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Learning Types

56,253 papers (3 classified directly here)

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)
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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