Summary of Dimensions Underlying the Representational Alignment Of Deep Neural Networks with Humans, by Florian P. Mahner et al.
Dimensions underlying the representational alignment of deep neural networks with humansby Florian P. Mahner, Lukas…
Summary of Adaptive Stochastic Weight Averaging, by Caglar Demir et al.
Adaptive Stochastic Weight Averagingby Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga NgomoFirst submitted to arxiv on:…
Summary of Resolving Discrepancies in Compute-optimal Scaling Of Language Models, by Tomer Porian et al.
Resolving Discrepancies in Compute-Optimal Scaling of Language Modelsby Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig…
Summary of Density Ratio Estimation Via Sampling Along Generalized Geodesics on Statistical Manifolds, by Masanari Kimura and Howard Bondell
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifoldsby Masanari Kimura, Howard BondellFirst…
Summary of Decoding-time Language Model Alignment with Multiple Objectives, by Ruizhe Shi et al.
Decoding-Time Language Model Alignment with Multiple Objectivesby Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu,…
Summary of Predicting the Duration Of Traffic Incidents For Sydney Greater Metropolitan Area Using Machine Learning Methods, by Artur Grigorev et al.
Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methodsby…
Summary of From Biased Selective Labels to Pseudo-labels: An Expectation-maximization Framework For Learning From Biased Decisions, by Trenton Chang and Jenna Wiens
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisionsby Trenton…
Summary of Qbi: Quantile-based Bias Initialization For Efficient Private Data Reconstruction in Federated Learning, by Micha V. Nowak et al.
QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learningby Micha V. Nowak,…
Summary of Ado-llm: Analog Design Bayesian Optimization with In-context Learning Of Large Language Models, by Yuxuan Yin et al.
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Modelsby Yuxuan Yin, Yu…
Summary of Aligning Model Properties Via Conformal Risk Control, by William Overman et al.
Aligning Model Properties via Conformal Risk Controlby William Overman, Jacqueline Jil Vallon, Mohsen BayatiFirst submitted…