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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)

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models AAAI 2025 MAFMO: Multi-modal Adaptive Fusion with Meta-template Optimization for Vision-Language Models EMNLP 2025 MagicColor: Multi-Instance Sketch Colorization ICCV 2025 MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL AAAI 2025 MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization ICCV 2025 MAGMA: Manifold Regularization for MAEs WACV 2025 MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications EMNLP 2025 Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking EMNLP 2025 MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval ICLR 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning AAAI 2025 Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation CVPR 2025 Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning AAAI 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025 Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning NAACL 2025 Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks ICLR 2025 Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation ACL 2025 Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs COLING 2025 Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information WACV 2025 Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization EMNLP 2025 Making Language Models Robust Against Negation NAACL 2025 Making LVLMs Look Twice: Contrastive Decoding with Contrast Images ACL 2025 Making Text Embedders Few-Shot Learners ICLR 2025 MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset ACL 2025 MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification AAAI 2025