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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)

Oath Breakers at SemEval-2025 Task 06: PromiseEval SemEval 2025 Object-Centric Pretraining via Target Encoder Bootstrapping ICLR 2025 Objective drives the consistency of representational similarity across datasets ICML 2025 Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025 Object-level Correlation for Few-Shot Segmentation ICCV 2025 ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives ICCV 2025 OccFlowNet: Occupancy Estimation via Differentiable Rendering and Occupancy Flow WACV 2025 Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy ICLR 2025 Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition CVPR 2025 Occupancy Learning with Spatiotemporal Memory ICCV 2025 OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction ACL 2025 OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS ICCV 2025 Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding CVPR 2025 ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining CVPR 2025 ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks AAAI 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models CVPR 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 Offline RL via Feature-Occupancy Gradient Ascent AISTATS 2025 Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood ICLR 2025 Offline Safe Reinforcement Learning Using Trajectory Classification AAAI 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025 Off-policy Predictive Control with Causal Sensitivity Analysis UAI 2025 OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation AAAI 2025