From the 3 of 111 papers with an AI index.
21 citations
- G. Drettakis5 · h 59
- Konstantin Avrachenkov4 profiles4 · h 41
- Fabien L. Gandon3 · h 2
- Himanshu Gupta3 profiles3 · h 10
- Ivan Lanese2 profiles3 · h 34
- Micah Carroll2 profiles3 · h 15
- Michael Kirchhof2 profiles3 · h 10
- Michal Valko3 · h 44
- Orion Weller2 profiles3 · h 22
- Zheng-Xin Yong3 profiles3 · h 18
- Abdallah Galal2 profiles2 · h 1
- A. Bienfait2 · h 24
- Centre National de la Recherche ScientifiqueFR40 papers
- École Normale Supérieure - PSLFR12 papers
- Sorbonne UniversitéFR10 papers
- École Normale Supérieure de LyonFR9 papers
- Université Côte d'AzurFR9 papers
- Département d'InformatiqueFR8 papers
- Université Paris CitéFR7 papers
- Laboratoire de l'Informatique du ParallélismeFR6 papers
- Université de MontpellierFR6 papers
- École PolytechniqueFR5 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR5 papers
- Université Grenoble AlpesFR5 papers
15 papers · 1 filter
ML Inference Scheduling with Predictable Latency
Haidong Zhao, Nikolaos Georgantas
Machine learning (ML) inference serving systems can schedule requests to improve GPU utilization and to meet service level objectives (SLOs) or deadlines. However, improving GPU ut…
Attacking the First-Principle: A Black-Box, Query-Free Targeted Mimicry Attack on Binary Function Classifiers
Gabriel Sauger, Jean-Yves Marion, Sazzadur Rahaman +3
Binary function classifiers play a crucial role in maintaining the security and integrity of software systems by detecting malicious code and unauthorized modifications. However, m…
Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings
Guillaume Méroué, Fabien Gandon, Pierre Monnin
Embedding models (KGEMs) constitute the main link prediction approach to complete knowledge graphs. Standard evaluation protocols emphasize rank-based metrics such as MRR or Hits@$…
Learning from a single labeled face and a stream of unlabeled data
Branislav Kveton, Michal Valko
Face recognition from a single image per person is a challenging problem because the training sample is extremely small. We consider a variation of this problem. In our problem, we…
Conditional anomaly detection with soft harmonic functions
Michal Valko, Branislav Kveton, Hamed Valizadegan +2
In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label. We develop a new non-paramet…
Analysis of Nystrom method with sequential ridge leverage scores
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Large-scale kernel ridge regression (KRR) is limited by the need to store a large kernel matrix K_t. To avoid storing the entire matrix K_t, Nystrom methods subsample a subset of c…