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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)

Scalable Vision Language Model Training via High Quality Data Curation ACL 2025 Scalable Vision-Language Understanding and Generation AAAI 2025 Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection ICLR 2025 Scale-Free Graph-Language Models ICLR 2025 ScaleLSD: Scalable Deep Line Segment Detection Streamlined CVPR 2025 ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation AAAI 2025 Scaling and evaluating sparse autoencoders ICLR 2025 Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025 Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025 Scaling Language-Free Visual Representation Learning ICCV 2025 Scaling Laws for Multilingual Language Models ACL 2025 Scaling Laws for Pre-training Agents and World Models ICML 2025 Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining ICLR 2025 Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text EMNLP 2025 Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ACL 2025 Scaling Trends in Language Model Robustness ICML 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025 Scaling Under-Resourced TTS: A Data-Optimized Framework with Advanced Acoustic Modeling for Thai ACL 2025 Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025 Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML ICLR 2025 SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency ICCV 2025 ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction ACL 2025 Scene-Centric Unsupervised Panoptic Segmentation CVPR 2025 SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining ICCV 2025 SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval ICML 2025