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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)

DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles CVPR 2026 Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation ACL 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented Data ACL 2026 DecIF: Improving Instruction-Following through Decomposition ACL 2026 Decision Boundary-aware Generation for Long-tailed Learning CVPR 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection CVPR 2026 Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression CVPR 2026 Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer CVPR 2026 Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning CVPR 2026 Decouple Your Discovery and Memory in Continual Generalized Category Discovery CVPR 2026 Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection CVPR 2026 Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models ACL 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 Decoupling Vision and Language: Codebook Anchored Visual Adaptation CVPR 2026 Deepfake Detection that Generalizes Across Benchmarks WACV 2026 Deep Feature Deformation Weights CVPR 2026 deepgpt at SemEval-2026 Task 1: A Chinese Humor Generation System via Instruction-Masked QLoRA and Reverse Constraint Data Mixing SemEval 2026 DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation ACL 2026 Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging MIDL 2026 Deep Learning for Liver Disease Stratification: Findings from UKBB MRI MIDL 2026 Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean ACL 2026