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Poster session
in
Workshop: 5th Workshop on practical ML for limited/low resource settings (PML4LRS) @ ICLR 2024

Coffee break + Poster session II

Amir Rezaei Balef · Paul Doucet · Dong Wang · Dorina Weichert · David Kappel · Marcella Astrid · Francesco Corti · YUNFAN ZHAO · Olga Saukh · Richard Freinschlag · Moonjung Eo · Andre Kelm · Israel Mason-Williams · SunJae Maeng · Hiroki Naganuma

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[ Slides
Sat 11 May 6:15 a.m. PDT — 7:15 a.m. PDT

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

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

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

  4. NEURAL NETWORK COMPRESSION: THE FUNCTIONAL PERSPECTIVE
    Israel Mason-Williams

  5. 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

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

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

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

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

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

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

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

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

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

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

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

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