Summary of Bowl: a Deceptively Simple Open World Learner, by Roshni .r. Kamath et al.
BOWL: A Deceptively Simple Open World Learnerby Roshni .R. Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian…
Summary of Curvature-informed Sgd Via General Purpose Lie-group Preconditioners, by Omead Pooladzandi and Xi-lin Li
Curvature-Informed SGD via General Purpose Lie-Group Preconditionersby Omead Pooladzandi, Xi-Lin LiFirst submitted to arxiv on:…
Summary of Domain Bridge: Generative Model-based Domain Forensic For Black-box Models, by Jiyi Zhang et al.
Domain Bridge: Generative model-based domain forensic for black-box modelsby Jiyi Zhang, Han Fang, Ee-Chien ChangFirst…
Summary of An Over Complete Deep Learning Method For Inverse Problems, by Moshe Eliasof et al.
An Over Complete Deep Learning Method for Inverse Problemsby Moshe Eliasof, Eldad Haber, Eran TreisterFirst…
Summary of Learning Under Temporal Label Noise, by Sujay Nagaraj et al.
Learning under Temporal Label Noiseby Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun,…
Summary of De-amplifying Bias From Differential Privacy in Language Model Fine-tuning, by Sanjari Srivastava et al.
De-amplifying Bias from Differential Privacy in Language Model Fine-tuningby Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang,…
Summary of Nercc: Nested-regression Coded Computing For Resilient Distributed Prediction Serving Systems, by Parsa Moradi et al.
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systemsby Parsa Moradi, Mohammad Ali Maddah-AliFirst…
Summary of Scaling Laws For Learning with Real and Surrogate Data, by Ayush Jain et al.
Scaling laws for learning with real and surrogate databy Ayush Jain, Andrea Montanari, Eren SasogluFirst…
Summary of Bounding the Excess Risk For Linear Models Trained on Marginal-preserving, Differentially-private, Synthetic Data, by Yvonne Zhou et al.
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Databy Yvonne Zhou,…
Summary of Counterfactual Generation with Answer Set Programming, by Sopam Dasgupta et al.
Counterfactual Generation with Answer Set Programmingby Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal…