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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)

Consistent Amortized Clustering via Generative Flow Networks AISTATS 2025 ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025 Constrained Sequential Inference in Machine Learning Using Constraint Programming IJCAI 2025 ConstStyle: Robust Domain Generalization with Unified Style Transformation ICCV 2025 Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty IJCAI 2025 Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025 Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation AAAI 2025 Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025 Context-Aware Hierarchical Merging for Long Document Summarization ACL 2025 Context is all you need? Low-resource conversational ASR profits from context, coming from the same or from the other speaker Interspeech 2025 Context is Key: A Benchmark for Forecasting with Essential Textual Information ICML 2025 Contextual Document Embeddings ICLR 2025 Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation Interspeech 2025 ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context AAAI 2025 Contextual Structure Knowledge Transfer for Graph Neural Networks AAAI 2025 Contextures: Representations from Contexts ICML 2025 Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025 Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis ICCV 2025 Continual Personalization for Diffusion Models ICCV 2025 Continual Pre-Training is (not) What You Need in Domain Adaptation ACML 2025 Continual SFT Matches Multimodal RLHF with Negative Supervision CVPR 2025 Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025 Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images ICLR 2025 Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence Interspeech 2025 Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation WACV 2025