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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'20
'25
Papers (including subtopics)
FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
CVPR 2025
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis
AAAI 2025
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
AAAI 2025
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
ICCV 2025
Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM
CVPR 2025
FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction
ICCV 2025
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
CVPR 2025
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
AISTATS 2025
Frequency & Compositionality in Emergent Communication
EMNLP 2025
Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation
WACV 2025
Frequency-Guided Diffusion for Training-Free Text-Driven Image Translation
ICCV 2025
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
ICLR 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
AAAI 2025
Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition
ICCV 2025
FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
CVPR 2025
FRET: Feature Redundancy Elimination for Test Time Adaptation
ICCV 2025
Frictional Agent Alignment Framework: Slow Down and Don’t Break Things
ACL 2025
From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection
NAACL 2025
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
ACL 2025
From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence
ACL 2025
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization
AAAI 2025
From Complexity to Clarity: AI/NLP’s Role in Regulatory Compliance
ACL 2025
From Conversational Speech to Readable Text: Post-Processing Noisy Transcripts in a Low-Resource Setting
NAACL 2025
From Crayons to Code: AI-Driven Insights into a Child’s Mental Health Through Drawings
AAAI 2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
EMNLP 2025