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It's Not What Machines Can Learn, It's What We Cannot Teach

It's Not What Machines Can Learn, It's What We Cannot Teach

21 February 2020
Gal Yehuda
Moshe Gabel
Assaf Schuster
    FaML
ArXivPDFHTML

Papers citing "It's Not What Machines Can Learn, It's What We Cannot Teach"

12 / 12 papers shown
Title
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
63
0
0
31 Jan 2025
Graph Coloring Using Heat Diffusion
Graph Coloring Using Heat Diffusion
Vivek Chaudhary
26
0
0
21 Apr 2024
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
Bruno Machado Pacheco
L. O. Seman
C. A. Rigo
E. Camponogara
E. Bezerra
L. Coelho
41
1
0
24 Mar 2023
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation
  and A Strong Structure-Hardness-Aware Baseline
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Yong Li
Xinyan Chen
Wenxuan Guo
Xijun Li
Wanqian Luo
Jun Huang
Hui-Ling Zhen
M. Yuan
Junchi Yan
35
17
0
04 Feb 2023
Annealed Training for Combinatorial Optimization on Graphs
Annealed Training for Combinatorial Optimization on Graphs
Haoran Sun
E. Guha
H. Dai
32
18
0
23 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
39
30
0
13 Jul 2022
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
163
89
0
31 May 2022
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
M. Schuetz
J. K. Brubaker
H. Katzgraber
AI4CE
31
180
0
02 Jul 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
34
352
0
18 Feb 2021
Learning advanced mathematical computations from examples
Learning advanced mathematical computations from examples
Franccois Charton
Amaury Hayat
Guillaume Lample
PINN
21
4
0
11 Jun 2020
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
73
33
0
16 Oct 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
344
4,230
0
23 Aug 2019
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