Summary of Implicit Hypersurface Approximation Capacity in Deep Relu Networks, by Jonatan Vallin et al.
Implicit Hypersurface Approximation Capacity in Deep ReLU Networksby Jonatan Vallin, Karl Larsson, Mats G. LarsonFirst…
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 Data Overfitting For On-device Super-resolution with Dynamic Algorithm and Compiler Co-design, by Gen Li et al.
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Designby Gen Li, Zhihao Shu,…
Summary of Siamtst: a Novel Representation Learning Framework For Enhanced Multivariate Time Series Forecasting Applied to Telco Networks, by Simen Kristoffersen et al.
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco…
Summary of Qsync: Quantization-minimized Synchronous Distributed Training Across Hybrid Devices, by Juntao Zhao et al.
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devicesby Juntao Zhao, Borui Wan, Yanghua Peng, Haibin…
Summary of Efficient Nearest Neighbor Based Uncertainty Estimation For Natural Language Processing Tasks, by Wataru Hashimoto et al.
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasksby Wataru Hashimoto, Hidetaka Kamigaito,…
Summary of Counterfactual Data Augmentation with Denoising Diffusion For Graph Anomaly Detection, by Chunjing Xiao et al.
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detectionby Chunjing Xiao, Shikang Pang, Xovee…
Summary of On the Expressive Power Of Sparse Geometric Mpnns, by Yonatan Sverdlov and Nadav Dym
On the Expressive Power of Sparse Geometric MPNNsby Yonatan Sverdlov, Nadav DymFirst submitted to arxiv…
Summary of Weight Clipping For Deep Continual and Reinforcement Learning, by Mohamed Elsayed et al.
Weight Clipping for Deep Continual and Reinforcement Learningby Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A.…
Summary of Kolmogorov-arnold Convolutions: Design Principles and Empirical Studies, by Ivan Drokin
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studiesby Ivan DrokinFirst submitted to arxiv on: 1 Jul…