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
'5
'10
'15
'20
'25
Papers (including subtopics)
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
ICCV 2025
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation
ACL 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training
ICCV 2025
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
ICLR 2025
Fair and Efficient Completion of Indivisible Goods
AAAI 2025
Fair Division with Social Impact
AAAI 2025
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
WACV 2025
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
ICML 2025
Fairness-Accuracy Trade-Offs: A Causal Perspective
AAAI 2025
Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All
EMNLP 2025
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
AISTATS 2025
FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training
WACV 2025
Fair Text Classification via Transferable Representations
JMLR 2025
Fair Training with Zero Inputs
AAAI 2025
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
ACL 2025
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention
COLING 2025
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
NAACL 2025
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
AAAI 2025
FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
ICCV 2025
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
CVPR 2025
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
NAACL 2025
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
AAAI 2025
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
SemEval 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
CVPR 2025
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
ICLR 2025