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TitleStatusHype
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RLCode1
Not All Patches are What You Need: Expediting Vision Transformers via Token ReorganizationsCode1
pNLP-Mixer: an Efficient all-MLP Architecture for LanguageCode1
It's All in the Head: Representation Knowledge Distillation through Classifier SharingCode1
Cost Aggregation Is All You Need for Few-Shot SegmentationCode1
Danna-Sep: Unite to separate them allCode1
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC TasksCode1
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial RobustnessCode1
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather ConditionsCode1
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