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)
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
AAAI 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
CVPR 2020
DUNIT: Detection-Based Unsupervised Image-to-Image Translation
CVPR 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NeurIPS 2020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
NeurIPS 2020
Dynamic Embedding on Textual Networks via a Gaussian Process
AAAI 2020
Dynamic Fluid Surface Reconstruction Using Deep Neural Network
CVPR 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
CVPR 2020
Dynamic Instance Normalization for Arbitrary Style Transfer
AAAI 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
ACL 2020
Dynamic Motion Representation for Human Action Recognition
WACV 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
CVPR 2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
ACL 2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
CVPR 2020
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments
AAAI 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
EMNLP 2020
Dynamic Traffic Modeling From Overhead Imagery
CVPR 2020
Dysarthric Speech Recognition Based on Deep Metric Learning
Interspeech 2020
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
EMNLP 2020
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
Interspeech 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
AAAI 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
CVPR 2020
Editing in Style: Uncovering the Local Semantics of GANs
CVPR 2020
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
AAAI 2020
Effective distributed representations for academic expert search
EMNLP 2020