Summary of Neural Probabilistic Logic Learning For Knowledge Graph Reasoning, by Fengsong Sun et al.
Neural Probabilistic Logic Learning for Knowledge Graph Reasoningby Fengsong Sun, Jinyu Wang, Zhiqing Wei, Xianchao…
Summary of Representation Learning with Cgan For Casual Inference, by Zhaotian Weng et al.
Representation learning with CGAN for casual inferenceby Zhaotian Weng, Jianbo Hong, Lan WangFirst submitted to…
Summary of Membership Inference Attacks Against Time-series Models, by Noam Koren et al.
Membership Inference Attacks Against Time-Series Modelsby Noam Koren, Abigail Goldsteen, Guy Amit, Ariel FarkashFirst submitted…
Summary of Shiftaddaug: Augment Multiplication-free Tiny Neural Network with Hybrid Computation, by Yipin Guo et al.
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computationby Yipin Guo, Zihao Li, Yilin Lang,…
Summary of Sfc: Achieve Accurate Fast Convolution Under Low-precision Arithmetic, by Liulu He et al.
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmeticby Liulu He, Yufei Zhao, Rui Gao, Yuan…
Summary of No Training, No Problem: Rethinking Classifier-free Guidance For Diffusion Models, by Seyedmorteza Sadat et al.
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Modelsby Seyedmorteza Sadat, Manuel Kansy, Otmar…
Summary of Advancing Compressed Video Action Recognition Through Progressive Knowledge Distillation, by Efstathia Soufleri et al.
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillationby Efstathia Soufleri, Deepak Ravikumar, Kaushik RoyFirst…
Summary of Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature, by Deepak Ravikumar et al.
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvatureby Deepak Ravikumar, Efstathia Soufleri, Kaushik…
Summary of Splitz: Certifiable Robustness Via Split Lipschitz Randomized Smoothing, by Meiyu Zhong et al.
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothingby Meiyu Zhong, Ravi TandonFirst submitted to arxiv…
Summary of Scalable Multi-output Gaussian Processes with Stochastic Variational Inference, by Xiaoyu Jiang et al.
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inferenceby Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio…