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)
Dense Unsupervised Learning for Video Segmentation
NeurIPS 2021
Dependency parsing with structure preserving embeddings
EACL 2021
Depth Completion Using Plane-Residual Representation
CVPR 2021
Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination
AAAI 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
CVPR 2021
De-Rendering the World's Revolutionary Artefacts
CVPR 2021
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings
ACL 2021
Designing Counterfactual Generators using Deep Model Inversion
NeurIPS 2021
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
IJCAI 2021
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
EMNLP 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
AAAI 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
Detecting Health Advice in Medical Research Literature
EMNLP 2021
Detecting Propaganda Techniques in Memes
ACL 2021
Detecting Speaker Personas from Conversational Texts
EMNLP 2021
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery
AAAI 2021
Deterministic Mini-batch Sequencing for Training Deep Neural Networks
AAAI 2021
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract)
AAAI 2021
Developing Conversational Data and Detection of Conversational Humor in Telugu
EMNLP 2021
Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification
EMNLP 2021
DG-Font: Deformable Generative Networks for Unsupervised Font Generation
CVPR 2021
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring
AAAI 2021
Dialog Router: Automated Dialog Transition via Multi-Task Learning
AAAI 2021
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
EMNLP 2021
Dialogue Response Generation via Contrastive Latent Representation Learning
EMNLP 2021