Summary of Quark: Real-time, High-resolution, and General Neural View Synthesis, by John Flynn et al.
Quark: Real-time, High-resolution, and General Neural View Synthesisby John Flynn, Michael Broxton, Lukas Murmann, Lucy…
Summary of Libragrad: Balancing Gradient Flow For Universally Better Vision Transformer Attributions, by Faridoun Mehri (1) et al.
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributionsby Faridoun Mehri, Mahdieh Soleymani Baghshah,…
Summary of Fundamental Limits Of Prompt Tuning Transformers: Universality, Capacity and Efficiency, by Jerry Yao-chieh Hu et al.
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiencyby Jerry Yao-Chieh Hu, Wei-Po Wang,…
Summary of Transformers Are Deep Optimizers: Provable In-context Learning For Deep Model Training, by Weimin Wu et al.
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Trainingby Weimin Wu, Maojiang Su,…
Summary of Efedllm: Efficient Llm Inference Based on Federated Learning, by Shengwen Ding and Chenhui Hu
eFedLLM: Efficient LLM Inference Based on Federated Learningby Shengwen Ding, Chenhui HuFirst submitted to arxiv…
Summary of Unveil Inversion and Invariance in Flow Transformer For Versatile Image Editing, by Pengcheng Xu et al.
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editingby Pengcheng Xu, Boyuan Jiang,…
Summary of Best Of Both Worlds: Advantages Of Hybrid Graph Sequence Models, by Ali Behrouz et al.
Best of Both Worlds: Advantages of Hybrid Graph Sequence Modelsby Ali Behrouz, Ali Parviz, Mahdi…
Summary of Fixing the Perspective: a Critical Examination Of Zero-1-to-3, by Jack Yu and Xueying Jia and Charlie Sun and Prince Wang
Fixing the Perspective: A Critical Examination of Zero-1-to-3by Jack Yu, Xueying Jia, Charlie Sun, Prince…
Summary of Development Of Pre-trained Transformer-based Models For the Nepali Language, by Prajwal Thapa et al.
Development of Pre-Trained Transformer-based Models for the Nepali Languageby Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma,…
Summary of Transforming Nlu with Babylon: a Case Study in Development Of Real-time, Edge-efficient, Multi-intent Translation System For Automated Drive-thru Ordering, by Mostafa Varzaneh et al.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System…