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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization ICCV 2025 MAGMA: Manifold Regularization for MAEs WACV 2025 MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities ACL 2025 Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation ACL 2025 Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ICLR 2025 MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation ACL 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 Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025 Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning ACL 2025 Making LVLMs Look Twice: Contrastive Decoding with Contrast Images ACL 2025 Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning EMNLP 2025 MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025 Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space IJCAI 2025 Mamba-based Hybrid Model for Speech Enhancement Interspeech 2025 MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps CVPR 2025 MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025 Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025 Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion ICLR 2025 ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning CVPR 2025 MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025 Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence AAAI 2025 Many-Objective Multi-Solution Transport ICLR 2025