Summary of Implicit Generative Prior For Bayesian Neural Networks, by Yijia Liu et al.
Implicit Generative Prior for Bayesian Neural Networksby Yijia Liu, Xiao WangFirst submitted to arxiv on:…
Implicit Generative Prior for Bayesian Neural Networksby Yijia Liu, Xiao WangFirst submitted to arxiv on:…
Probabilistic Inference in Language Models via Twisted Sequential Monte Carloby Stephen Zhao, Rob Brekelmans, Alireza…
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learningby Yinghan Cheng, Qi Zhang, Chongyang…
Center-Based Relaxed Learning Against Membership Inference Attacksby Xingli Fang, Jung-Eun KimFirst submitted to arxiv on:…
A Continuous Relaxation for Discrete Bayesian Optimizationby Richard Michael, Simon Bartels, Miguel González-Duque, Yevgen Zainchkovskyy,…
IDIL: Imitation Learning of Intent-Driven Expert Behaviorby Sangwon Seo, Vaibhav UnhelkarFirst submitted to arxiv on:…
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decodingby Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil…
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inferenceby Zhe Zhang, Ryumei Nakada, Linjun…
CORM: Cache Optimization with Recent Message for Large Language Model Inferenceby Jincheng Dai, Zhuowei Huang,…
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantificationby Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui…