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)
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing
AAAI 2022
Feature Kernel Distillation
ICLR 2022
Feature-Proxy Transformer for Few-Shot Segmentation
NeurIPS 2022
Feature Space Particle Inference for Neural Network Ensembles
ICML 2022
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract)
AAAI 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 2022
Federated Learning for Face Recognition with Gradient Correction
AAAI 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
NeurIPS 2022
Federated Learning With Position-Aware Neurons
CVPR 2022
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
AAAI 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients
AAAI 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
NeurIPS 2022
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
ICML 2022
FETA: Towards Specializing Foundational Models for Expert Task Applications
NeurIPS 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
IJCAI 2022
Few-Shot Backdoor Attacks on Visual Object Tracking
ICLR 2022
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
ACL 2022
Few-Shot Cross-Lingual Learning for Event Detection
EMNLP 2022
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training
AAAI 2022
Few-Shot Fast-Adaptive Anomaly Detection
NeurIPS 2022
Few-Shot Font Generation by Learning Fine-Grained Local Styles
CVPR 2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
CVPR 2022
Few-Shot Head Swapping in the Wild
CVPR 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
NeurIPS 2022
Few-shot Learning with Multilingual Generative Language Models
EMNLP 2022