Summary of Extended Fiducial Inference: Toward An Automated Process Of Statistical Inference, by Faming Liang et al.
Extended Fiducial Inference: Toward an Automated Process of Statistical Inferenceby Faming Liang, Sehwan Kim, Yan…
Summary of Dynamic Universal Approximation Theory: Foundations For Parallelism in Neural Networks, by Wei Wang et al.
Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networksby Wei Wang, Qing LiFirst submitted…
Summary of Moma: Efficient Early-fusion Pre-training with Mixture Of Modality-aware Experts, by Xi Victoria Lin and Akshat Shrivastava and Liang Luo and Srinivasan Iyer and Mike Lewis and Gargi Ghosh and Luke Zettlemoyer and Armen Aghajanyan
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Expertsby Xi Victoria Lin, Akshat Shrivastava, Liang…
Summary of Large Language Monkeys: Scaling Inference Compute with Repeated Sampling, by Bradley Brown et al.
Large Language Monkeys: Scaling Inference Compute with Repeated Samplingby Bradley Brown, Jordan Juravsky, Ryan Ehrlich,…
Summary of Private Collaborative Edge Inference Via Over-the-air Computation, by Selim F. Yilmaz et al.
Private Collaborative Edge Inference via Over-the-Air Computationby Selim F. Yilmaz, Burak Hasircioglu, Li Qiao, Deniz…
Summary of Diffusion-based Generation Of Neural Activity From Disentangled Latent Codes, by Jonathan D. Mccart et al.
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codesby Jonathan D. McCart, Andrew R. Sedler,…
Summary of Learning Ordinality in Semantic Segmentation, by Ricardo P. M. Cruz and Rafael Cristino and Jaime S. Cardoso
Learning Ordinality in Semantic Segmentationby Ricardo P. M. Cruz, Rafael Cristino, Jaime S. CardosoFirst submitted…
Summary of Promises and Pitfalls Of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines, by Yuchen Li et al.
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelinesby Yuchen Li,…
Summary of Accelerating Large Language Model Inference with Self-supervised Early Exits, by Florian Valade
Accelerating Large Language Model Inference with Self-Supervised Early Exitsby Florian ValadeFirst submitted to arxiv on:…