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)
From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection
AAAI 2026
From Classical to Contemporary: Evolutionary Analysis & Classification of Urdu Poetry
EACL 2026
From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing
WACV 2026
From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
ALT 2026
From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression
MIDL 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
AAAI 2026
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech
EACL 2026
From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics
WACV 2026
From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
AAAI 2026
From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization
ACL 2026
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
AAAI 2026
From Narrow Unlearning to Emergent Misalignment in LLMs
ACL 2026
From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations
AAAI 2026
From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
ACL 2026
From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples
AAAI 2026
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
AAAI 2026
From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
WACV 2026
From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy
AAAI 2026
From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts
EACL 2026
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning
AAAI 2026
From Street to Orbit: Training-Free Cross-View Retrieval via Location Semantics and LLM Guidance
WACV 2026
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
AAAI 2026
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
AAAI 2026
FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference
ACL 2026
FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
WACV 2026