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
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Papers (including subtopics)
ATM: Enhanced Alignment for Text-to-Motion Generation
WACV 2026
ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs
EACL 2026
ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements
L4DC 2026
Attention Retention for Continual Learning with Vision Transformers
AAAI 2026
Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework
AAAI 2026
A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance
JMLR 2026
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
ACL 2026
AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset
WACV 2026
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
EACL 2026
Automated Quality Control for Language Documentation: Detecting Phonotactic Inconsistencies in a Kokborok Wordlist
EACL 2026
Automatic debiased machine learning and sensitivity analysis for sample selection models
CLeaR 2026
Automatic Funny Scene Extraction from Long-form Cinematic Videos
AAAI 2026
Autonomous Concept Drift Threshold Determination
AAAI 2026
Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026
Autoregressive Styled Text Image Generation, but Make it Reliable
WACV 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
WACV 2026
AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts
CVPR 2026
Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed
COLT 2026
Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning
AAAI 2026
Backdooring Rationalization
AAAI 2026
BAFIS: Dataset + Framework to Assess Occupational Bias and Human Preference in Modern Text-to-image Models
WACV 2026
Balance Equation-based Distributionally Robust Offline Imitation Learning
L4DC 2026
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
UAI 2026
BAMI: Training-Free Bias Mitigation in GUI Grounding
CVPR 2026