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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)

MasRouter: Learning to Route LLMs for Multi-Agent Systems ACL 2025 Massively Multilingual Instruction-Following Information Extraction ACL 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering IJCAI 2025 Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025 MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework EMNLP 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation ICLR 2025 MATCH: Task-Driven Code Evaluation through Contrastive Learning EMNLP 2025 MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks ACL 2025 MatExpert: Decomposing Materials Discovery By Mimicking Human Experts ICLR 2025 MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025 Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning AAAI 2025 Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models IJCAI 2025 MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025 Matrix3D: Large Photogrammetry Model All-in-One CVPR 2025 MATS: An Audio Language Model under Text-only Supervision ICML 2025 MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation ICCV 2025 MAviS: A Multimodal Conversational Assistant For Avian Species EMNLP 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine ICLR 2025 Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval ACL 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models EMNLP 2025 MBTI: Masked Blending Transformers with Implicit Positional Encoding for Frame-rate Agnostic Motion Estimation ICCV 2025 MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing EMNLP 2025