Summary of Leveraging Large Language Models For Solving Rare Mip Challenges, by Teng Wang et al.
Leveraging Large Language Models for Solving Rare MIP Challengesby Teng Wang, Wing-Yin Yu, Ruifeng She,…
Summary of Watermas: Sharpness-aware Maximization For Neural Network Watermarking, by Carl De Sousa Trias et al.
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarkingby Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti,…
Summary of A Greedy Hierarchical Approach to Whole-network Filter-pruning in Cnns, by Kiran Purohit et al.
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNsby Kiran Purohit, Anurag Reddy Parvathgari, Sourangshu…
Summary of Edge Ai: Evaluation Of Model Compression Techniques For Convolutional Neural Networks, by Samer Francy et al.
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networksby Samer Francy, Raghubir SinghFirst…
Summary of Revisiting Smoe Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning, By Soumajyoti Sarkar et al.
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruningby Soumajyoti Sarkar, Leonard…
Summary of Quantifying Emergence in Neural Networks: Insights From Pruning and Training Dynamics, by Faisal Alshinaifi et al.
Quantifying Emergence in Neural Networks: Insights from Pruning and Training Dynamicsby Faisal AlShinaifi, Zeyad Almoaigel,…
Summary of Adversarial Pruning: a Survey and Benchmark Of Pruning Methods For Adversarial Robustness, by Giorgio Piras et al.
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustnessby Giorgio Piras, Maura…
Summary of Compressing Vae-based Out-of-distribution Detectors For Embedded Deployment, by Aditya Bansal et al.
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deploymentby Aditya Bansal, Michael Yuhas, Arvind EaswaranFirst submitted to…
Summary of Beyond Efficiency: Molecular Data Pruning For Enhanced Generalization, by Dingshuo Chen et al.
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalizationby Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin…
Summary of Contextcite: Attributing Model Generation to Context, by Benjamin Cohen-wang et al.
ContextCite: Attributing Model Generation to Contextby Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander MadryFirst submitted…