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)
An Unsupervised Autoregressive Model for Speech Representation Learning
Interspeech 2019
A Parametric Top-View Representation of Complex Road Scenes
CVPR 2019
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
CVPR 2019
APE at Scale and Its Implications on MT Evaluation Biases
ACL 2019
A Perceptual Prediction Framework for Self Supervised Event Segmentation
CVPR 2019
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task
ACL 2019
Approaching SMM4H with Merged Models and Multi-task Learning
ACL 2019
Approximate Feature Collisions in Neural Nets
NeurIPS 2019
Approximating the Permanent by Sampling from Adaptive Partitions
NeurIPS 2019
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection
EMNLP 2019
A Prism Module for Semantic Disentanglement in Name Entity Recognition
ACL 2019
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features
ACL 2019
Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations
ACL 2019
ARAML: A Stable Adversarial Training Framework for Text Generation
EMNLP 2019
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
CVPR 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
NeurIPS 2019
Are Labels Required for Improving Adversarial Robustness?
NeurIPS 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
EMNLP 2019
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection
ACL 2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
ACL 2019
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
ICCV 2019
Argument Generation with Retrieval, Planning, and Realization
ACL 2019
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation
CVPR 2019
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
EMNLP 2019
A Semantics-based Model for Predicting Children's Vocabulary
IJCAI 2019