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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)

OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow AAAI 2025 OASIS: Order-Augmented Strategy for Improved Code Search ACL 2025 Oath Breakers at SemEval-2025 Task 06: PromiseEval SemEval 2025 Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization AutoML 2025 Object-aware Sound Source Localization via Audio-Visual Scene Understanding CVPR 2025 Objective drives the consistency of representational similarity across datasets ICML 2025 Object-Shot Enhanced Grounding Network for Egocentric Video CVPR 2025 ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects AAAI 2025 Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition CVPR 2025 OccMamba: Semantic Occupancy Prediction with State Space Models CVPR 2025 OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction ACL 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 ODDA: An OODA-Driven Diverse Data Augmentation Framework for Low-Resource Relation Extraction ACL 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 Odysseus Navigates the Sirens’ Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation ACL 2025 OffsetOPT: Explicit Surface Reconstruction without Normals CVPR 2025 OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation AAAI 2025 OG-RAG: Ontology-grounded retrieval-augmented generation for large language models EMNLP 2025 OldJoe at AVeriTeC: In-context learning for fact-checking ACL 2025 OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition AAAI 2025 O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views ICCV 2025 OmniAudio: Generating Spatial Audio from 360-Degree Video ICML 2025