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)
ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing
AAAI 2026
Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
ALT 2026
Ensemble Diversity Optimization for Subjective Supervision
UAI 2026
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
AAAI 2026
EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
AAAI 2026
Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift
COLT 2026
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
AAAI 2026
Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation
AAAI 2026
Estimating Interventional Outcomes over Time with Causal Normalizing Flow
UAI 2026
Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
CLeaR 2026
Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks
ACL 2026
Evaluating Text-to-Image and Text-to-Video Synthesis with a Conditional Frechet Distance
WACV 2026
Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency
AAAI 2026
Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
ALT 2026
Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model
AAAI 2026
Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction
AAAI 2026
Evolutionary Search for Automated Design of Uncertainty Quantification Methods
ACL 2026
EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
ACL 2026
Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning
AAAI 2026
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
WACV 2026
Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure
CVPR 2026
Exemplar-Free Continual Learning for State Space Models
CVPR 2026
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
AAAI 2026
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
AAAI 2026
Expert Advice with Costly Observations
UAI 2026