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
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'25
Papers (including subtopics)
Decomposing Semantic Shifts for Composed Image Retrieval
AAAI 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
CVPR 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
ICML 2024
Decouple Content and Motion for Conditional Image-to-Video Generation
AAAI 2024
Decoupled Contrastive Learning for Long-Tailed Recognition
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
Decoupled Optimisation for Long-Tailed Visual Recognition
AAAI 2024
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
CVPR 2024
Decoupled Textual Embeddings for Customized Image Generation
AAAI 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
AAAI 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
NeurIPS 2024
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
AAAI 2024
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
ACL 2024
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
AAAI 2024
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
AAAI 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
AAAI 2024
Deep Correlated Prompting for Visual Recognition with Missing Modalities
NeurIPS 2024
Deep Embedding Clustering Driven by Sample Stability
IJCAI 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
NeurIPS 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
WACV 2024
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
EACL 2024
Deep Learning on Graphs: A Data-Centric Exploration
AAAI 2024
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features
IJCAI 2024