Summary of Large Language Model Unlearning Via Embedding-corrupted Prompts, by Chris Yuhao Liu et al.
Large Language Model Unlearning via Embedding-Corrupted Promptsby Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang…
Summary of Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-aware Minimization, by Jiaxin Deng et al.
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimizationby Jiaxin Deng, Junbiao Pang, Baochang ZhangFirst…
Summary of From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers, by Swaminathan Gurumurthy et al.
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layersby Swaminathan…
Summary of The Max-min Formulation Of Multi-objective Reinforcement Learning: From Theory to a Model-free Algorithm, by Giseung Park et al.
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithmby Giseung Park,…
Summary of Alps: Improved Optimization For Highly Sparse One-shot Pruning For Large Language Models, by Xiang Meng et al.
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Modelsby Xiang Meng, Kayhan…
Summary of Investigating the Potential Of Using Large Language Models For Scheduling, by Deddy Jobson et al.
Investigating the Potential of Using Large Language Models for Schedulingby Deddy Jobson, Yilin LiFirst submitted…
Summary of Diagnosing and Fixing Common Problems in Bayesian Optimization For Molecule Design, by Austin Tripp et al.
Diagnosing and fixing common problems in Bayesian optimization for molecule designby Austin Tripp, José Miguel…
Summary of Loss Gradient Gaussian Width Based Generalization and Optimization Guarantees, by Arindam Banerjee et al.
Loss Gradient Gaussian Width based Generalization and Optimization Guaranteesby Arindam Banerjee, Qiaobo Li, Yingxue ZhouFirst…
Summary of Textgrad: Automatic “differentiation” Via Text, by Mert Yuksekgonul et al.
TextGrad: Automatic “Differentiation” via Textby Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang,…
Summary of Deep Implicit Optimization Enables Robust Learnable Features For Deformable Image Registration, by Rohit Jena et al.
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registrationby Rohit Jena, Pratik Chaudhari,…