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)
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
CVPR 2019
Point in, Box Out: Beyond Counting Persons in Crowds
CVPR 2019
Pointing Novel Objects in Image Captioning
CVPR 2019
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
CVPR 2019
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
CVPR 2019
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
AAAI 2019
Posterior Attention Models for Sequence to Sequence Learning
ICLR 2019
Practical Full Resolution Learned Lossless Image Compression
CVPR 2019
Practical Obstacles to Deploying Active Learning
EMNLP 2019
Predicting Concrete and Abstract Entities in Modern Poetry
AAAI 2019
Predicting Discourse Structure using Distant Supervision from Sentiment
EMNLP 2019
Predicting Future Frames Using Retrospective Cycle GAN
CVPR 2019
Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto-Indo-European
ACL 2019
Predicting Human Activities from User-Generated Content
ACL 2019
Predicting Humor by Learning from Time-Aligned Comments
Interspeech 2019
Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models
ACL 2019
Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context
ACL 2019
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
ACL 2019
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection
EMNLP 2019
Pretraining Methods for Dialog Context Representation Learning
ACL 2019
Private Model Compression via Knowledge Distillation
AAAI 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
NeurIPS 2019
Probabilistic Forecasting with Spline Quantile Function RNNs
AISTATS 2019
Probability Distillation: A Caveat and Alternatives
UAI 2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
ACL 2019