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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'15
'20
'25
Papers (including subtopics)
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
ICCV 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
ICLR 2025
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
ICLR 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
AAAI 2025
Few-Shot Domain Adaptation for Learned Image Compression
AAAI 2025
Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection
COLING 2025
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
AAAI 2025
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation
AAAI 2025
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis
IJCAI 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction
AAAI 2025
Few-shot Novel Category Discovery
IJCAI 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition
EMNLP 2025
Few-Shot Pattern Detection via Template Matching and Regression
ICCV 2025
Few-shot Personalized Scanpath Prediction
CVPR 2025
Few-Shot Prompting, Full-Scale Confusion: Evaluating Large Language Models for Humor Detection in Croatian Tweets
ACL 2025
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
CVPR 2025
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
AAAI 2025
FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
CVPR 2025
FG-CLIP: Fine-Grained Visual and Textual Alignment
ICML 2025
FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media
ACL 2025
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning
EMNLP 2025
FIction: 4D Future Interaction Prediction from Video
CVPR 2025
Field to Model: Pairing Community Data Collection with Scalable NLP through the LiFE Suite
ACL 2025
Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
NAACL 2025
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay
AAAI 2025