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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)

MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025 MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra ICLR 2025 MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation CVPR 2025 Moments of Causal Effects UAI 2025 Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025 MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025 Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation ICLR 2025 MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint AAAI 2025 Monolingual Adapter Networks for Efficient Cross-Lingual Alignment EMNLP 2025 MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation IJCAI 2025 MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos ICCV 2025 MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications WACV 2025 MonoSOWA: Scalable Monocular 3D Object Detector Without Human Annotations ICCV 2025 MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues NAACL 2025 MonSTeR: a Unified Model for Motion, Scene, Text Retrieval ICCV 2025 MonSter: Marry Monodepth to Stereo Unleashes Power CVPR 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025 Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning ICLR 2025 MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection ACL 2025 MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025 Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables EMNLP 2025 Moral Framing in Politics (MFiP): A new resource and models for moral framing EMNLP 2025 Moral reckoning: How reliable are dictionary-based methods for examining morality in text? NAACL 2025 MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers EMNLP 2025