WE2.PA1.3
PROBABILISTIC KNOWLEDGE TRANSFER FOR LIGHTWEIGHT VISION TRANSFORMERS
Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
Session:
WE2.PA1: Signal and Data Analytics for Machine Learning - II Poster
Track:
SiG-DML - Signal and Data Analytics for Machine Learning
Location:
Poster Area 1
Presentation Time:
Wed, 28 Aug, 14:00 - 15:40 France Time (UTC +1)
Session Chair:
Rémi Gribonval, Inria, ENS de Lyon
Presentation
Discussion
Resources
No resources available.
Session WE2.PA1
WE2.PA1.1: Which Time Series Domain Shifts can Neural Networks Adapt to?
Henri Hoyez, Paul Wurth S.A, Luxembourg; Bruno Mirbach, Jason Rambach, DFKI, Germany; Cedric Schockaert, Paul Wurth S.A, Luxembourg; Didier Stricker, DFKI, Germany
WE2.PA1.2: NORMALIZING FLOWS WITH TASK-SPECIFIC PRE-TRAINING FOR UNSUPERVISED ANOMALY DETECTION ON ENGINEERING STRUCTURES
Brice MARC, CEREMA / INRIA, France; Philippe FOUCHER, CEREMA, France; Florence FORBES, INRIA, France; Pierre CHARBONNIER, CEREMA, France
WE2.PA1.3: PROBABILISTIC KNOWLEDGE TRANSFER FOR LIGHTWEIGHT VISION TRANSFORMERS
Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
WE2.PA1.4: Texture Classification using Local Dissimilarity Maps of Gray-Level Co-occurrence Matrices
Agnès DELAHAIES, Frédéric Morain-Nicolier, Université de Reims Champagne Ardenne, France; Jérôme Landré, Jönköping University, Sweden
WE2.PA1.5: Linear-time One-Class Classification with Repeated Element-wise Folding
Jenni Raitoharju, University of Jyväskylä, Finland
WE2.PA1.6: ANOMALY DETECTION-RECONSTRUCTION TRADE-OFF IN AUTOENCODER-BASED COMPRESSION
Andriy Enttsel, Alex Marchioni, Livia Manovi, Riccardo Nikpali, Gabriele Ravaglia, University of Bologna, Italy; Gianluca Setti, KAUST, Saudi Arabia; Mauro Mangia, Riccardo Rovatti, University of Bologna, Italy
WE2.PA1.7: SYMBOLIC REPRESENTATION FOR TIME SERIES
Sylvain W. Combettes, Charles Truong, Laurent Oudre, Université Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, France
WE2.PA1.8: PRECIPITATION NOWCASTING USING PHYSICS INFORMED DISCRIMINATOR GENERATIVE MODELS
Junzhe Yin, Cristian Meo, Ankush Roy, Zeineb Bou Cher, Mircea Lică, Yanbo Wang, Delft University of Technology, Netherlands; Ruben Imhoff, Deltares, Netherlands; Remko Uijlenhoet, Justin Dauwels, Delft University of Technology, Netherlands
WE2.PA1.9: Prototype Anchoring for Image Classification Tasks
Maria Tzelepi, Vasileios Mezaris, ITI-CERTH, Greece
WE2.PA1.10: Self-supervised Trajectory Clustering with Optimal Transport and Metric Learning
Alexandros Emvoliadis, Georgios-Fotios Angelis, Anastasios Drosou, Dimitrios Tzovaras, Centre for Research & Technology Hellas Thessaloniki, Greece
WE2.PA1.11: Hybrid Hierarchical Models for ISAC Predictions with Wireless Links
Dror Jacoby, Jonathan Ostrometzky, Hagit Messer, Tel Aviv University, Israel
WE2.PA1.12: On Counterfactual Interventions in Vector Autoregressive Models
Kurt Butler, Marija Iloska, Petar Djuric, Stony Brook University, United States