Summary of Hyperbolic Learning with Multimodal Large Language Models, by Paolo Mandica et al.
Hyperbolic Learning with Multimodal Large Language Modelsby Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk,…
Summary of An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought Stress Identification, by Aswini Kumar Patra et al.
An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought…
Summary of Embedding Space Selection For Detecting Memorization and Fingerprinting in Generative Models, by Jack He et al.
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Modelsby Jack He, Jianxing Zhao,…
Summary of Mixture Of Nested Experts: Adaptive Processing Of Visual Tokens, by Gagan Jain et al.
Mixture of Nested Experts: Adaptive Processing of Visual Tokensby Gagan Jain, Nidhi Hegde, Aditya Kusupati,…
Summary of Mimiq: Low-bit Data-free Quantization Of Vision Transformers with Encouraging Inter-head Attention Similarity, by Kanghyun Choi et al.
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarityby Kanghyun Choi, Hye…
Summary of Quasar-vit: Hardware-oriented Quantization-aware Architecture Search For Vision Transformers, by Zhengang Li et al.
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformersby Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun…
Summary of S-e Pipeline: a Vision Transformer (vit) Based Resilient Classification Pipeline For Medical Imaging Against Adversarial Attacks, by Neha a S et al.
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial…
Summary of Reconstructing Training Data From Real World Models Trained with Transfer Learning, by Yakir Oz et al.
Reconstructing Training Data From Real World Models Trained with Transfer Learningby Yakir Oz, Gilad Yehudai,…
Summary of Efficient Visual Transformer by Learnable Token Merging, By Yancheng Wang et al.
Efficient Visual Transformer by Learnable Token Mergingby Yancheng Wang, Yingzhen YangFirst submitted to arxiv on:…
Summary of X-former: Unifying Contrastive and Reconstruction Learning For Mllms, by Sirnam Swetha et al.
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMsby Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad…