ACML 2023
114 papers
Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way
Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe
Diffusion-based Visual Representation Learning for Medical Question Answering
Dexin Bian, Xiaoru Wang, Meifang Li
Federated Learning with Uncertainty via Distilled Predictive Distributions
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
ASAP: Attention-Based State Space Abstraction for Policy Summarization
Yanzhe Bekkemoen, Helge Langseth
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking
Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal
Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Models
Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
Equilibrium Point Learning
Dowoo Baik, Ji Won Yoon
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran, Dan Ogawa Lillrank
Ted: Tree delineation with reduced dimensions using entropy and deep learning
RN Anjani, CH Sarvani, K Kalyan Deep, P Aravinda Kumar, Sitiraju Srinivasa Rao
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory
Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu
Degree-based stratification of nodes in Graph Neural Networks
Ameen Ali, Lior Wolf, Hakan Cevikalp
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou
Asian Conference on Machine Learning: Preface
Berrin Yanıkoğlu, Wray Buntine