Summary of Nuclear Norm Regularization For Deep Learning, by Christopher Scarvelis et al.
Nuclear Norm Regularization for Deep Learningby Christopher Scarvelis, Justin SolomonFirst submitted to arxiv on: 23…
Summary of This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization, by Anthony Bardou et al.
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimizationby Anthony Bardou, Patrick Thiran,…
Summary of Causal Effect Identification in a Sub-population with Latent Variables, by Amir Mohammad Abouei et al.
Causal Effect Identification in a Sub-Population with Latent Variablesby Amir Mohammad Abouei, Ehsan Mokhtarian, Negar…
Summary of Fuse: Fast Unified Simulation and Estimation For Pdes, by Levi E. Lingsch et al.
FUSE: Fast Unified Simulation and Estimation for PDEsby Levi E. Lingsch, Dana Grund, Siddhartha Mishra,…
Summary of Subtle Biases Need Subtler Measures: Dual Metrics For Evaluating Representative and Affinity Bias in Large Language Models, by Abhishek Kumar et al.
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large…
Summary of Ehrmamba: Towards Generalizable and Scalable Foundation Models For Electronic Health Records, by Adibvafa Fallahpour et al.
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Recordsby Adibvafa Fallahpour, Mahshid Alinoori,…
Summary of Androidworld: a Dynamic Benchmarking Environment For Autonomous Agents, by Christopher Rawles et al.
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentsby Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan…
Summary of Learning with Fitzpatrick Losses, by Seta Rakotomandimby et al.
Learning with Fitzpatrick Lossesby Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu BlondelFirst submitted to…
Summary of Representation Noising: a Defence Mechanism Against Harmful Finetuning, by Domenic Rosati et al.
Representation Noising: A Defence Mechanism Against Harmful Finetuningby Domenic Rosati, Jan Wehner, Kai Williams, Łukasz…
Summary of Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling, by Shuaipeng Li et al.
Surge Phenomenon in Optimal Learning Rate and Batch Size Scalingby Shuaipeng Li, Penghao Zhao, Hailin…