Summary of Everything Everywhere All at Once: Llms Can In-context Learn Multiple Tasks in Superposition, by Zheyang Xiong et al.
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superpositionby Zheyang Xiong,…
Summary of Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search, by Jakob Hartmann et al.
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Searchby Jakob Hartmann, Guoliang…
Summary of Espace: Dimensionality Reduction Of Activations For Model Compression, by Charbel Sakr and Brucek Khailany
ESPACE: Dimensionality Reduction of Activations for Model Compressionby Charbel Sakr, Brucek KhailanyFirst submitted to arxiv…
Summary of From Incomplete Coarse-grained to Complete Fine-grained: a Two-stage Framework For Spatiotemporal Data Reconstruction, by Ziyu Sun et al.
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstructionby Ziyu Sun,…
Summary of Distributed Inference on Mobile Edge and Cloud: An Early Exit Based Clustering Approach, by Divya Jyoti Bajpai and Manjesh Kumar Hanawal
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approachby Divya Jyoti…
Summary of Trained Models Tell Us How to Make Them Robust to Spurious Correlation Without Group Annotation, by Mahdi Ghaznavi et al.
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotationby…
Summary of Improving Image Clustering with Artifacts Attenuation Via Inference-time Attention Engineering, by Kazumoto Nakamura et al.
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineeringby Kazumoto Nakamura, Yuji Nozawa, Yu-Chieh…
Summary of Timecnn: Refining Cross-variable Interaction on Time Point For Time Series Forecasting, by Ao Hu et al.
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecastingby Ao Hu, Dongkai Wang,…
Summary of On the Adversarial Risk Of Test Time Adaptation: An Investigation Into Realistic Test-time Data Poisoning, by Yongyi Su and Yushu Li and Nanqing Liu and Kui Jia and Xulei Yang and Chuan-sheng Foo and Xun Xu
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoningby…
Summary of Videoguide: Improving Video Diffusion Models Without Training Through a Teacher’s Guide, by Dohun Lee et al.
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher’s Guideby Dohun Lee, Bryan S…