Summary of On the Performance Of Empirical Risk Minimization with Smoothed Data, by Adam Block et al.
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On the Performance of Empirical Risk Minimization with Smoothed Databy Adam Block, Alexander Rakhlin, Abhishek…
Verifiable Boosted Tree Ensemblesby Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno PibiriFirst submitted to…
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Databy YongKyung Oh, Dong-Young Lim,…
Deepfake Detection and the Impact of Limited Computing Capabilitiesby Paloma Cantero-Arjona, Alfonso Sánchez-MaciánFirst submitted to…
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editingby Jiaqi Li, Miaozeng Du, Chuanyi…
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner’s Guideby Oluwole Fagbohun,…
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written…
Text Diffusion with Reinforced Conditioningby Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang,…
Purifying Large Language Models by Ensembling a Small Language Modelby Tianlin Li, Qian Liu, Tianyu…
Asynchronous and Segmented Bidirectional Encoding for NMTby Jingpu Yang, Zehua Han, Mengyu Xiang, Helin Wang,…