Summary of A Structure-aware Framework For Learning Device Placements on Computation Graphs, by Shukai Duan et al.
A Structure-Aware Framework for Learning Device Placements on Computation Graphsby Shukai Duan, Heng Ping, Nikos…
Summary of Unleashing the Power Of Unlabeled Data: a Self-supervised Learning Framework For Cyber Attack Detection in Smart Grids, by Hanyu Zeng et al.
Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in…
Summary of Degree Of Irrationality: Sentiment and Implied Volatility Surface, by Jiahao Weng and Yan Xie
Degree of Irrationality: Sentiment and Implied Volatility Surfaceby Jiahao Weng, Yan XieFirst submitted to arxiv…
Summary of Bridging the Gap in Online Hate Speech Detection: a Comparative Analysis Of Bert and Traditional Models For Homophobic Content Identification on X/twitter, by Josh Mcgiff and Nikola S. Nikolov
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional…
Summary of Characterizing the Accuracy — Efficiency Trade-off Of Low-rank Decomposition in Language Models, by Chakshu Moar et al.
Characterizing the Accuracy – Efficiency Trade-off of Low-rank Decomposition in Language Modelsby Chakshu Moar, Faraz…
Summary of Reddit-impacts: a Named Entity Recognition Dataset For Analyzing Clinical and Social Effects Of Substance Use Derived From Social Media, by Yao Ge and Sudeshna Das and Karen O’connor and Mohammed Ali Al-garadi and Graciela Gonzalez-hernandez and Abeed Sarker
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use…
Summary of Open Implementation and Study Of Best-rq For Speech Processing, by Ryan Whetten et al.
Open Implementation and Study of BEST-RQ for Speech Processingby Ryan Whetten, Titouan Parcollet, Marco Dinarelli,…
Summary of Revisiting Character-level Adversarial Attacks For Language Models, by Elias Abad Rocamora and Yongtao Wu and Fanghui Liu and Grigorios G. Chrysos and Volkan Cevher
Revisiting Character-level Adversarial Attacks for Language Modelsby Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios…
Summary of Interpretable Network Visualizations: a Human-in-the-loop Approach For Post-hoc Explainability Of Cnn-based Image Classification, by Matteo Bianchi et al.
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classificationby Matteo Bianchi,…
Summary of Structural Pruning Of Pre-trained Language Models Via Neural Architecture Search, by Aaron Klein et al.
Structural Pruning of Pre-trained Language Models via Neural Architecture Searchby Aaron Klein, Jacek Golebiowski, Xingchen…