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)
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
CVPR 2025
Decoupled Finetuning for Domain Generalizable Semantic Segmentation
ICLR 2025
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
AAAI 2025
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
CVPR 2025
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness
IJCAI 2025
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
AAAI 2025
Decoupling Training-Free Guided Diffusion by ADMM
CVPR 2025
Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference
WACV 2025
Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection
SemEval 2025
Deep Clustering via Probabilistic Ratio-Cut Optimization
AISTATS 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
AAAI 2025
Deep Fair Multi-View Clustering with Attention KAN
CVPR 2025
Deep Fuzzy Multi-view Learning for Reliable Classification
ICML 2025
Deep Generative Quantile Bayes
AISTATS 2025
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
AAAI 2025
Deep Hypergraph Neural Networks with Tight Framelets
AAAI 2025
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
AAAI 2025
Deep Metric Learning for Unsupervised Remote Sensing Change Detection
WACV 2025
DeepMIM: Deep Supervision for Masked Image Modeling
WACV 2025
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
AAAI 2025
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
AISTATS 2025
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
ICML 2025
Deep Reinforcement Learning with Time-Scale Invariant Memory
AAAI 2025
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
AAAI 2025
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
ACL 2025