Summary of Human-like Geometric Abstraction in Large Pre-trained Neural Networks, by Declan Campbell et al.
Human-Like Geometric Abstraction in Large Pre-trained Neural Networksby Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas…
Human-Like Geometric Abstraction in Large Pre-trained Neural Networksby Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas…
Can Generative Agents Predict Emotion?by Ciaran Regan, Nanami Iwahashi, Shogo Tanaka, Mizuki OkaFirst submitted to…
Logical recognition method for solving the problem of identification in the Internet of Thingsby Islambek…
Visual Enumeration is Challenging for Large-scale Generative AIby Alberto Testolin, Kuinan Hou, Marco ZorziFirst submitted…
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learningby Zhaohui Jiang, Paul WengFirst submitted to arxiv…
Transfer Learning With Densenet201 Architecture Model For Potato Leaf Disease Classificationby Rifqi Alfinnur Charisma, Faisal…
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decompositionby Sangyu Han, Yearim Kim,…
BetterV: Controlled Verilog Generation with Discriminative Guidanceby Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang,…
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approachby Sergi Blanco-CuaresmaFirst submitted to…
SWAG: Storytelling With Action Guidanceby Zeeshan Patel, Karim El-Refai, Jonathan Pei, Tianle LiFirst submitted to…