On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training

23 April 2016

Papers citing "On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training"

16 / 16 papers shown

Title
The pitfalls of next-token prediction Gregor Bachmann Vaishnavh Nagarajan 42 64 0 11 Mar 2024
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 52 6 0 21 Sep 2023
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations S. Rudra Saksham Goel Anirban Santara Claudio Gentile Laurent Perron Fei Xia Vikas Sindhwani Carolina Parada Gaurav Aggarwal 40 8 0 29 Nov 2022
MADRaS : Multi Agent Driving Simulator Anirban Santara S. Rudra Sree Aditya Buridi Meha Kaushik A. Naik Bharat Kaul Balaraman Ravindran 39 30 0 02 Oct 2020
Multimodal End-to-End Autonomous Driving Yi Xiao Felipe Codevilla A. Gurram O. Urfalioglu Antonio M. López 19 241 0 07 Jun 2019
F1/10: An Open-Source Autonomous Cyber-Physical Platform Matthew O'Kelly Varundev Sukhil Houssam Abbas J. Harkins Chris Kao ... Rahul Mangharam Dipshil Agarwal Madhur Behl P. Burgio Marko Bertogna 16 104 0 24 Jan 2019
Closing the gap towards end-to-end autonomous vehicle system Yonatan Glassner Liran Gispan Ariel Ayash Tal Furman Shohet 14 6 0 01 Jan 2019
Future Segmentation Using 3D Structure Suhani Vora R. Mahjourian S. Pirk A. Angelova 3DPC 29 8 0 28 Nov 2018
Recurrent Flow-Guided Semantic Forecasting Adam M. Terwilliger Garrick Brazil Xiaoming Liu 21 46 0 21 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 25 69 0 05 Aug 2018
Discovery and usage of joint attention in images Daniel Harari J. Tenenbaum S. Ullman 32 1 0 10 Apr 2018
Predicting Future Instance Segmentation by Forecasting Convolutional Features Pauline Luc Camille Couprie Yann LeCun Jakob Verbeek 35 91 0 30 Mar 2018
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach Shun Yang Wenshuo Wang Chang-rui Liu W. Deng J. Hedrick 27 44 0 28 Mar 2017
Failures of Gradient-Based Deep Learning Shai Shalev-Shwartz Ohad Shamir Shaked Shammah ODL UQCV 34 199 0 23 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation Pauline Luc Natalia Neverova Camille Couprie Jakob Verbeek Yann LeCun 25 242 0 22 Mar 2017
End-to-End Training Approaches for Discriminative Segmental Models Hao Tang Weiran Wang Kevin Gimpel Karen Livescu 30 7 0 21 Oct 2016