Summary of Dimensionality-induced Information Loss Of Outliers in Deep Neural Networks, by Kazuki Uematsu et al.
Dimensionality-induced information loss of outliers in deep neural networksby Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki,…
Dimensionality-induced information loss of outliers in deep neural networksby Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki,…
The Effects of Multi-Task Learning on ReLU Neural Network Functionsby Julia Nakhleh, Joseph Shenouda, Robert…
Minimax optimality of deep neural networks on dependent data via PAC-Bayes boundsby Pierre Alquier, William…
Modular Duality in Deep Learningby Jeremy Bernstein, Laker NewhouseFirst submitted to arxiv on: 28 Oct…
Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noiseby Farnoush Baghestani, Mahdi Pirayesh Shirazi…
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?by Tae-Geun Kim, Seong Chan ParkFirst submitted to arxiv…
Neuro-symbolic Learning Yielding Logical Constraintsby Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu,…
Transferable Post-training via Inverse Value Learningby Xinyu Lu, Xueru Wen, Yaojie Lu, Bowen Yu, Hongyu…
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networksby Yongchang Hao, Yanshuai Cao,…
Prototypical Extreme Multi-label Classification with a Dynamic Margin Lossby Kunal Dahiya, Diego Ortego, David JiménezFirst…