Summary of Berter: the Efficient One, by Pradyumna Saligram et al.
BERTer: The Efficient Oneby Pradyumna Saligram, Andrew LanpouthakounFirst submitted to arxiv on: 19 Jul 2024CategoriesMain:…
Summary of Revisiting Attention For Multivariate Time Series Forecasting, by Haixiang Wu
Revisiting Attention for Multivariate Time Series Forecastingby Haixiang WuFirst submitted to arxiv on: 18 Jul…
Summary of Linr: Model Based Neural Retrieval on Gpus at Linkedin, by Fedor Borisyuk et al.
LiNR: Model Based Neural Retrieval on GPUs at LinkedInby Fedor Borisyuk, Qingquan Song, Mingzhou Zhou,…
Summary of Transformers with Stochastic Competition For Tabular Data Modelling, by Andreas Voskou et al.
Transformers with Stochastic Competition for Tabular Data Modellingby Andreas Voskou, Charalambos Christoforou, Sotirios ChatzisFirst submitted…
Summary of Whitening Not Recommended For Classification Tasks in Llms, by Ali Forooghi et al.
Whitening Not Recommended for Classification Tasks in LLMsby Ali Forooghi, Shaghayegh Sadeghi, Jianguo LuFirst submitted…
Summary of Counting in Small Transformers: the Delicate Interplay Between Attention and Feed-forward Layers, by Freya Behrens et al.
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layersby Freya Behrens, Luca…
Summary of No Train, All Gain: Self-supervised Gradients Improve Deep Frozen Representations, by Walter Simoncini et al.
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representationsby Walter Simoncini, Spyros Gidaris, Andrei…
Summary of Improving Hyperbolic Representations Via Gromov-wasserstein Regularization, by Yifei Yang et al.
Improving Hyperbolic Representations via Gromov-Wasserstein Regularizationby Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad LermanFirst submitted…
Summary of Balancing the Scales: Reinforcement Learning For Fair Classification, by Leon Eshuijs et al.
Balancing the Scales: Reinforcement Learning for Fair Classificationby Leon Eshuijs, Shihan Wang, Antske FokkensFirst submitted…
Summary of Rapid-seg: Range-aware Pointwise Distance Distribution Networks For 3d Lidar Segmentation, by Li Li et al.
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentationby Li Li, Hubert P. H.…