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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)

NIL: No-data Imitation Learning CVPR 2026 Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism ACL 2026 NIT-Agartala-NLP-Team at SemEval-2026 Task 9: A Weighted Soft-Voting Ensemble Framework of Fine-Tuned LLMs for Binary and Multi-Label Polarization Detection SemEval 2026 NitroGen: An Open Foundation Model for Generalist Gaming Agents CVPR 2026 NLP-FSDM at SemEval-2026 Task 4: Narrative Similarity via Multiple Negatives Ranking and Instruction-Based Embeddings SemEval 2026 nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection MIDL 2026 No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models CVPR 2026 Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment CVPR 2026 No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection CVPR 2026 Nonparametric Deep Fine-grained Clustering with Low-Rank Guided Vision-Language Model CVPR 2026 Nonparametric Estimation of a Factorizable Density using Diffusion Models JMLR 2026 NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection CVPR 2026 NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning ACL 2026 Not All Birds Look The Same: Identity-Preserving Generation For Birds CVPR 2026 Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation ACL 2026 Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement UAI 2026 Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning ACL 2026 NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing CVPR 2026 Now They See It, Now They Don’t: Multimodal Reward Models Exhibit Unreliability in Physical World Constraints CoNLL 2026 NS-Diff: Fluid Navier-Stokes Guided Video Diffusion via Reinforcement Learning CVPR 2026 NUST CodeIntel at SemEval-2026 Task 13: Cross-Domain Detection of Machine-Generated Code via Stylometric Features and Transformer Models SemEval 2026 NUST PsyAI at SemEval-2026 Task 10: Parameter-Efficient RoBERTa for Conspiracy Detection and Character-Level Marker Extraction SemEval 2026 NYCU-NLP at SemEval-2026 Task 9: Stacking Small Language Models for Multilingual, Multicultural and Multievent Polarization Detection SemEval 2026 OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026 Object-Generalized Re-Identification: A Step Towards Universal Instance Perception CVPR 2026