Summary of Token-weighted Rnn-t For Learning From Flawed Data, by Gil Keren et al.
Token-Weighted RNN-T for Learning from Flawed Databy Gil Keren, Wei Zhou, Ozlem KalinliFirst submitted to…
Token-Weighted RNN-T for Learning from Flawed Databy Gil Keren, Wei Zhou, Ozlem KalinliFirst submitted to…
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regressionby Dongya Wu, Xin LiFirst…
CAT: Interpretable Concept-based Taylor Additive Modelsby Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang…
Why Line Search when you can Plane Search? SO-Friendly Neural Networks allow Per-Iteration Optimization of…
Learning Neural Networks with Sparse Activationsby Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu MekaFirst submitted…
Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterizationby Yaoyu Zhang, Leyang Zhang, Zhongwang…
Univariate Skeleton Prediction in Multivariate Systems Using Transformersby Giorgio Morales, John W. SheppardFirst submitted to…
Compositional Models for Estimating Causal Effectsby Purva Pruthi, David JensenFirst submitted to arxiv on: 25…
MD tree: a model-diagnostic tree grown on loss landscapeby Yefan Zhou, Jianlong Chen, Qinxue Cao,…
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learningby Jiaming YanFirst submitted…