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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)

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay CVPR 2026 Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models ACL 2026 Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis CVPR 2026 Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas JMLR 2026 Contrastive Conformal Sets UAI 2026 Contrastive Cross-Bag Augmentation for Multiple Instance Learning-based Whole Slide Image Classification CVPR 2026 ContrastKV: Robust KV Cache Eviction via Contrastive Signal Fusion for Multi-Query Generalization ACL 2026 ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling ACL 2026 Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning ACL 2026 Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions ACL 2026 Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering UAI 2026 Convergence of Continual Learning in Homogeneous Deep Networks COLT 2026 Convexity-Aware Noise Calibration: A Self-Supervised Framework for Noise-Level-Unknown Image Denoising CVPR 2026 Coordinate Denoising for Non-Equilibrium Molecular Representation Learning CVPR 2026 CophiWue at SemEval-2026 Task 4: Symbolic Narrative Profiling with Taxonomy-Guided Extraction and Contrastive Fine-Tuning SemEval 2026 CoPol at SemEval-2026 Task 9: Modeling Polarization Type Co-occurrence with Label Correlation Networks SemEval 2026 COPYLENS: Towards Copyrighted Characters Infringement Detection via Copyright-Aware Prompt Learning CVPR 2026 Copy-Transform-Paste: Zero-Shot Object-Object Alignment Guided by Vision-Language and Geometric Constraints CVPR 2026 CoRiM: Conflict-driven Risk Minimization for Dynamic Multimodal Fusion CVPR 2026 CoSMo3D: Open-World Promptable 3D Semantic Segmentation through LLM-Guided Canonical Spatial Modeling CVPR 2026 CoT-Edit: Let CoT Guide Instruction Video Editing CVPR 2026 COT-FM: Cluster-wise Optimal Transport Flow Matching CVPR 2026 Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing ACL 2026 Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology MIDL 2026 Countering Multi-modal Representation Collapse through Rank-targeted Fusion WACV 2026