Summary of Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks, by Jingchi Jiang et al.
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networksby Jingchi Jiang, Rujia Shen, Boran Wang,…
Summary of A Recipe For Unbounded Data Augmentation in Visual Reinforcement Learning, by Abdulaziz Almuzairee et al.
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learningby Abdulaziz Almuzairee, Nicklas Hansen, Henrik…
Summary of Hardness-aware Scene Synthesis For Semi-supervised 3d Object Detection, by Shuai Zeng et al.
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detectionby Shuai Zeng, Wenzhao Zheng, Jiwen Lu, Haibin…
Summary of On Margin-based Generalization Prediction in Deep Neural Networks, by Coenraad Mouton
On margin-based generalization prediction in deep neural networksby Coenraad MoutonFirst submitted to arxiv on: 20…
Summary of Fedhpl: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation, by Yuting Ma et al.
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillationby Yuting Ma, Lechao Cheng,…
Summary of Simplicity Bias Of Two-layer Networks Beyond Linearly Separable Data, by Nikita Tsoy et al.
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Databy Nikita Tsoy, Nikola KonstantinovFirst submitted to…
Summary of Exploiting the Layered Intrinsic Dimensionality Of Deep Models For Practical Adversarial Training, by Enes Altinisik et al.
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Trainingby Enes Altinisik, Safa…
Summary of Spectral Regularization For Adversarially-robust Representation Learning, by Sheng Yang et al.
Spectral regularization for adversarially-robust representation learningby Sheng Yang, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Summary of Benchmarking General-purpose In-context Learning, by Fan Wang et al.
Benchmarking General-Purpose In-Context Learningby Fan Wang, Chuan Lin, Yang Cao, Yu KangFirst submitted to arxiv…
Summary of Demystifying Amortized Causal Discovery with Transformers, by Francesco Montagna et al.
Demystifying amortized causal discovery with transformersby Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco LocatelloFirst submitted…