Summary of The Zamba2 Suite: Technical Report, by Paolo Glorioso et al.
The Zamba2 Suite: Technical Reportby Paolo Glorioso, Quentin Anthony, Yury Tokpanov, Anna Golubeva, Vasudev Shyam,…
Summary of Elastiformer: Learned Redundancy Reduction in Transformer Via Self-distillation, by Junzhang Liu et al.
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillationby Junzhang Liu, Tingkai Liu, Yueyuan Sui, Stephen…
Summary of Dependence Induced Representations, by Xiangxiang Xu et al.
Dependence Induced Representationsby Xiangxiang Xu, Lizhong ZhengFirst submitted to arxiv on: 22 Nov 2024CategoriesMain: Machine…
Summary of Quantized Symbolic Time Series Approximation, by Erin Carson et al.
Quantized symbolic time series approximationby Erin Carson, Xinye Chen, Cheng KangFirst submitted to arxiv on:…
Summary of Evaluating Vision Transformer Models For Visual Quality Control in Industrial Manufacturing, by Miriam Alber et al.
Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturingby Miriam Alber, Christoph Hönes,…
Summary of Dycoke: Dynamic Compression Of Tokens For Fast Video Large Language Models, by Keda Tao et al.
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Modelsby Keda Tao, Can Qin,…
Summary of Facial Features Matter: a Dynamic Watermark Based Proactive Deepfake Detection Approach, by Shulin Lan et al.
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approachby Shulin Lan, Kanlin Liu,…
Summary of Latent Schrodinger Bridge: Prompting Latent Diffusion For Fast Unpaired Image-to-image Translation, by Jeongsol Kim and Beomsu Kim and Jong Chul Ye
Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translationby Jeongsol Kim, Beomsu Kim,…
Summary of Whats in a Video: Factorized Autoregressive Decoding For Online Dense Video Captioning, by Aj Piergiovanni et al.
Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioningby AJ Piergiovanni, Dahun…
Summary of Variational Autoencoders For Efficient Simulation-based Inference, by Mayank Nautiyal et al.
Variational Autoencoders for Efficient Simulation-Based Inferenceby Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant SinghFirst submitted…