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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)

SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization CVPR 2025 Superpowering Open-Vocabulary Object Detectors for X-ray Vision ICCV 2025 SuperRAG: Beyond RAG with Layout-Aware Graph Modeling NAACL 2025 Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion ICLR 2025 Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching ICML 2025 Supervised Exploratory Learning for Long-Tailed Visual Recognition ICCV 2025 Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025 Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool ACL 2025 Supervising Sound Localization by In-the-wild Egomotion CVPR 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025 SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning EMNLP 2025 SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Interspeech 2025 Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver AAAI 2025 Surprise Calibration for Better In-Context Learning EMNLP 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 SUTrack: Towards Simple and Unified Single Object Tracking AAAI 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025 SV-data2vec: Guiding Video Representation Learning with Latent Skeleton Targets WACV 2025 SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation COLING 2025 SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning ICCV 2025 SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation CVPR 2025 Swahili News Classification: Performance, Challenges, and Explainability Across ML, DL, and Transformers ACL 2025 Swap Path Network for Robust Person Search Pre-Training WACV 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025 SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions WACV 2025