Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
AAAI 2026
OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding
AAAI 2026
OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models
AAAI 2026
Online Cross-Modal Hashing with Expanding Label Space
AAAI 2026
On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
COLT 2026
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models
CVPR 2026
On Transportability for Structural Causal Bandits
UAI 2026
OpenCowID: Zero-Shot Visual Identification of Dairy Cows
WACV 2026
Optimal L2 Regularization in High-dimensional Continual Linear Regression
ALT 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
AAAI 2026
Optimizing Product Provenance Verification Using Data Valuation Methods
AAAI 2026
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
AAAI 2026
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility
AAAI 2026
PAGE: A Unified Approach for Federated Graph Unlearning
AAAI 2026
PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving
CVPR 2026
PandemIQ Llama: A Domain-Adapted Foundation Model for Enhanced Pandemic Intelligence
AAAI 2026
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
AAAI 2026
Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited Model Capacity
CVPR 2026
Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation
AAAI 2026
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
AAAI 2026
PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning
ACL 2026
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
WACV 2026
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
WACV 2026
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
WACV 2026