Summary of Dqa: An Efficient Method For Deep Quantization Of Deep Neural Network Activations, by Wenhao Hu et al.
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activationsby Wenhao Hu, Paul…
Summary of Transferlight: Zero-shot Traffic Signal Control on Any Road-network, by Johann Schmidt et al.
TransferLight: Zero-Shot Traffic Signal Control on any Road-Networkby Johann Schmidt, Frank Dreyer, Sayed Abid Hashimi,…
Summary of Cual: Continual Uncertainty-aware Active Learner, by Amanda Rios et al.
CUAL: Continual Uncertainty-aware Active Learnerby Amanda Rios, Ibrahima Ndiour, Parual Datta, Jerry Sydir, Omesh Tickoo,…
Summary of When Can Memorization Improve Fairness?, by Bob Pepin et al.
When Can Memorization Improve Fairness?by Bob Pepin, Christian Igel, Raghavendra SelvanFirst submitted to arxiv on:…
Summary of Single-view Graph Contrastive Learning with Soft Neighborhood Awareness, by Qingqiang Sun et al.
Single-View Graph Contrastive Learning with Soft Neighborhood Awarenessby Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin…
Summary of Crvq: Channel-relaxed Vector Quantization For Extreme Compression Of Llms, by Yuzhuang Xu et al.
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMsby Yuzhuang Xu, Shiyu Ji, Qingfu Zhu,…
Summary of Optimising Tinyml with Quantization and Distillation Of Transformer and Mamba Models For Indoor Localisation on Edge Devices, by Thanaphon Suwannaphong et al.
Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on…
Summary of Dynamic Prompt Allocation and Tuning For Continual Test-time Adaptation, by Chaoran Cui et al.
Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptationby Chaoran Cui, Yongrui Zhen, Shuai Gong,…
Summary of Transfer Learning Of Rssi to Improve Indoor Localisation Performance, by Thanaphon Suwannaphong et al.
Transfer Learning of RSSI to Improve Indoor Localisation Performanceby Thanaphon Suwannaphong, Ryan McConville, Ian CraddockFirst…
Summary of Auto-regressive Moving Diffusion Models For Time Series Forecasting, by Jiaxin Gao et al.
Auto-Regressive Moving Diffusion Models for Time Series Forecastingby Jiaxin Gao, Qinglong Cao, Yuntian ChenFirst submitted…