3 papers
cs.LG2026
PHOTON: Hierarchical Autoregressive Modeling for Lightspeed and Memory-Efficient Language Generation
Yuma Ichikawa, Naoya Takagi, Takumi Nakagawa +2
Transformers operate as horizontal token-by-token scanners; at each generation step, attending to an ever-growing sequence of token-level states. This access pattern increases pref…
cs.RO2020
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa +1
It is a big problem that a model of deep learning for a picking robot needs many labeled images. Operating costs of retraining a model becomes very expensive because the object sha…
cs.RO2020
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa +1
Self-supervised learning methods are attractive candidates for automatic object picking. However, the trial samples lack the complete ground truth because the observable parts of t…