Summary of Learn to Learn More Precisely, by Runxi Cheng et al.
Learn To Learn More Preciselyby Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang,…
Learn To Learn More Preciselyby Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang,…
Better Alignment with Instruction Back-and-Forth Translationby Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason…
Prioritize Alignment in Dataset Distillationby Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng,…
MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesisby Dongwei Xu, Jiajun Chen,…
One-Shot Collaborative Data Distillationby William Holland, Chandra Thapa, Sarah Ali Siddiqui, Wei Shao, Seyit CamtepeFirst…
Dataset Distillation for Offline Reinforcement Learningby Jonathan Light, Yuanzhe Liu, Ziniu HuFirst submitted to arxiv…
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarityby Kanghyun Choi, Hye…
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge…
Peak-Controlled Logits Poisoning Attack in Federated Distillationby Yuhan Tang, Aoxu Zhang, Zhiyuan Wu, Bo Gao,…
Unsqueeze [CLS] Bottleneck to Learn Rich Representationsby Qing Su, Shihao JiFirst submitted to arxiv on:…