Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
NeurIPS 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
CVPR 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
ACML 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
IJCAI 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
AAAI 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
ICML 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
CVPR 2024
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
NeurIPS 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
AAAI 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
CVPR 2024
Feedback-Guided Autonomous Driving
CVPR 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
NeurIPS 2024
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association
WACV 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
NeurIPS 2024
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods
ACL 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
NeurIPS 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
NeurIPS 2024
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
EMNLP 2024
Few-Shot Detection of Machine-Generated Text using Style Representations
ICLR 2024
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
ACL 2024
Few-Shot Diffusion Models Escape the Curse of Dimensionality
NeurIPS 2024
Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning
WACV 2024
Few-Shot Keyword-Incremental Learning with Total Calibration
Interspeech 2024