Summary of Cnn Mixture-of-depths, by Rinor Cakaj et al.
CNN Mixture-of-Depthsby Rinor Cakaj, Jens Mehnert, Bin YangFirst submitted to arxiv on: 25 Sep 2024CategoriesMain:…
Summary of A Survey Of Low-bit Large Language Models: Basics, Systems, and Algorithms, by Ruihao Gong et al.
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithmsby Ruihao Gong, Yifu Ding,…
Summary of Accelerating Tinyml Inference on Microcontrollers Through Approximate Kernels, by Giorgos Armeniakos et al.
Accelerating TinyML Inference on Microcontrollers through Approximate Kernelsby Giorgos Armeniakos, Georgios Mentzos, Dimitrios SoudrisFirst submitted…
Summary of Uncertainty Representations in State-space Layers For Deep Reinforcement Learning Under Partial Observability, by Carlos E. Luis et al.
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observabilityby Carlos E. Luis,…
Summary of A Qoe-aware Split Inference Accelerating Algorithm For Noma-based Edge Intelligence, by Xin Yuan et al.
A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligenceby Xin Yuan, Ning Li, Quan…
Summary of Alignedkv: Reducing Memory Access Of Kv-cache with Precision-aligned Quantization, by Yifan Tan and Haoze Wang and Chao Yan and Yangdong Deng
AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned Quantizationby Yifan Tan, Haoze Wang, Chao Yan,…
Summary of Functional Stochastic Gradient Mcmc For Bayesian Neural Networks, by Mengjing Wu et al.
Functional Stochastic Gradient MCMC for Bayesian Neural Networksby Mengjing Wu, Junyu Xuan, Jie LuFirst submitted…
Summary of Towards Representation Learning For Weighting Problems in Design-based Causal Inference, by Oscar Clivio et al.
Towards Representation Learning for Weighting Problems in Design-Based Causal Inferenceby Oscar Clivio, Avi Feller, Chris…
Summary of Edge-device Collaborative Computing For Multi-view Classification, by Marco Palena et al.
Edge-device Collaborative Computing for Multi-view Classificationby Marco Palena, Tania Cerquitelli, Carla Fabiana ChiasseriniFirst submitted to…
Summary of Time-moe: Billion-scale Time Series Foundation Models with Mixture Of Experts, by Xiaoming Shi et al.
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Expertsby Xiaoming Shi, Shiyu Wang, Yuqi…