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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)

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning ACL 2025 MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation AAAI 2025 More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning EMNLP 2025 More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025 MORE: Molecule Pretraining with Multi-Level Pretext Task AAAI 2025 More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning ICCV 2025 More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025 MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language EMNLP 2025 Morpheme Induction for Emergent Language EMNLP 2025 Morphing Tokens Draw Strong Masked Image Models ICLR 2025 MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models COLING 2025 MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025 MOSCATO: Predicting Multiple Object State Change Through Actions ICCV 2025 MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025 MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning ICCV 2025 MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning COLING 2025 MOS: Modeling Object-Scene Associations in Generalized Category Discovery CVPR 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer ICCV 2025 Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation AAAI 2025 MotionClone: Training-Free Motion Cloning for Controllable Video Generation ICLR 2025 MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls AAAI 2025 MotionMap: Representing Multimodality in Human Pose Forecasting CVPR 2025 Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection AAAI 2025 MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation CVPR 2025