Summary of Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory, by Xueyan Niu et al.
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memoryby Xueyan Niu, Bo Bai, Lei Deng,…
Summary of Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-mills Theory, by Tianji Cai et al.
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super…
Summary of Policy Gradient with Active Importance Sampling, by Matteo Papini et al.
Policy Gradient with Active Importance Samplingby Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello RestelliFirst…
Summary of Cra5: Extreme Compression Of Era5 For Portable Global Climate and Weather Research Via An Efficient Variational Transformer, by Tao Han et al.
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient…
Summary of Optimizing Calibration by Gaining Aware Of Prediction Correctness, By Yuchi Liu et al.
Optimizing Calibration by Gaining Aware of Prediction Correctnessby Yuchi Liu, Lei Wang, Yuli Zou, James…
Summary of Toward a Theory Of Tokenization in Llms, by Nived Rajaraman and Jiantao Jiao and Kannan Ramchandran
Toward a Theory of Tokenization in LLMsby Nived Rajaraman, Jiantao Jiao, Kannan RamchandranFirst submitted to…
Summary of Evaluating Large Language Models Using Contrast Sets: An Experimental Approach, by Manish Sanwal
Evaluating Large Language Models Using Contrast Sets: An Experimental Approachby Manish SanwalFirst submitted to arxiv…
Summary of Deep Learning with Parametric Lenses, by Geoffrey S. H. Cruttwell et al.
Deep Learning with Parametric Lensesby Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani, Paul Wilson,…
Summary of Boarding For Iss: Imbalanced Self-supervised: Discovery Of a Scaled Autoencoder For Mixed Tabular Datasets, by Samuel Stocksieker et al.
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasetsby Samuel…
Summary of Neural Loss Function Evolution For Large-scale Image Classifier Convolutional Neural Networks, by Brandon Morgan and Dean Hougen
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networksby Brandon Morgan, Dean HougenFirst…