Summary of Actnas : Generating Efficient Yolo Models Using Activation Nas, by Sudhakar Sah et al.
ActNAS : Generating Efficient YOLO Models using Activation NASby Sudhakar Sah, Ravish Kumar, Darshan C.…
ActNAS : Generating Efficient YOLO Models using Activation NASby Sudhakar Sah, Ravish Kumar, Darshan C.…
Fine-tuning can Help Detect Pretraining Data from Large Language Modelsby Hengxiang Zhang, Songxin Zhang, Bingyi…
COME: Test-time adaption by Conservatively Minimizing Entropyby Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao,…
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generatorsby Rasoul Shafipour, David Harrison, Maxwell Horton,…
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selectionby Giorgos Iacovides, Wuyang Zhou, Danilo…
Towards Calibrated Losses for Adversarial Robust Reject Option Classificationby Vrund Shah, Tejas Chaudhari, Naresh ManwaniFirst…
Asymptotic Analysis of Sample-averaged Q-learningby Saunak Kumar Panda, Ruiqi Liu, Yisha XiangFirst submitted to arxiv…
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddingsby Hossein Mirzaei, Mackenzie W. MathisFirst submitted to arxiv…
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processingby Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi…
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learningby Etai Littwin, Vimal Thilak, Anand…