40.2k citations
- Massachusetts Institute of TechnologyUS45 papers
- University of California, BerkeleyUS43 papers
- Stanford UniversityUS38 papers
- University of Illinois Urbana-ChampaignUS29 papers
- Purdue University West LafayetteUS28 papers
- Delft University of TechnologyNL25 papers
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- Georgia Institute of TechnologyUS23 papers
- Carnegie Mellon UniversityUS22 papers
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- Lawrence Berkeley National LaboratoryUS22 papers
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944 papers
PerSpectron: Detecting Invariant Footprints of Microarchitectural Attacks with Perceptron
Samira Mirbagher-Ajorpaz, Gilles Pokam, Esmaeil Mohammadian-Koruyeh +3
Detecting microarchitectural attacks is critical given their proliferation in recent years. Many of these attacks exhibit intrinsic behaviors essential to the nature of their opera…
CHiRP: Control-Flow History Reuse Prediction
Samira Mirbagher-Ajorpaz, Elba Garza, Gilles Pokam +1
Translation Lookaside Buffers (TLBs) play a critical role in hardware-supported memory virtualization. To speed up address translation and reduce costly page table walks, TLBs cach…
Online semi-supervised perception: Real-time learning without explicit feedback
Branislav Kveton, Michal Valko, Matthai Phillipose +1
This paper proposes an algorithm for real-time learning without explicit feedback. The algorithm combines the ideas of semi-supervised learning on graphs and online learning. In pa…
Semi-supervised learning with max-margin graph cuts
Branislav Kveton, Michal Valko, Ali Rahimi +1
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic func…
Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning
Anna Borisiuk, Andrey Savchenko, Alexander Panchenko +1
Machine Unlearning (MU) enables Large Language Models (LLMs) to remove unsafe or outdated information. However, existing work assumes that all facts are equally forgettable and lar…
An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenes
Alban Gauthier, Valentin Deschaintre, Alexandre Lanvin +3
Digital content creation is experiencing a profound change with the advent of deep generative models. For texturing, conditional image generators now allow the synthesis of realist…