Summary of Towards Gradient-based Time-series Explanations Through a Spatiotemporal Attention Network, by Min Hun Lee
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Networkby Min Hun LeeFirst submitted to arxiv…
Summary of Transformer In-context Learning For Categorical Data, by Aaron T. Wang and Ricardo Henao and Lawrence Carin
Transformer In-Context Learning for Categorical Databy Aaron T. Wang, Ricardo Henao, Lawrence CarinFirst submitted to…
Summary of Dpn: Decoupling Partition and Navigation For Neural Solvers Of Min-max Vehicle Routing Problems, by Zhi Zheng et al.
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problemsby Zhi Zheng,…
Summary of Learning with User-level Local Differential Privacy, by Puning Zhao et al.
Learning with User-Level Local Differential Privacyby Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen…
Summary of Disentangling and Integrating Relational and Sensory Information in Transformer Architectures, by Awni Altabaa and John Lafferty
Disentangling and Integrating Relational and Sensory Information in Transformer Architecturesby Awni Altabaa, John LaffertyFirst submitted…
Summary of Zamba: a Compact 7b Ssm Hybrid Model, by Paolo Glorioso et al.
Zamba: A Compact 7B SSM Hybrid Modelby Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington,…
Summary of Variance-reducing Couplings For Random Features, by Isaac Reid et al.
Variance-Reducing Couplings for Random Featuresby Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian…
Summary of Explaining Modern Gated-linear Rnns Via a Unified Implicit Attention Formulation, by Itamar Zimerman et al.
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulationby Itamar Zimerman, Ameen Ali, Lior…
Summary of Understanding the Effect Of Using Semantically Meaningful Tokens For Visual Representation Learning, by Neha Kalibhat et al.
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learningby Neha Kalibhat, Priyatham…
Summary of Tensor Attention Training: Provably Efficient Learning Of Higher-order Transformers, by Yingyu Liang et al.
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformersby Yingyu Liang, Zhenmei Shi, Zhao Song,…