Summary of Learn to Be Efficient: Build Structured Sparsity in Large Language Models, by Haizhong Zheng et al.
Learn To be Efficient: Build Structured Sparsity in Large Language Modelsby Haizhong Zheng, Xiaoyan Bai,…
Summary of Anatomizing Deep Learning Inference in Web Browsers, by Qipeng Wang et al.
Anatomizing Deep Learning Inference in Web Browsersby Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao,…
Summary of Latent Variable Model For High-dimensional Point Process with Structured Missingness, by Maksim Sinelnikov et al.
Latent variable model for high-dimensional point process with structured missingnessby Maksim Sinelnikov, Manuel Haussmann, Harri…
Summary of Repquant: Towards Accurate Post-training Quantization Of Large Transformer Models Via Scale Reparameterization, by Zhikai Li et al.
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterizationby Zhikai Li, Xuewen…
Summary of Mitigating Privacy Risk in Membership Inference by Convex-concave Loss, By Zhenlong Liu et al.
Mitigating Privacy Risk in Membership Inference by Convex-Concave Lossby Zhenlong Liu, Lei Feng, Huiping Zhuang,…
Summary of Linearizing Models For Efficient Yet Robust Private Inference, by Sreetama Sarkar et al.
Linearizing Models for Efficient yet Robust Private Inferenceby Sreetama Sarkar, Souvik Kundu, Peter A. BeerelFirst…
Summary of Interactive Symbolic Regression Through Offline Reinforcement Learning: a Co-design Framework, by Yuan Tian et al.
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Frameworkby Yuan Tian, Wenqi Zhou, Michele…
Summary of Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series, by Zitong Yang et al.
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Seriesby Zitong Yang, Emmanuel Candès, Lihua LeiFirst…
Summary of Improved Off-policy Training Of Diffusion Samplers, by Marcin Sendera et al.
Improved off-policy training of diffusion samplersby Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca…
Summary of Hydragen: High-throughput Llm Inference with Shared Prefixes, by Jordan Juravsky et al.
Hydragen: High-Throughput LLM Inference with Shared Prefixesby Jordan Juravsky, Bradley Brown, Ryan Ehrlich, Daniel Y.…