Summary of Paste: Improving the Efficiency Of Visual Anomaly Detection at the Edge, by Manuel Barusco et al.
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edgeby Manuel Barusco, Francesco Borsatti,…
Summary of Qspec: Speculative Decoding with Complementary Quantization Schemes, by Juntao Zhao et al.
QSpec: Speculative Decoding with Complementary Quantization Schemesby Juntao Zhao, Wenhao Lu, Sheng Wang, Lingpeng Kong,…
Summary of Evolutionary Retrofitting, by Mathurin Videau (tau) et al.
Evolutionary Retrofittingby Mathurin Videau, Mariia Zameshina, Alessandro Leite, Laurent Najman, Marc Schoenauer, Olivier TeytaudFirst submitted…
Summary of Enhancing Unimodal Latent Representations in Multimodal Vaes Through Iterative Amortized Inference, by Yuta Oshima et al.
Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inferenceby Yuta Oshima, Masahiro Suzuki,…
Summary of Beyond Linear Approximations: a Novel Pruning Approach For Attention Matrix, by Yingyu Liang et al.
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrixby Yingyu Liang, Jiangxuan Long, Zhenmei…
Summary of Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent, By Bo Chen et al.
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descentby Bo Chen,…
Summary of Advancing the Understanding Of Fixed Point Iterations in Deep Neural Networks: a Detailed Analytical Study, by Yekun Ke et al.
Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Studyby…
Summary of Variational Inference in Location-scale Families: Exact Recovery Of the Mean and Correlation Matrix, by Charles C. Margossian and Lawrence K. Saul
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrixby Charles C.…
Summary of Lotus: Learning-based Online Thermal and Latency Variation Management For Two-stage Detectors on Edge Devices, by Yifan Gong et al.
Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devicesby Yifan…
Summary of Seedlm: Compressing Llm Weights Into Seeds Of Pseudo-random Generators, by Rasoul Shafipour et al.
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generatorsby Rasoul Shafipour, David Harrison, Maxwell Horton,…