Summary of Training a Neural Netwok For Data Reduction and Better Generalization, by Sylvain Sardy and Maxime Van Cutsem and Xiaoyu Ma
Training a neural netwok for data reduction and better generalizationby Sylvain Sardy, Maxime van Cutsem,…
Summary of X-meshgraphnet: Scalable Multi-scale Graph Neural Networks For Physics Simulation, by Mohammad Amin Nabian et al.
X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulationby Mohammad Amin Nabian, Chang Liu, Rishikesh…
Summary of Learning Hierarchical Polynomials Of Multiple Nonlinear Features with Three-layer Networks, by Hengyu Fu et al.
Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networksby Hengyu Fu, Zihao Wang, Eshaan…
Summary of Classifier-free Guidance Inside the Attraction Basin May Cause Memorization, by Anubhav Jain et al.
Classifier-Free Guidance inside the Attraction Basin May Cause Memorizationby Anubhav Jain, Yuya Kobayashi, Takashi Shibuya,…
Summary of Priordiffusion: Leverage Language Prior in Diffusion Models For Monocular Depth Estimation, by Ziyao Zeng et al.
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimationby Ziyao Zeng, Jingcheng Ni,…
Summary of In-context Experience Replay Facilitates Safety Red-teaming Of Text-to-image Diffusion Models, by Zhi-yi Chin et al.
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Modelsby Zhi-Yi Chin, Mario Fritz, Pin-Yu…
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 Parameter Efficient Instruction Tuning: An Empirical Study, by Pengfei He
Parameter Efficient Instruction Tuning: An Empirical Studyby Pengfei HeFirst submitted to arxiv on: 25 Nov…
Summary of Scaling Laws For Black Box Adversarial Attacks, by Chuan Liu et al.
Scaling Laws for Black box Adversarial Attacksby Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong,…
Summary of Learning Predictive Checklists with Probabilistic Logic Programming, by Yukti Makhija et al.
Learning Predictive Checklists with Probabilistic Logic Programmingby Yukti Makhija, Edward De Brouwer, Rahul G. KrishnanFirst…