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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)

ID-Crafter: VLM-Grounded Online RL for Compositional Multi-Subject Video Generation CVPR 2026 Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior UAI 2026 Identity-Preserving Image-to-Video Generation via Reward-Guided Optimization CVPR 2026 IDperturb: Enhancing Variation in Synthetic Face Generation via Angular Perturbations CVPR 2026 ID-Sim: An Identity-Focused Similarity Metric CVPR 2026 IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation ACL 2026 IGen: Scalable Data Generation for Robot Learning from Open-World Images CVPR 2026 IIITH Boys at SemEval-2026 Task 4: StoryNet - Understanding Narrative Story Similarity through Symbolic Representations SemEval 2026 Image-based Outlier Synthesis With Training Data CVPR 2026 Image Diffusion Preview with Consistency Solver CVPR 2026 Image Guides Images: Consistent Video Amodal Completion with Rectified In-Context Exemplar Guidance CVPR 2026 Image-to-Point Cloud Feature Back-Projection for Multimodal Training of 3D Semantic Segmentation CVPR 2026 Imbalanced View Contribution Evaluation and Refinement for Deep Incomplete Multi-View Clustering CVPR 2026 IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion WACV 2026 Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning AAAI 2026 ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following ACL 2026 Improved Mean Flows: On the Challenges of Fastforward Generative Models CVPR 2026 Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition WACV 2026 Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 Improving Controllable Generation: Faster Training and Better Performance via x0-Supervision CVPR 2026 Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities ACL 2026 Improving Long-Context Translation via Self-Supervised Dual Learning ACL 2026 Improving Sparse Autoencoder with Dynamic Attention CVPR 2026 Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure UAI 2026