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)
Towards Multimodal Domain Generalization with Few Labels
CVPR 2026
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection
AAAI 2026
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
AAAI 2026
Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization
AAAI 2026
Towards Robust Edge Model Adaptation via Elastic Architecture Search
AAAI 2026
Towards Robust Human–AI Decision-Making via Learning-to-Defer
AAAI 2026
Towards Robust, Reliable, and Generalized Medical AI
AAAI 2026
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs
AAAI 2026
Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating
AAAI 2026
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
EACL 2026
ToxiPrompt: A Two-Stage Red-Teaming Approach for Balancing Adversarial Prompt Diversity and Response Toxicity
EACL 2026
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
AAAI 2026
TRACE: Confounder-free Adversarial Fine-tuning for Robust Object Detection
WACV 2026
Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
AAAI 2026
Tracking the evolution of LLM capabilities for Belarusian with OpenAI Evals
EACL 2026
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
WACV 2026
Training-free Detection of Text-to-video Generations via Over-coherence
WACV 2026
Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory
AAAI 2026
Training-Free Text Emotion Tagging via LLM-Based Best-Worst Scaling
EACL 2026
TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space
AAAI 2026
Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability
COLT 2026
Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature
WACV 2026
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
AAAI 2026
Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
AAAI 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026