25 citations · 39 across the 4 of their papers we have counts for
4 papers
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage +9
We present DeepCABAC, a novel context-adaptive binary arithmetic coder for compressing deep neural networks. It quantizes each weight parameter by minimizing a weighted rate-distor…
Black-Box Decision based Adversarial Attack with Symmetric -stable Distribution
Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller +2
Developing techniques for adversarial attack and defense is an important research field for establishing reliable machine learning and its applications. Many existing methods emplo…
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling
Kim Nicoli, Pan Kessel, Nils Strodthoff +3
In this comment on "Solving Statistical Mechanics Using Variational Autoregressive Networks" by Wu et al., we propose a subtle yet powerful modification of their approach. We show…
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
Wojciech Samek, Grégoire Montavon, Alexander Binder +2
Complex nonlinear models such as deep neural network (DNNs) have become an important tool for image classification, speech recognition, natural language processing, and many other…