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)
DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process
CVPR 2026
DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles
CVPR 2026
Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation
ACL 2026
Debiased Sample Selection for Learning with Noisy Labels
CVPR 2026
Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented Data
ACL 2026
DecIF: Improving Instruction-Following through Decomposition
ACL 2026
Decision Boundary-aware Generation for Long-tailed Learning
CVPR 2026
DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing
ACL 2026
Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection
CVPR 2026
Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression
CVPR 2026
Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer
CVPR 2026
Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning
CVPR 2026
Decouple Your Discovery and Memory in Continual Generalized Category Discovery
CVPR 2026
Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection
CVPR 2026
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models
ACL 2026
Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
CVPR 2026
Decoupling Vision and Language: Codebook Anchored Visual Adaptation
CVPR 2026
Deepfake Detection that Generalizes Across Benchmarks
WACV 2026
Deep Feature Deformation Weights
CVPR 2026
deepgpt at SemEval-2026 Task 1: A Chinese Humor Generation System via Instruction-Masked QLoRA and Reverse Constraint Data Mixing
SemEval 2026
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
ACL 2026
Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging
MIDL 2026
Deep Learning for Liver Disease Stratification: Findings from UKBB MRI
MIDL 2026
Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems
UAI 2026
Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean
ACL 2026