Summary of Scalable Variational Causal Discovery Unconstrained by Acyclicity, By Nu Hoang et al.
Scalable Variational Causal Discovery Unconstrained by Acyclicityby Nu Hoang, Bao Duong, Thin NguyenFirst submitted to…
Scalable Variational Causal Discovery Unconstrained by Acyclicityby Nu Hoang, Bao Duong, Thin NguyenFirst submitted to…
The Solution for the sequential task continual learning track of the 2nd Greater Bay Area…
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spikingby Xingrun Xing,…
The Impact of Quantization and Pruning on Deep Reinforcement Learning Modelsby Heng Lu, Mehdi Alemi,…
Randomized Physics-Informed Neural Networks for Bayesian Data Assimilationby Yifei Zong, David Barajas-Solano, Alexandre M. TartakovskyFirst…
LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Orderby Matthias Freiberger, Peter Kun,…
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shiftsby Hyunsu Kim, Yegon…
NeuFair: Neural Network Fairness Repair with Dropoutby Vishnu Asutosh Dasu, Ashish Kumar, Saeid Tizpaz-Niari, Gang…
Learning Interpretable Differentiable Logic Networksby Chang Yue, Niraj K. JhaFirst submitted to arxiv on: 4…
The Solution for the GAIIC2024 RGB-TIR object detection Challengeby Xiangyu Wu, Jinling Xu, Longfei Huang,…