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
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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)
Directed Attention is All You Need: Profiling Style from Limited Text Data
EACL 2026
Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction
AAAI 2026
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
ACL 2026
DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
AAAI 2026
DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training
AAAI 2026
Discovering Decoupled Functional Modules in Large Language Models
AAAI 2026
Discovering Mixture Skills for Unsupervised Reinforcement Learning
AAAI 2026
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design
AAAI 2026
Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery
WACV 2026
Discrete Structure Augmentation for Graph Convolutional Networks
AAAI 2026
Discriminative Feature Feedback with General Teacher Classes
ALT 2026
Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection
AAAI 2026
Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings
ACL 2026
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
AAAI 2026
Distilling Balanced Knowledge from a Biased Teacher
CVPR 2026
Distractor-Based Jailbreaking Attacks in Language Models and Associated Changes in Chain-of-Thought Content (Student Abstract)
AAAI 2026
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
AAAI 2026
Distribution-Dependent Rates for Multi-Distribution Learning
ALT 2026
Distribution-Free Sequential Prediction with Abstentions
COLT 2026
Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation
WACV 2026
d-itlab at SemEval-2026 Task 12: Per-Option Surprisal and Multi-Stage Gating for Precision-Oriented Causal Reasoning
SemEval 2026
Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference
AAAI 2026
Diversity Preserving Coresets for Image Quality Assessment
WACV 2026
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
AAAI 2026
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
WACV 2026