End to End Learning

End-to-end learning aims to train entire systems, from raw input to final output, without manually designing intermediate steps. Current research focuses on applying this approach to diverse problems, including robotics (grasping, navigation, control), computer vision (object recognition, pose estimation, segmentation), and signal processing (communications, speech recognition), often employing neural networks, particularly recurrent and transformer architectures. This paradigm offers the potential for improved performance and generalization by optimizing all components jointly, leading to more efficient and robust systems across various scientific and engineering domains.

Papers

March 21, 2023

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
Fulin Liu, Yinlin Hu, Mathieu Salzmann
6D Object 6D Pose Estimation End to End Learning Covariance Neural Network Pose Distribution PnP Algorithm

March 19, 2023

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Ming Xu, Sourav Garg, Michael Milford, Stephen Gould
Dynamic Time Warping Temporal Alignment End to End Learning Better Alignment Warping Method Declarative Statement Deep Declarative

March 7, 2023

End-to-End Learning of Deep Visuomotor Policy for Needle Picking
Hongbin Lin, Bin Li, Xiangyu Chu, Qi Dou, Yunhui Liu, Kwok Wai Samuel Au
Domain Adaptation Variational Auto Needle Insertion End to End Learning Domain Variation Deep Visuomotor Policy

February 28, 2023

Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding
Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Howard, Vasudev Lal, Zev Rivlin
Deep Learning Solution Path Right Problem End to End Learning Hybrid System Intelligent Control

December 17, 2022

Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning
Hui Li, Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yao Zhao
End to End Learning Weakly Supervised Segmentation Expression Segmentation Segmentation Pipeline Segmentation Head

November 21, 2022

EHSNet: End-to-End Holistic Learning Network for Large-Size Remote Sensing Image Semantic Segmentation
Wei Chen, Yansheng Li, Bo Dang, Yongjun Zhang
Semantic Segmentation End to End Remote Sensing Image End to End Learning Remote Sensing Image Semantic Segmentation Global Local Long Term Temporal Context

November 2, 2022

Nonverbal Social Behavior Generation for Social Robots Using End-to-End Learning
Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim
Social Robot End to End Learning Behavior Generation Pepper Robot Nonverbal Communication

September 15, 2022

Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner
Adversarial Robustness Part Segmentation Object Classification End to End Learning Part Based

August 22, 2022

Low-Level Physiological Implications of End-to-End Learning of Speech Recognition
Louise Coppieters de Gibson, Philip N. Garner
Speech Recognition Structure Learning End to End Learning Physiological Change Machine Learning Architecture Filter Bank Auditory System

May 27, 2022

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
Rigid Body Robot Dynamic End to End Learning Impedance Control Inverse Dynamic Model

May 16, 2022

Generalizable Task Planning through Representation Pretraining
Chen Wang, Danfei Xu, Li Fei-Fei
Learning Based Pre Trained Representation End to End Learning Multi Step Manipulation Task Object Level Representation

April 8, 2022

Channel model for end-to-end learning of communications systems: A survey
Ijaz Ahmad, Seokjoo Shin
Machine Learning Timely Survey End to End Learning Differentiable Channel Communication Model Communication System

April 6, 2022

An Empirical Study of End-to-End Temporal Action Detection
Xiaolong Liu, Song Bai, Xiang Bai
Empirical Study Video Understanding Temporal Action Detection Action Classification End to End Learning Video Encoder

March 29, 2022

Finding Structure and Causality in Linear Programs
Matej Zečević, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting
Machine Learning Causal Pattern Linear Programming End to End Learning Inference Problem Structure Discovery

March 10, 2022

End-to-End Learning to Grasp via Sampling from Object Point Clouds
Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Aleš Leonardis, Tatiana Tommasi
Manipulation Task Grasp Anything End to End Learning Grasp Prediction Grasp Candidate

February 22, 2022

Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
Graph Neural Network Multiple Instance Learning End to End Learning Bag Level Concept Graph Deep Bayesian

January 14, 2022

Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
Dimitrios C. Gklezakos, Rajesh P. N. Rao
Recurrent Neural Network Part Whole Hierarchy Right Problem Predictive Coding Neural Solver End to End Learning Compositional Representation Reference Frame Brain Modeling

December 19, 2021

End-to-End Learning of Multi-category 3D Pose and Shape Estimation
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
2 Dimensional Shape Estimation End to End Learning 3D Keypoints 2 Dimensional Detection Pose Lifting 2 Dimensional Keypoints

December 9, 2021

End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping
Vahid Aref, Mathieu Chagnon
End to End Learning Probabilistic Constellation Shaping