Coffee break + Poster session II

Smoothness-Adaptive Sharpness-Aware Minimization for Finding Flatter Minima Hiroki Naganuma, Junhyung Lyle Kim, Anastasios Kyrillidis, Ioannis Mitliagkas

Graph Gaussian Processes for Efficient Robust Monte Carlo Tree Search
Dorina Weichert, Samuel Wiest, Sebastian Houben, Paul Ploeger

PC-LoRA: Progressive Model Compression with Low Rank Adaptation Injoon Hwang, HaeWon Park, Jooyoung Yang, SunJae Maeng, Youngwan Lee

NEURAL NETWORK COMPRESSION: THE FUNCTIONAL PERSPECTIVE
Israel Mason-Williams

Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop

LESS: LEARNING TO SELECT A STRUCTURED ARCHITECTURE OVER FILTER PRUNING AND LOW-RANK DECOMPOSITION
Moonjung Eo, Suhyun Kang, Wonjong Rhee

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr

Subspace-Configurable Networks
Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele

Implicit Two-Tower Policies YUNFAN ZHAO, Alvin Pan, Krzysztof Marcin Choromanski, Deepali Jain, Vikas Sindhwani

HADS: Hardware-Aware Deep Subnetworks
Francesco Corti, Balz Maag, Joachim Schauer, Ulrich Pferschy, Olga Saukh

Better (pseudo-)labels for semi-supervised instance segmentation
Francois Porcher, camille couprie, Marc Szafraniec, Jakob Verbeek

SUPClust: Active Learning at the Boundaries Yuta Ono, Till Aczel, Benjamin Estermann, Roger Wattenhofer

Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet, Benjamin Estermann, Till Aczel, Roger Wattenhofer

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee

A variational framework for local learning with probabilistic latent representations
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney

Towards Bandit-based Optimization for Automated Machine Learning
Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger