【读论文】274 Tip-Adapter: Training-free Adaption CLIP for Few-shot Classification
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【读论文】CLIP-Adapter: Vision-Language Models with Feature Adapters
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【读论文】214 Sharpness-Aware Training for Free
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【读论文】CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
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比啃书爽！逻辑回归、KNN、决策树、贝叶斯、SVM、随机森林、PCA、k-means、线性回归完整版机器学习算法教程直接一口气学通畅!!!
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【读论文】218 多模态预训练 VLMo 和 VL-BEIT
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强推！这可能是B站最全的（Python＋机器学习＋深度学习）系列课程了，堪称人工智能系列课程的巅峰之作！-人工智能/深度学习/机器学习
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Conditional Self-Supervised Learning for Few-Shot Classification
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【读论文】281 LiT 和 CiT 训练CLIP using locked-image encoder and effective data
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【读论文】208 MiniRocket: Very Fast Deterministic Time Series Classification
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【自娱自阅】Uncertainty-aware Self-training for Few-shot Text Classification
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【自娱自阅】Self-training for Few-shot Transfer Across Extreme Task Differences
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【读论文】204 Improved Trainable Calibration Method on Medical Imaging Classification
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【读论文】248 Training Generative Adversarial Networks in One Stage
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【读论文】244 Hypergraph Neural Networks
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【自娱自阅】Text Classification Using Label Names Only A LM self-training way
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【读论文】156 Feature Projection for Improved Text Classification
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【读论文】283 Unsupervised Person Re-identification via Multi-label Classification
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怎么样保持每天看文献？
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【YOLOv10】12分钟通关YOLOv10，环境搭建、模型训练、验证推理、导出、数据集
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【读论文】252 Dual Contradistinctive Generative Autoencoder
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【读论文】236 StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
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【读论文】187 Complement Objective Training
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论文有救了！【AI+医疗】刷爆B站最好的医学影像识别技术教程！从理论到科研！临床研究、影像组成、SCI论文解读、Python机器学习、数据处理
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这才是科研人该学的！一口气学完线性回归、多项式回归、决策树等十大回归模型，从原理到实战，太通俗易懂了，比啃书强太多了！机器学习|深度学习|计算机视觉|人工智能
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【读论文】287 Training Interpretable CNN by Differentiating Class-specific Filters
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【走马观图】LERF: 3D场景中查询检索物品 利用CLIP+NeRF
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【读论文】171 Be Your Own Teacher: Improve CNN via Self Distillation
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【读论文】227 Efficient Training of Visual Transformers with Small Datasets
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【抛砖引玉】4 Maybe Faster Easier Mitigating Implicit Bias in Text Classification
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【读论文】235 DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
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【6分钟版】 无监督目标检测Unsupervised Object Detection with LiDAR Clues
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【读论文】186 Well-classified Examples are Underestimated in Classification with DNN
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【读论文】195 Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models
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【读论文】175 AEDA: An Easier Data Augmentation Technique for Text Classification
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【读论文】278 无监督目标发现定位检测 Localizing objects without labels
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【读论文】209 LightGCN Simplifying Graph Convolution Network for Recommendation
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【读论文】183 MixText: Hidden Space MixUp for Semi-Supervised Text Classification
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【读论文】222 Accelerating Diffusion Models via Early Stop of the Diffusion Process
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【读论文】180 Active Learning at the ImageNet Scale
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【读论文】188 You never cluster Alone