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)
Differentially Private Best-Arm Identification
JMLR 2026
DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
CVPR 2026
Difficulty-Controllable Cloze Question Distractor Generation
ACL 2026
Diff-SemiER: Transparency-Aware Adaptive Fusion Diffusion Model with Generative Prior for Semi-Transparent Eyeglasses Removal
CVPR 2026
DiffTAC: Temporal-Conditioned Latent Diffusion with Integrated Attention for Intermediate Frame Generation and Temporal Super-Resolution in Cardiac MRI
MIDL 2026
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
ACL 2026
Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
CVPR 2026
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
AAAI 2026
Diffusion Guided Chain-of-Vision for Large Autoregressive Vision Models
CVPR 2026
Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
CVPR 2026
DiffuView: Multi-View Diffusion Pretraining for 3D Aware Robotic Manipulation
CVPR 2026
DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Models
CVPR 2026
DigiS-FBK at SemEval-2026 Task 9: Multi-task Learning for Multilingual and Cross-cultural Polarization Classification
SemEval 2026
DIMOS: Disentangling Instance-level Moving Object Segmentation
CVPR 2026
Di-PS: System-Algorithm Co-Design for Asynchronous and Heterogeneous Cross-cluster LLM Training at Scale
NSDI 2026
Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
CVPR 2026
Discovering Adaptive Task Dependencies for Efficient Multi-Task Representation Compression
CVPR 2026
Discovering Lexical Gaps Using Embeddings from Multilingual LLMs
CoNLL 2026
Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation
CVPR 2026
Discovery and Reinforcement of Tool-Integrated Reasoning Chains via Rollout Trees
ACL 2026
Discriminative Perception via Anchored Description for Reasoning Segmentation
CVPR 2026
Discriminative Self-Supervised Pre-Training for Esophagitis Detection in Upper GI Endoscopy Images
MIDL 2026
Disentanglement-wise Image Dehazing through Cross-Domain Manifold Consensus
CVPR 2026
Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement
CVPR 2026
Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer
ACL 2026