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Found 6 papers, 4 papers with code
Neural 5G Indoor Localization with IMU Supervision
We propose practical algorithms for IMU double integration and training of the localization system.
Temporal Alignment for History Representation in Reinforcement Learning
Inspired by human memory, we propose to represent history with only important changes in the environment and, in our approach, to obtain automatically this representation using self-supervision.
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Following this line of work, we propose a new hyperbolic-based model for metric learning.
Ranked #1 on
Metric Learning
on CUB-200-2011
Latent World Models For Intrinsically Motivated Exploration
In this work we consider partially observable environments with sparse rewards.
Whitening for Self-Supervised Representation Learning
Most of the current self-supervised representation learning (SSL) methods are based on the contrastive loss and the instance-discrimination task, where augmented versions of the same image instance ("positives") are contrasted with instances extracted from other images ("negatives").
Event Discovery for History Representation in Reinforcement Learning
To address this problem, a possible solution is to provide the agent with information about past observations.
