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)
FLamE: Few-shot Learning from Natural Language Explanations
ACL 2023
Flash: Concept Drift Adaptation in Federated Learning
ICML 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
NeurIPS 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
EMNLP 2023
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
WACV 2023
Fleet Active Learning: A Submodular Maximization Approach
CoRL 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
AISTATS 2023
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation
AAAI 2023
Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy
CVPR 2023
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
ICML 2023
FLIP: Cross-domain Face Anti-spoofing with Language Guidance
ICCV 2023
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
ICML 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
NeurIPS 2023
Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion
Interspeech 2023
FLSL: Feature-level Self-supervised Learning
NeurIPS 2023
Fluency Matters! Controllable Style Transfer with Syntax Guidance
ACL 2023
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation
AAAI 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NeurIPS 2023
Focus-attention-enhanced Crossmodal Transformer with Metric Learning for Multimodal Speech Emotion Recognition
Interspeech 2023
Focus-aware Response Generation in Inquiry Conversation
ACL 2023
Focused and Collaborative Feedback Integration for Interactive Image Segmentation
CVPR 2023
Focused Transformer: Contrastive Training for Context Scaling
NeurIPS 2023
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition
ACL 2023