Limits of End-to-End Learning

26 April 2017

Papers citing "Limits of End-to-End Learning"

18 / 18 papers shown

Title
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 77 2 0 01 Nov 2024
Guiding Through Complexity: What Makes Good Supervision for Hard Math Reasoning Tasks? Xuan He Da Yin Nanyun Peng LRM 40 0 0 27 Oct 2024
AI Thinking: A framework for rethinking artificial intelligence in practice Denis Newman-Griffis 37 0 0 26 Aug 2024
The pitfalls of next-token prediction Gregor Bachmann Vaishnavh Nagarajan 37 63 0 11 Mar 2024
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting Muhammad Saif-ur-Rehman Omair Ali Christian Klaes Ioannis Iossifidis 17 1 0 30 Mar 2023
Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques Jože M. Rožanec Patrik Zajec Spyros Theodoropoulos Erik Koehorst B. Fortuna Dunja Mladenić 28 4 0 19 Dec 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference Mu Yuan Lan Zhang Fengxiang He Xueting Tong Miao-Hui Song Zhengyuan Xu Xiang-Yang Li 32 2 0 28 Sep 2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network Mario Krenn L. Buffoni B. Coutinho S. Eppel J. Foster ... Ngoc M. Tran Francisco Valente Yangxinyu Xie Rose Yu Michael K Kopp 37 42 0 23 Sep 2022
Classification of Phonological Parameters in Sign Languages B. Mocialov Graham Turner Helen F. Hastie 32 2 0 24 May 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 27 56 0 08 Apr 2022
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT Mostafa Hussien K. Nguyen M. Cheriet 19 4 0 17 Mar 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 25 18 0 10 Feb 2022
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 21 55 0 26 Jun 2021
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 30 1,359 0 31 Oct 2020
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 22 123 0 26 Jun 2020
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 16 32 0 10 Jul 2019
Deep Geodesic Learning for Segmentation and Anatomical Landmarking N. Torosdagli D. Liberton P. Verma M. Sincan Janice S. Lee Ulas Bagci 20 107 0 06 Oct 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014