Summary of Adapt to Robustify Prompt Tuning Vision Transformers, by Masih Eskandar et al.
ADAPT to Robustify Prompt Tuning Vision Transformersby Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer DyFirst…
Summary of Diversity-aware Agnostic Ensemble Of Sharpness Minimizers, by Anh Bui et al.
Diversity-Aware Agnostic Ensemble of Sharpness Minimizersby Anh Bui, Vy Vo, Tung Pham, Dinh Phung, Trung…
Summary of Nellie: Automated Organelle Segmentation, Tracking, and Hierarchical Feature Extraction in 2d/3d Live-cell Microscopy, by Austin E. Y. T. Lefebvre (1) et al.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopyby Austin E.…
Summary of On Safety in Safe Bayesian Optimization, by Christian Fiedler et al.
On Safety in Safe Bayesian Optimizationby Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian TrimpeFirst submitted…
Summary of Non-stationary Dueling Bandits Under a Weighted Borda Criterion, by Joe Suk and Arpit Agarwal
Non-Stationary Dueling Bandits Under a Weighted Borda Criterionby Joe Suk, Arpit AgarwalFirst submitted to arxiv…
Summary of Just Shift It: Test-time Prototype Shifting For Zero-shot Generalization with Vision-language Models, by Elaine Sui et al.
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Modelsby Elaine Sui, Xiaohan…
Summary of Whac: World-grounded Humans and Cameras, by Wanqi Yin et al.
WHAC: World-grounded Humans and Camerasby Wanqi Yin, Zhongang Cai, Ruisi Wang, Fanzhou Wang, Chen Wei,…
Summary of Llmlingua-2: Data Distillation For Efficient and Faithful Task-agnostic Prompt Compression, by Zhuoshi Pan et al.
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compressionby Zhuoshi Pan, Qianhui Wu, Huiqiang…
Summary of Entangling Machine Learning with Quantum Tensor Networks, by Constantijn Van Der Poel et al.
Entangling Machine Learning with Quantum Tensor Networksby Constantijn van der Poel, Dan ZhaoFirst submitted to…
Summary of Training Morphological Neural Networks with Gradient Descent: Some Theoretical Insights, by Samy Blusseau (cmm)
Training morphological neural networks with gradient descent: some theoretical insightsby Samy BlusseauFirst submitted to arxiv…