Summary of A Granger-causal Perspective on Gradient Descent with Application to Pruning, by Aditya Shah et al.
A Granger-Causal Perspective on Gradient Descent with Application to Pruningby Aditya Shah, Aditya Challa, Sravan…
Summary of Point-gn: a Non-parametric Network Using Gaussian Positional Encoding For Point Cloud Classification, by Marzieh Mohammadi and Amir Salarpour
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classificationby Marzieh Mohammadi, Amir…
Summary of Less Is More: a Stealthy and Efficient Adversarial Attack Method For Drl-based Autonomous Driving Policies, by Junchao Fan et al.
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policiesby…
Summary of Utsd: Unified Time Series Diffusion Model, by Xiangkai Ma et al.
UTSD: Unified Time Series Diffusion Modelby Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu LuFirst submitted…
Summary of Few-shot Learning with Adaptive Weight Masking in Conditional Gans, by Jiacheng Hu et al.
Few-Shot Learning with Adaptive Weight Masking in Conditional GANsby Jiacheng Hu, Zhen Qi, Jianjun Wei,…
Summary of Revolve: Optimizing Ai Systems by Tracking Response Evolution in Textual Optimization, By Peiyan Zhang et al.
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimizationby Peiyan Zhang, Haibo Jin,…
Summary of Unifying Kv Cache Compression For Large Language Models with Leankv, by Yanqi Zhang et al.
Unifying KV Cache Compression for Large Language Models with LeanKVby Yanqi Zhang, Yuwei Hu, Runyuan…
Summary of Generalized Diffusion Model with Adjusted Offset Noise, by Takuro Kutsuna
Generalized Diffusion Model with Adjusted Offset Noiseby Takuro KutsunaFirst submitted to arxiv on: 4 Dec…
Summary of Testing Neural Network Verifiers: a Soundness Benchmark with Hidden Counterexamples, by Xingjian Zhou et al.
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamplesby Xingjian Zhou, Hongji Xu, Andy…
Summary of Towards Understanding and Quantifying Uncertainty For Text-to-image Generation, by Gianni Franchi et al.
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generationby Gianni Franchi, Dat Nguyen Trong, Nacim Belkhir,…