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)
Decoupling Shape and Texture in SAM-2 via Controlled Texture Replacement
WACV 2026
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data
AAAI 2026
Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
CVPR 2026
Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning
AAAI 2026
Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint
AAAI 2026
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
AAAI 2026
DeepSemantics at SemEval-2026 Task 9: Label-Wise Optimization with Adaptive Focal Loss for Polarization Manifestation Identification
SemEval 2026
DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition
AAAI 2026
Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems
UAI 2026
DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos
AAAI 2026
Defenses Against Prompt Attacks Learn Surface Heuristics
ACL 2026
Defensive Generation
COLT 2026
DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics
AAAI 2026
DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination
AAAI 2026
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning
AAAI 2026
Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs
EACL 2026
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations
ACL 2026
DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
AAAI 2026
Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment
AAAI 2026
Designing to Forget: Deep Semi-parametric Models for Unlearning
CVPR 2026
De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition
AAAI 2026
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
AAAI 2026
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
EACL 2026
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
WACV 2026
Detecting (Un)answerability in Large Language Models with Linear Directions
EACL 2026