Summary of Universal In-context Approximation by Prompting Fully Recurrent Models, By Aleksandar Petrov et al.
Universal In-Context Approximation By Prompting Fully Recurrent Modelsby Aleksandar Petrov, Tom A. Lamb, Alasdair Paren,…
Summary of Attention-based Iterative Decomposition For Tensor Product Representation, by Taewon Park et al.
Attention-based Iterative Decomposition for Tensor Product Representationby Taewon Park, Inchul Choi, Minho LeeFirst submitted to…
Summary of Evidence Of Learned Look-ahead in a Chess-playing Neural Network, by Erik Jenner et al.
Evidence of Learned Look-Ahead in a Chess-Playing Neural Networkby Erik Jenner, Shreyas Kapur, Vasil Georgiev,…
Summary of Gate: How to Keep Out Intrusive Neighbors, by Nimrah Mustafa and Rebekka Burkholz
GATE: How to Keep Out Intrusive Neighborsby Nimrah Mustafa, Rebekka BurkholzFirst submitted to arxiv on:…
Summary of Interpretabnet: Distilling Predictive Signals From Tabular Data by Salient Feature Interpretation, By Jacob Si et al.
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretationby Jacob Si, Wendy Yusi…
Summary of Case: Efficient Curricular Data Pre-training For Building Assistive Psychology Expert Models, by Sarthak Harne et al.
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Modelsby Sarthak Harne, Monjoy Narayan…
Summary of From Unstructured Data to In-context Learning: Exploring What Tasks Can Be Learned and When, by Kevin Christian Wibisono et al.
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and Whenby Kevin…
Summary of Stat: Shrinking Transformers After Training, by Megan Flynn et al.
STAT: Shrinking Transformers After Trainingby Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa,…
Summary of Decision Mamba: Reinforcement Learning Via Hybrid Selective Sequence Modeling, by Sili Huang et al.
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modelingby Sili Huang, Jifeng Hu, Zhejian Yang,…
Summary of An Attention-based Multi-context Convolutional Encoder-decoder Neural Network For Work Zone Traffic Impact Prediction, by Qinhua Jiang et al.
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Predictionby Qinhua Jiang,…