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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
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