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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)

Detecting Inconsistencies in Narrative Elements of Cross Lingual Nakba Texts COLING 2025 Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025 Detecting Legal Citations in United Kingdom Court Judgments EMNLP 2025 Detecting Omissions in LLM-Generated Medical Summaries EMNLP 2025 Detecting Sockpuppetry on Wikipedia Using Meta-Learning ACL 2025 Detection of Human and Machine-Authored Fake News in Urdu ACL 2025 Deterministic Object Pose Confidence Region Estimation ICCV 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in Singapore AAAI 2025 Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games AAAI 2025 Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy RSS 2025 DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References ICLR 2025 DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control CoRL 2025 DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies RSS 2025 DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025 DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics IJCAI 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 DFLOW: Diverse Dialogue Flow Simulation with Large Language Models ACL 2025 DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025 D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models ACL 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 2025 DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models AAAI 2025 DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction AAAI 2025 DIACU: A dataset for the DIAchronic analysis of Church Slavonic ACL 2025 Diagnosing Pretrained Models for Out-of-distribution Detection ICCV 2025