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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)

Parameterized Prompt for Incremental Object Detection CVPR 2026 Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement ACL 2026 ParaUni: Enhance Generation in Unified Multimodal Model with Reinforcement-driven Hierarchical Parallel Information Interaction CVPR 2026 PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning ACL 2026 Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial Memory CVPR 2026 Partial Weakly-Supervised Oriented Object Detection CVPR 2026 ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis CVPR 2026 PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling ACL 2026 PCA-Seg: Revisiting Cost Aggregation for Open-Vocabulary Semantic and Part Segmentation CVPR 2026 P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026 PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection CVPR 2026 PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference ACL 2026 PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval WACV 2026 PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation CVPR 2026 PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models ACL 2026 Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training ACL 2026 Personalized Image Descriptions from Attention Sequences CVPR 2026 Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026 Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training CVPR 2026 PEU Lab at SemEval-2026 Task 4: Pairwise Text Comparison using RoBERTa and Ranking Loss SemEval 2026 PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning CVPR 2026 PGA: Prior-free Generative Attack for Practical No-box Scenario CVPR 2026 PG-BIG: Personalized Guidance for Biomechanically Informed Generative Models in Exercise Science L4DC 2026 PG-VTON: Single-Pass Training-Free Virtual Try-On via Patch-Guided Reference Alignment CVPR 2026