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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

The Invisible Gorilla Effect in Out-of-distribution Detection CVPR 2026 The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge MIDL 2026 The Missing Point in Vision Transformers for Universal Image Segmentation CVPR 2026 THE MORE, THE MERRIER: CONTRASTIVE FUSION FOR HIGHER-ORDER MULTIMODAL ALIGNMENT CVPR 2026 The olmOCR Project: Building Fully Open OCR using VLMs ACL 2026 The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers CVPR 2026 The Power of Prior: Training-Free Open-Vocabulary Semantic Segmentation with LLaVA CVPR 2026 Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection CVPR 2026 The Road Less Seen: Segment Exploration for Weakly Supervised Video Anomaly Detection CVPR 2026 The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations CVPR 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 Think 360deg: Beyond Depth: Evaluating the Width-centric Reasoning Capability of MLLMs CVPR 2026 Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models CVPR 2026 Think Better, Not Longer: Token-Level Marginal Utility for Efficient Reasoning in Large Reasoning Models ACL 2026 Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut Decoding ACL 2026 ThinkGen: Generalized Thinking for Visual Generation CVPR 2026 Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning ACL 2026 Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models CVPR 2026 Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation CVPR 2026 Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning CVPR 2026 Think Less, Code Better: Probing When Chain-of-Thought Hurts and How to Route Around It ACL 2026 Think Like You Execute: Verifiable Chain of Thought from Program Traces ACL 2026 Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning ACL 2026 Think-Then-Generate: Structural Chain-of-Thought Reasoning for Consistent 3D Generation CVPR 2026 ThinkVision at SemEval-2026 Task 6: A Transformer-Based Ensemble System for Clarity Detection SemEval 2026