Summary of Training Guarantees Of Neural Network Classification Two-sample Tests by Kernel Analysis, By Varun Khurana et al.
Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysisby Varun Khurana, Xiuyuan Cheng,…
Summary of Simplifying Deep Temporal Difference Learning, by Matteo Gallici et al.
Simplifying Deep Temporal Difference Learningby Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja,…
Summary of Fair Submodular Cover, by Wenjing Chen et al.
Fair Submodular Coverby Wenjing Chen, Shuo Xing, Samson Zhou, Victoria G. CrawfordFirst submitted to arxiv…
Summary of D3: Deep Deconvolution Deblurring For Natural Images, by Vamsidhar Saraswathula and Rama Krishna Gorthi (indian Institute Of Technology (iit) Tirupati et al.
D3: Deep Deconvolution Deblurring for Natural Imagesby Vamsidhar Saraswathula, Rama Krishna GorthiFirst submitted to arxiv…
Summary of Rpn: Reconciled Polynomial Network Towards Unifying Pgms, Kernel Svms, Mlp and Kan, by Jiawei Zhang
RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KANby Jiawei ZhangFirst submitted…
Summary of Associative Recurrent Memory Transformer, by Ivan Rodkin et al.
Associative Recurrent Memory Transformerby Ivan Rodkin, Yuri Kuratov, Aydar Bulatov, Mikhail BurtsevFirst submitted to arxiv…
Summary of Mj-bench: Is Your Multimodal Reward Model Really a Good Judge For Text-to-image Generation?, by Zhaorun Chen et al.
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?by Zhaorun Chen,…
Summary of Amazing Things Come From Having Many Good Models, by Cynthia Rudin et al.
Amazing Things Come From Having Many Good Modelsby Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo…
Summary of Explorative Imitation Learning: a Path Signature Approach For Continuous Environments, by Nathan Gavenski et al.
Explorative Imitation Learning: A Path Signature Approach for Continuous Environmentsby Nathan Gavenski, Juarez Monteiro, Felipe…
Summary of Explainable Metric Learning For Deflating Data Bias, by Emma Andrews and Prabhat Mishra
Explainable Metric Learning for Deflating Data Biasby Emma Andrews, Prabhat MishraFirst submitted to arxiv on:…