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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)

Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models NAACL 2025 Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification ACL 2025 Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders ACL 2025 Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning ICLR 2025 Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction ACL 2025 Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs ACL 2025 Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization ACL 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Model selection for behavioral learning data and applications to contextual bandits AISTATS 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025 Moderating the Generalization of Score-based Generative Model ICCV 2025 Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan NAACL 2025 ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling CVPR 2025 MODL: Multilearner Online Deep Learning AISTATS 2025 ModSkill: Physical Character Skill Modularization ICCV 2025 MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration ICCV 2025 MojoBench: Language Modeling and Benchmarks for Mojo NAACL 2025 MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025 Molecular String Representation Preferences in Pretrained LLMs: A Comparative Study in Zero- & Few-Shot Molecular Property Prediction EMNLP 2025 MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs EMNLP 2025 MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction EMNLP 2025 MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights AAAI 2025 MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval EMNLP 2025 MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild ICCV 2025