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)
Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection
CVPR 2026
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
CVPR 2026
Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation
CVPR 2026
Degradation-Consistent Test-Time Adaptation for All-in-One Image Restoration
CVPR 2026
Demystifying Data Organization for Enhanced LLM Training
ACL 2026
Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
CVPR 2026
Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors
CVPR 2026
Depth Any Endoscopy: Towards Self-Supervised Generalizable Depth Estimation in Monocular Endoscopy
CVPR 2026
Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
CVPR 2026
Designing to Forget: Deep Semi-parametric Models for Unlearning
CVPR 2026
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
CVPR 2026
DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
CVPR 2026
DetAny4D: Detect Anything 4D Temporally in a Streaming RGB Video
CVPR 2026
Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
CVPR 2026
Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment
UAI 2026
Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization
MIDL 2026
DEVA: Fine-tuning Multimodal Large Language Models for Visual Perception Tasks
CVPR 2026
DF^2-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification
CVPR 2026
DFD-HR: Generalizable Deepfake Detection via Hierarchical Routing Learning
CVPR 2026
DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning
CVPR 2026
DialoGen: Towards Dialog Gesture Generation via Identity-Decoupled Style Guidance in Interactive Diffusion Model
AAAI 2026
Diff4TST: Masked Diffusion Language Model for Text Style Transfer
ACL 2026
Difference in Task Performance on Sparse Speech Representations
ACL 2026
Differentiable Filtering for Learning Hidden Markov Models
L4DC 2026
Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
CVPR 2026