Summary of Post-training Statistical Calibration For Higher Activation Sparsity, by Vui Seng Chua et al.
Post-Training Statistical Calibration for Higher Activation Sparsityby Vui Seng Chua, Yujie Pan, Nilesh JainFirst submitted…
Summary of Safewatch: An Efficient Safety-policy Following Video Guardrail Model with Transparent Explanations, by Zhaorun Chen et al.
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanationsby Zhaorun Chen, Francesco Pinto,…
Summary of On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks, by William T. Redman et al.
On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networksby William…
Summary of Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks, by Junhe Zhang et al.
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Summary of Dapperfl: Domain Adaptive Federated Learning with Model Fusion Pruning For Edge Devices, by Yongzhe Jia et al.
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devicesby Yongzhe Jia, Xuyun…
Summary of Cptquant – a Novel Mixed Precision Post-training Quantization Techniques For Large Language Models, by Amitash Nanda et al.
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Modelsby Amitash Nanda,…
Summary of A Granger-causal Perspective on Gradient Descent with Application to Pruning, by Aditya Shah et al.
A Granger-Causal Perspective on Gradient Descent with Application to Pruningby Aditya Shah, Aditya Challa, Sravan…
Summary of Efficient Model Compression Techniques with Fishleg, by Jamie Mcgowan et al.
Efficient Model Compression Techniques with FishLegby Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge,…
Summary of Efficient Llm Inference Using Dynamic Input Pruning and Cache-aware Masking, by Marco Federici et al.
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Maskingby Marco Federici, Davide Belli, Mart…
Summary of Tinyfusion: Diffusion Transformers Learned Shallow, by Gongfan Fang et al.
TinyFusion: Diffusion Transformers Learned Shallowby Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao WangFirst submitted to…