Summary of Adversarial Attacks and Dimensionality in Text Classifiers, by Nandish Chattopadhyay et al.
Adversarial Attacks and Dimensionality in Text Classifiersby Nandish Chattopadhyay, Atreya Goswami, Anupam ChattopadhyayFirst submitted to…
Summary of Cross-architecture Transfer Learning For Linear-cost Inference Transformers, by Sehyun Choi
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformersby Sehyun ChoiFirst submitted to arxiv on: 3 Apr…
Summary of Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with An Application to Face Recognition, by Behrooz Razeghi et al.
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to…
Summary of Mixture-of-depths: Dynamically Allocating Compute in Transformer-based Language Models, by David Raposo et al.
Mixture-of-Depths: Dynamically allocating compute in transformer-based language modelsby David Raposo, Sam Ritter, Blake Richards, Timothy…
Summary of Llms in the Loop: Leveraging Large Language Model Annotations For Active Learning in Low-resource Languages, by Nataliia Kholodna et al.
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languagesby…
Summary of Catgnn: Cost-efficient and Scalable Distributed Training For Graph Neural Networks, by Xin Huang et al.
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networksby Xin Huang, Weipeng Zhuo, Minh…
Summary of Virtual Sensor For Real-time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks, by Mengjie Zhao et al.
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networksby Mengjie Zhao,…
Summary of A Strong Baseline For Molecular Few-shot Learning, by Philippe Formont et al.
A Strong Baseline for Molecular Few-Shot Learningby Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben…
Summary of Heat Death Of Generative Models in Closed-loop Learning, by Matteo Marchi et al.
Heat Death of Generative Models in Closed-Loop Learningby Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo…
Summary of Symbolic Prompt Program Search: a Structure-aware Approach to Efficient Compile-time Prompt Optimization, by Tobias Schnabel et al.
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimizationby Tobias Schnabel, Jennifer…