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)
Class-Disentanglement and Applications in Adversarial Detection and Defense
NeurIPS 2021
Classification and Geotemporal Analysis of Quality-of-Life Issues in Tenant Reviews
EMNLP 2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
EMNLP 2021
Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation
Interspeech 2021
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
AAAI 2021
Class Normalization for (Continual)? Generalized Zero-Shot Learning
ICLR 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
CVPR 2021
CLCC: Contrastive Learning for Color Constancy
CVPR 2021
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
CVPR 2021
C-Learning: Learning to Achieve Goals via Recursive Classification
ICLR 2021
CLEVE: Contrastive Pre-training for Event Extraction
ACL 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
EMNLP 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
ACL 2021
Closed-Form Factorization of Latent Semantics in GANs
CVPR 2021
Clothing Status Awareness for Long-Term Person Re-Identification
ICCV 2021
Cloud2Curve: Generation and Vectorization of Parametric Sketches
CVPR 2021
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
AAAI 2021
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization
EMNLP 2021
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
CVPR 2021
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter
ACL 2021
CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs
Interspeech 2021
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
AAAI 2021
Co2L: Contrastive Continual Learning
ICCV 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
EMNLP 2021
Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization
CVPR 2021