Summary of A Context-contrastive Inference Approach to Partial Diacritization, by Muhammad Elnokrashy et al.
A Context-Contrastive Inference Approach To Partial Diacritizationby Muhammad ElNokrashy, Badr AlKhamissiFirst submitted to arxiv on:…
Summary of Attack and Reset For Unlearning: Exploiting Adversarial Noise Toward Machine Unlearning Through Parameter Re-initialization, by Yoonhwa Jung and Ikhyun Cho and Shun-hsiang Hsu and Julia Hockenmaier
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initializationby Yoonhwa…
Summary of Using I-vectors For Subject-independent Cross-session Eeg Transfer Learning, by Jonathan Lasko et al.
Using i-vectors for subject-independent cross-session EEG transfer learningby Jonathan Lasko, Jeff Ma, Mike Nicoletti, Jonathan…
Summary of X Hacking: the Threat Of Misguided Automl, by Rahul Sharma et al.
X Hacking: The Threat of Misguided AutoMLby Rahul Sharma, Sergey Redyuk, Sumantrak Mukherjee, Andrea Sipka,…
Summary of Diconstruct: Causal Concept-based Explanations Through Black-box Distillation, by Ricardo Moreira et al.
DiConStruct: Causal Concept-based Explanations through Black-Box Distillationby Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro,…
Summary of Multi-track Timeline Control For Text-driven 3d Human Motion Generation, by Mathis Petrovich et al.
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generationby Mathis Petrovich, Or Litany, Umar Iqbal,…
Summary of Nodi: Out-of-distribution Detection with Noise From Diffusion, by Jingqiu Zhou et al.
NODI: Out-Of-Distribution Detection with Noise from Diffusionby Jingqiu Zhou, Aojun Zhou, Hongsheng LiFirst submitted to…
Summary of Boosting Gradient Ascent For Continuous Dr-submodular Maximization, by Qixin Zhang et al.
Boosting Gradient Ascent for Continuous DR-submodular Maximizationby Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen,…
Summary of Gd Doesn’t Make the Cut: Three Ways That Non-differentiability Affects Neural Network Training, by Siddharth Krishna Kumar
GD doesn’t make the cut: Three ways that non-differentiability affects neural network trainingby Siddharth Krishna…
Summary of Enhancing Evolving Domain Generalization Through Dynamic Latent Representations, by Binghui Xie et al.
Enhancing Evolving Domain Generalization through Dynamic Latent Representationsby Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen…