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01/10/2023
Look Beyond Bias with Entropic Adversarial Data Augmentation
Deep neural networks do not discriminate between spurious and causal pat...
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10/17/2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Deep neural networks often fail to generalize outside of their training ...
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08/31/2022
Cell-Free Latent Go-Explore
In this paper, we introduce Latent Go-Explore (LGE), a simple and genera...
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06/25/2021
Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot
This technical report presents panda-gym, a set Reinforcement Learning (...
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06/15/2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Traditional deep learning algorithms often fail to generalize when they ...
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07/30/2020
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
In robotics, methods and softwares usually require optimizations of hype...
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02/03/2020
Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction
Grasping objects is one of the most important abilities to master for a ...
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06/18/2019
Bicameral Structuring and Synthetic Imagery for Jointly Predicting Instance Boundaries and Nearby Occlusions from a Single Image
Oriented boundary detection is a challenging task aimed at both delineat...
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09/26/2018
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning
We present a developmental framework based on a long-term memory and rea...
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03/30/2018
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Grasping skill is a major ability that a wide number of real-life applic...
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01/09/2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
Deep CNN-based object detection systems have achieved remarkable success...
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01/04/2018
