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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)

Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models EMNLP 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models AAAI 2025 Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning AAAI 2025 Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning AAAI 2025 Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors WACV 2025 Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025 Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning AAAI 2025 Attention-Guided Masked Autoencoders for Learning Image Representations WACV 2025 Attention-Imperceptible Backdoor Attacks on Vision Transformers AAAI 2025 Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction COLING 2025 Attention with Dependency Parsing Augmentation for Fine-Grained Attribution ACL 2025 AttentiveMOS: A Lightweight Attention-Only Model forSpeech Quality Prediction Interspeech 2025 Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025 Attribute Association Driven Multi-Task Learning for Session-based Recommendation IJCAI 2025 AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling EMNLP 2025 Attribute-Missing Multi-view Graph Clustering CVPR 2025 Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation EMNLP 2025 A Two-Head Loss Function for Deep Average-K Classification WACV 2025 A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation COLING 2025 Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality EMNLP 2025 Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning AAAI 2025 Audio-Visual Semantic Graph Network for Audio-Visual Event Localization CVPR 2025 Audit-FT at the Regulations Challenge Task: An Open-Source Large Language Model for Audit COLING 2025 AUEB-Archimedes at RIRAG-2025: Is Obligation concatenation really all you need? COLING 2025