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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)

Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation AAAI 2025 Self-Correcting Code Generation Using Small Language Models EMNLP 2025 Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks ACL 2025 Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning ACL 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025 Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025 Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation ACL 2025 Self-Improvement in Multimodal Large Language Models: A Survey EMNLP 2025 Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs ACL 2025 Self-Organizing Visual Prototypes for Non-Parametric Representation Learning ICML 2025 Self-Prompting Analogical Reasoning for UAV Object Detection AAAI 2025 Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst ACL 2025 Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment AAAI 2025 Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution CVPR 2025 Self-Supervised Learning for Color Spike Camera Reconstruction CVPR 2025 Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics ICCV 2025 Self-supervised learning of speech representations with Dutch archival data Interspeech 2025 Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation WACV 2025 Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction WACV 2025 Self-Supervised Models of Speech Processing for Haitian Creole Interspeech 2025 Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos ICCV 2025 Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images WACV 2025 Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025 Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching ACL 2025