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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)

MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining CVPR 2025 MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025 MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation IJCAI 2025 MarathiEmoExplain: A Dataset for Sentiment, Emotion, and Explanation in Low-Resource Marathi EMNLP 2025 Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support EMNLP 2025 Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion ICCV 2025 MaRI: Material Retrieval Integration across Domains CVPR 2025 MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering ACL 2025 Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025 MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems AAAI 2025 MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation CVPR 2025 Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs EMNLP 2025 MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding EMNLP 2025 MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking IJCAI 2025 Masked Diffusion Captioning for Visual Feature Learning EMNLP 2025 Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025 [MASK]ED - Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse. EMNLP 2025 Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding CVPR 2025 Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding CVPR 2025 Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More ICML 2025 MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer ICLR 2025 Masking meets Supervision: A Strong Learning Alliance CVPR 2025 MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts AAAI 2025