Summary of Customizing Text-to-image Models with a Single Image Pair, by Maxwell Jones et al.
Customizing Text-to-Image Models with a Single Image Pairby Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David…
Summary of Early-stage Detection Of Cognitive Impairment by Hybrid Quantum-classical Algorithm Using Resting-state Functional Mri Time-series, By Junggu Choi et al.
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-seriesby Junggu…
Summary of Universal Imitation Games, by Sridhar Mahadevan
Universal Imitation Gamesby Sridhar MahadevanFirst submitted to arxiv on: 2 Feb 2024CategoriesMain: Artificial Intelligence (cs.AI)Secondary:…
Summary of Gradient-congruity Guided Federated Sparse Training, by Chris Xing Tian et al.
Gradient-Congruity Guided Federated Sparse Trainingby Chris Xing Tian, Yibing Liu, Haoliang Li, Ray C.C. Cheung,…
Summary of Decoupling Feature Extraction and Classification Layers For Calibrated Neural Networks, by Mikkel Jordahn and Pablo M. Olmos
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networksby Mikkel Jordahn, Pablo M. OlmosFirst…
Summary of Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies, by Finn Rietz et al.
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policiesby Finn Rietz, Erik Schaffernicht, Stefan Heinrich,…
Summary of Error-driven Uncertainty Aware Training, by Pedro Mendes and Paolo Romano and David Garlan
Error-Driven Uncertainty Aware Trainingby Pedro Mendes, Paolo Romano, David GarlanFirst submitted to arxiv on: 2…
Summary of Improving Membership Inference in Asr Model Auditing with Perturbed Loss Features, by Francisco Teixeira et al.
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Featuresby Francisco Teixeira, Karla Pizzi,…
Summary of Boosting Jailbreak Attack with Momentum, by Yihao Zhang et al.
Boosting Jailbreak Attack with Momentumby Yihao Zhang, Zeming WeiFirst submitted to arxiv on: 2 May…
Summary of Lying Graph Convolution: Learning to Lie For Node Classification Tasks, by Daniele Castellana
Lying Graph Convolution: Learning to Lie for Node Classification Tasksby Daniele CastellanaFirst submitted to arxiv…