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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)

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines CVPR 2025 UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025 UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion WACV 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks AAAI 2025 UnityAI Guard: Pioneering Toxicity Detection Across Low-Resource Indian Languages EMNLP 2025 UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection CVPR 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment EMNLP 2025 Universal Domain Adaptation for Semantic Segmentation CVPR 2025 Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment AAAI 2025 Universal Features Guided Zero-Shot Category-Level Object Pose Estimation AAAI 2025 Universal Graph Self-Contrastive Learning IJCAI 2025 Universal Image Restoration Pre-training via Degradation Classification ICLR 2025 Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems AAAI 2025 Universal Scene Graph Generation CVPR 2025 UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing ICCV 2025 Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition ICCV 2025 Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy ICLR 2025 UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unlearning the Noisy Correspondence Makes CLIP More Robust ICCV 2025 Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation CVPR 2025 Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch ACL 2025 Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection WACV 2025