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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)

Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce ACL 2026 Progressive Mask Distillation for Self-supervised Video Representation CVPR 2026 Progressive Multi-cue Alignment for Unaligned RGBT Tracking CVPR 2026 Progressive Neural Architecture Generation CVPR 2026 Progressive Supernet Training for Efficient Visual Autoregressive Modeling CVPR 2026 ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology CVPR 2026 Prompt-Free Universal Region Proposal Network CVPR 2026 PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment CVPR 2026 PromptStereo: Zero-Shot Stereo Matching via Structure and Motion Prompts CVPR 2026 ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction CVPR 2026 ProPhy: Progressive Physical Alignment for Dynamic World Simulation CVPR 2026 Protein-STORY: Semantic Text-Oriented Representation Yields biologically meaningful Protein embeddings ACL 2026 Prototype-based Causal Intervention for Multi-Label Image Classification CVPR 2026 Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning UAI 2026 Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation CVPR 2026 PRUE: A Practical Recipe for Field Boundary Segmentation at Scale CVPR 2026 PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation SemEval 2026 PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards CVPR 2026 psy detectives at SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection SemEval 2026 PUEB-DimASR at SemEval-2026 Task 3: Escaping the Mean Regression Trap with Graph-Enhanced Transformers for Dimensional Aspect-Based Sentiment Regression SemEval 2026 PuerAI at SemEval-2026 Task 5: Homograph Appropriateness Assessment via DeBERTa Contrastive Regression and Contextual Grouping SemEval 2026 Punctuation-Steered Representation Fine-Tuning ACL 2026 Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning CVPR 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations CVPR 2026