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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)

Automatic Text Segmentation of Ancient and Historic Hebrew NAACL 2025 Automating Alternative Generation in Decision-Making EMNLP 2025 Automating Annotation Guideline Improvements using LLMs: A Case Study COLING 2025 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025 Automotive Document Labeling Using Large Language Models EMNLP 2025 AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation AAAI 2025 Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts ACL 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025 Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion AAAI 2025 Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning AAAI 2025 AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025 Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs EMNLP 2025 AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation WACV 2025 Autoregressive Denoising Score Matching is a Good Video Anomaly Detector ICCV 2025 Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025 Autoregressive Sequential Pretraining for Visual Tracking CVPR 2025 Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations ACL 2025 AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025 AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists EMNLP 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025 AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025 AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection ICLR 2025 Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks EMNLP 2025