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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)

OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning CVPR 2026 OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models CVPR 2026 ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026 OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation CVPR 2026 OMG-Bench: A New Challenging Benchmark for Skeleton-based Online Micro Hand Gesture Recognition CVPR 2026 Omni2Sound: Towards Unified Video-Text-to-Audio Generation CVPR 2026 Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection CVPR 2026 Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization CVPR 2026 Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval ACL 2026 Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection CVPR 2026 OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion CVPR 2026 OmniGen2: Towards Instruction-Aligned Multimodal Generation CVPR 2026 OmniNet: A Multi-Modality Neural Network for Robust Remote Respiratory Rate Measurement from Facial Video MIDL 2026 OmniOData: Unleashing Small Language Models for OData Query Generation with Synthetic Data and Reinforcement Learning ACL 2026 Omni-RewardBench: Toward a Comprehensive Evaluation of Generative Reward Models Across Modalities ACL 2026 OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text CVPR 2026 OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding CVPR 2026 OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data CVPR 2026 OMoBlur: An Object Motion Blur Dataset and Benchmark for Real-World Local Motion Deblurring CVPR 2026 On Causal Representation Learning with Internal Auxiliaries UAI 2026 One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology MIDL 2026 One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment ACL 2026 One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework CVPR 2026 One-Shot Federated Learning based on Random Feature Extractor UAI 2026 OneSparse: A Unified Framework for Sparse Activation Layers in Vision Models CVPR 2026