Summary of A Feature Refinement Module For Light-weight Semantic Segmentation Network, by Zhiyan Wang et al.
A feature refinement module for light-weight semantic segmentation networkby Zhiyan Wang, Xin Guo, Song Wang,…
Summary of Gpt-2 Through the Lens Of Vector Symbolic Architectures, by Johannes Knittel et al.
GPT-2 Through the Lens of Vector Symbolic Architecturesby Johannes Knittel, Tushaar Gangavarapu, Hendrik Strobelt, Hanspeter…
Summary of Video Motion Transfer with Diffusion Transformers, by Alexander Pondaven et al.
Video Motion Transfer with Diffusion Transformersby Alexander Pondaven, Aliaksandr Siarohin, Sergey Tulyakov, Philip Torr, Fabio…
Summary of Configx: Modular Configuration For Evolutionary Algorithms Via Multitask Reinforcement Learning, by Hongshu Guo et al.
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learningby Hongshu Guo, Zeyuan Ma, Jiacheng…
Summary of Stiv: Scalable Text and Image Conditioned Video Generation, by Zongyu Lin and Wei Liu and Chen Chen and Jiasen Lu and Wenze Hu and Tsu-jui Fu and Jesse Allardice and Zhengfeng Lai and Liangchen Song and Bowen Zhang and Cha Chen and Yiran Fei and Yifan Jiang and Lezhi Li and Yizhou Sun and Kai-wei Chang and Yinfei Yang
STIV: Scalable Text and Image Conditioned Video Generationby Zongyu Lin, Wei Liu, Chen Chen, Jiasen…
Summary of A Causal World Model Underlying Next Token Prediction in Gpt, by Raanan Y. Rohekar et al.
A Causal World Model Underlying Next Token Prediction in GPTby Raanan Y. Rohekar, Yaniv Gurwicz,…
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 Sequential Compression Layers For Efficient Federated Learning in Foundational Models, by Navyansh Mahla et al.
Sequential Compression Layers for Efficient Federated Learning in Foundational Modelsby Navyansh Mahla, Sunny Gupta, Amit…
Summary of Advancing Clinical Trial Outcomes Using Deep Learning and Predictive Modelling: Bridging Precision Medicine and Patient-centered Care, by Sydney Anuyah et al.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered…
Summary of Efficient User History Modeling with Amortized Inference For Deep Learning Recommendation Models, by Lars Hertel et al.
Efficient user history modeling with amortized inference for deep learning recommendation modelsby Lars Hertel, Neil…