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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Papers (including subtopics)
Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
UAI 2026
Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
AAAI 2026
Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
AAAI 2026
Uncovering Sentiment Analysis Circuit in Large Language Model
ACL 2026
UNF-BMI at SemEval-2026 Task 3: Research Domain Criteria-Guided Large Language Models for Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization
AAAI 2026
UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
AAAI 2026
UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations
WACV 2026
Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts
UAI 2026
Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning
COLT 2026
Unified Representation Causal Prompt Distillation for Re-Inference-Free Lifelong Person Re-Identification
AAAI 2026
Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering
AAAI 2026
Unifying Locality of KANs and Feature Drift Compensation Projection for Data-Free Replay Based Continual Face Forgery Detection
AAAI 2026
UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training
WACV 2026
UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space
AAAI 2026
Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion
AAAI 2026
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing
AAAI 2026
Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification
CVPR 2026
UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
WACV 2026
Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening
AAAI 2026
Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
AAAI 2026
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
EACL 2026
Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception
AAAI 2026
Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem
AAAI 2026
Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
AAAI 2026