Summary of Efficient Backpropagation with Variance-controlled Adaptive Sampling, by Ziteng Wang et al.
Efficient Backpropagation with Variance-Controlled Adaptive Samplingby Ziteng Wang, Jianfei Chen, Jun ZhuFirst submitted to arxiv…
Efficient Backpropagation with Variance-Controlled Adaptive Samplingby Ziteng Wang, Jianfei Chen, Jun ZhuFirst submitted to arxiv…
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updatesby Daniele Angioni, Luca Demetrio, Maura Pintor,…
Personalized Federated Instruction Tuning via Neural Architecture Searchby Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian…
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuningby Aivin V. SolatorioFirst submitted…
Asymmetry in Low-Rank Adapters of Foundation Modelsby Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez…
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decodingby Benjamin Bergner, Andrii Skliar, Amelie Royer,…
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Promptsby Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu,…
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysisby Sabera Talukder, Yisong Yue, Georgia…
Building Flexible Machine Learning Models for Scientific Computing at Scaleby Tianyu Chen, Haoyi Zhou, Ying…
HiGPT: Heterogeneous Graph Language Modelby Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia,…