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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)

Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings ACL 2026 Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts ACL 2026 Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought ACL 2026 DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations MIDL 2026 Distilling Balanced Knowledge from a Biased Teacher CVPR 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Distributional Deep Gaussian Processes UAI 2026 Distribution-Aligned Multimodal Fusion for Robust Object Detection CVPR 2026 DiT-Distill: Open-Set Fine-Grained Retrieval via Generative Curriculum Knowledge CVPR 2026 DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers CVPR 2026 Diversity over Uniformity: Rethinking Representation in Generated Image Detection CVPR 2026 Divide, Conquer, and Aggregate: Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical Image Segmentation CVPR 2026 Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search ACL 2026 DiZiNER: Disagreement-guided Instruction Refinement via Simulating Pilot Annotation for Zero-shot Named Entity Recognition ACL 2026 DK-DDIL: Adaptive Knowledge Retention for Dynamic Domain-Incremental Learning in Medical Imaging CVPR 2026 DLVP-CLIP: Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual Prompting CVPR 2026 DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving CVPR 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution CVPR 2026 DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding CVPR 2026 Does YOLO Really Need to See Every Training Image in Every Epoch? CVPR 2026 Do Generative Video Models Understand Physical Principles? WACV 2026 Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? CVPR 2026 d’Olle Grieze at SemEval-2026 Task 11: Comparing the Impact of Supervised Fine-Tuning and Activation Steering on Mitigating Content Effect Bias in Syllogistic Reasoning SemEval 2026 Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking ACL 2026