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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)

Concept-Aware Batch Sampling Improves Language-Image Pretraining CVPR 2026 Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation CVPR 2026 Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness CVPR 2026 ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization CVPR 2026 Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach CVPR 2026 Condensed Test-Time Adaptation of VLMs for Action Recognition CVPR 2026 Conditional Diffusion Models for Imbalanced Tabular Regression UAI 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models ACL 2026 Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 Conditional Text-to-Image Generation with Reference Guidance WACV 2026 ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated Verification ACL 2026 Confusion-Aware Spectral Regularizer for Long-Tailed Recognition CVPR 2026 Consensus Optimization Graph Neural Networks UAI 2026 ConsensusXAI: A Framework to Examine Class-wise Agreement in Medical Imaging WACV 2026 ConsistCompose: Unified Multimodal Layout Control for Image Composition CVPR 2026 Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning CVPR 2026 Consistent End-to-End Estimation for Counterfactual Fairness CLeaR 2026 Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration ACL 2026 Constrained Random Forest for Domain-Generalizable Classification UAI 2026 Constructing Interpretable Features from Compositional Neuron Groups ACL 2026 ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation MIDL 2026 Contact-Aware Neural Dynamics CVPR 2026 ConTexT at SemEval-2026 Task 5: Rating Plausibility of Word Senses in Ambiguous Stories through Narrative Understanding SemEval 2026 Continual Distillation of Teachers from Different Domains CVPR 2026