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)
Concadia: Towards Image-Based Text Generation with a Purpose
EMNLP 2022
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
AAAI 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
NeurIPS 2022
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
AAAI 2022
Conditional Prompt Learning for Vision-Language Models
CVPR 2022
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval
EMNLP 2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
CVPR 2022
CoNeRF: Controllable Neural Radiance Fields
CVPR 2022
Confidence-based Reliable Learning under Dual Noises
NeurIPS 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
AAAI 2022
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors
CVPR 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
NAACL 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
NeurIPS 2022
ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation
EMNLP 2022
Con-NAT: Contrastive Non-autoregressive Neural Machine Translation
EMNLP 2022
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
EMNLP 2022
ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition
COLING 2022
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
EMNLP 2022
Consecutive Question Generation via Dynamic Multitask Learning
EMNLP 2022
Consistency Regularization for Adversarial Robustness
AAAI 2022
Consistency Training with Virtual Adversarial Discrete Perturbation
NAACL 2022
Consistent Representation Learning for Continual Relation Extraction
ACL 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
EMNLP 2022
Constrained Contrastive Reinforcement Learning
ACML 2022