Summary of Why Do You Grok? a Theoretical Analysis Of Grokking Modular Addition, by Mohamad Amin Mohamadi et al.
Why Do You Grok? A Theoretical Analysis of Grokking Modular Additionby Mohamad Amin Mohamadi, Zhiyuan…
Summary of Object-aware Query Perturbation For Cross-modal Image-text Retrieval, by Naoya Sogi et al.
Object-Aware Query Perturbation for Cross-Modal Image-Text Retrievalby Naoya Sogi, Takashi Shibata, Makoto TeraoFirst submitted to…
Summary of Temporal Receptive Field in Dynamic Graph Learning: a Comprehensive Analysis, by Yannis Karmim (cedric – Vertigo) et al.
Temporal receptive field in dynamic graph learning: A comprehensive analysisby Yannis Karmim, Leshanshui Yang, Raphaël…
Summary of Maskvd: Region Masking For Efficient Video Object Detection, by Sreetama Sarkar et al.
MaskVD: Region Masking for Efficient Video Object Detectionby Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai…
Summary of Learning on Graphs with Large Language Models(llms): a Deep Dive Into Model Robustness, by Kai Guo et al.
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustnessby Kai Guo,…
Summary of Co-designing Binarized Transformer and Hardware Accelerator For Efficient End-to-end Edge Deployment, by Yuhao Ji et al.
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deploymentby Yuhao Ji, Chao Fang,…
Summary of Private Prediction For Large-scale Synthetic Text Generation, by Kareem Amin et al.
Private prediction for large-scale synthetic text generationby Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin,…
Summary of Enhancing Parameter Efficiency and Generalization in Large-scale Models: a Regularized and Masked Low-rank Adaptation Approach, by Yuzhu Mao et al.
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approachby…
Summary of Tiled Bit Networks: Sub-bit Neural Network Compression Through Reuse Of Learnable Binary Vectors, by Matt Gorbett et al.
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectorsby Matt Gorbett,…
Summary of A Benchmark For Fairness-aware Graph Learning, by Yushun Dong et al.
A Benchmark for Fairness-Aware Graph Learningby Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing…