Summary of I Can’t See It but I Can Fine-tune It: on Encrypted Fine-tuning Of Transformers Using Fully Homomorphic Encryption, by Prajwal Panzade et al.
I can’t see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using…
Summary of Experts Don’t Cheat: Learning What You Don’t Know by Predicting Pairs, By Daniel D. Johnson et al.
Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairsby Daniel D. Johnson, Daniel…
Summary of Sae: Single Architecture Ensemble Neural Networks, by Martin Ferianc et al.
SAE: Single Architecture Ensemble Neural Networksby Martin Ferianc, Hongxiang Fan, Miguel RodriguesFirst submitted to arxiv…
Summary of Knowledge Graphs Meet Multi-modal Learning: a Comprehensive Survey, by Zhuo Chen et al.
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Surveyby Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia…
Summary of Source-free Domain Adaptation with Diffusion-guided Source Data Generation, by Shivang Chopra et al.
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generationby Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman…
Summary of Improved Generalization Of Weight Space Networks Via Augmentations, by Aviv Shamsian et al.
Improved Generalization of Weight Space Networks via Augmentationsby Aviv Shamsian, Aviv Navon, David W. Zhang,…
Summary of Synthvision — Harnessing Minimal Input For Maximal Output in Computer Vision Models Using Synthetic Image Data, by Yudara Kularathne et al.
SynthVision – Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image…
Summary of Image-caption Encoding For Improving Zero-shot Generalization, by Eric Yang Yu et al.
Image-Caption Encoding for Improving Zero-Shot Generalizationby Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis,…
Summary of Foundation Model Makes Clustering a Better Initialization For Cold-start Active Learning, by Han Yuan and Chuan Hong
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learningby Han Yuan, Chuan HongFirst…
Summary of Noah: Learning Pairwise Object Category Attentions For Image Classification, by Chao Li et al.
NOAH: Learning Pairwise Object Category Attentions for Image Classificationby Chao Li, Aojun Zhou, Anbang YaoFirst…