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)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
ICML 2020
Deep Message Passing on Sets
AAAI 2020
DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection
ACL 2020
Deep Metric Learning via Adaptive Learnable Assessment
CVPR 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
AAAI 2020
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
Interspeech 2020
Deep Multimodal Fusion by Channel Exchanging
NeurIPS 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
AAAI 2020
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation
AAAI 2020
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers
EMNLP 2020
Deep reconstruction of strange attractors from time series
NeurIPS 2020
Deep Reinforcement Learning for Active Human Pose Estimation
AAAI 2020
Deep Reinforcement Learning for General Game Playing
AAAI 2020
Deep Reinforcement Learning with Robust and Smooth Policy
ICML 2020
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
CVPR 2020
Deep Residual-Dense Lattice Network for Speech Enhancement
AAAI 2020
Deep Semantic Clustering by Partition Confidence Maximisation
CVPR 2020
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
CVPR 2020
Deep Statistical Solvers
NeurIPS 2020
Deep Streaming Label Learning
ICML 2020
Deepstrip: High-Resolution Boundary Refinement
CVPR 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
AAAI 2020
Deep Transformation-Invariant Clustering
NeurIPS 2020
Deep Unfolding Network for Image Super-Resolution
CVPR 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
AAAI 2020