endoscopy: Towards Self-Supervised Generalizable Depth Estimation in Monocular Endoscopy CVPR 2026 Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage CVPR 2026 Designing to Forget: Deep Semi-parametric Models for Unlearning CVPR 2026 Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models CVPR 2026 DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning CVPR 2026 DetAny4D: Detect Anything 4D Temporally in a Streaming RGB Video CVPR 2026 Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification CVPR 2026 Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization MIDL 2026 DEVA: Fine-tuning Multimodal Large Language Models for Visual Perception Tasks CVPR 2026 DF^2-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification CVPR 2026 DFD-HR: Generalizable Deepfake Detection via Hierarchical Routing Learning CVPR 2026 DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning CVPR 2026 DialoGen: Towards Dialog Gesture Generation via Identity-Decoupled Style Guidance in Interactive Diffusion Model AAAI 2026 Diff4TST: Masked Diffusion Language Model for Text Style Transfer ACL 2026 Difference in Task Performance on Sparse Speech Representations ACL 2026 Differentiable Filtering for Learning Hidden Markov Models L4DC 2026 Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression CVPR 2026