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CAMBranch: Contrastive Learning with Augmented MILPs for Branching

CAMBranch: Contrastive Learning with Augmented MILPs for Branching

6 February 2024
Jiacheng Lin
Meng Xu
Zhihua Xiong
Huangang Wang
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Papers citing "CAMBranch: Contrastive Learning with Augmented MILPs for Branching"

14 / 14 papers shown
Title
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
213
3,992
0
20 Nov 2020
Hybrid Models for Learning to Branch
Hybrid Models for Learning to Branch
Prateek Gupta
Maxime Gasse
Elias Boutros Khalil
M. P. Kumar
Andrea Lodi
Yoshua Bengio
GNN
135
126
0
26 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
191
4,051
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
299
6,718
0
13 Jun 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse
  Performance of Language Models
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter
Kelvin Guu
L. Lansing
Dan Jurafsky
31
78
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
127
4,505
0
23 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
436
3,397
0
09 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
312
42,038
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
133
12,007
0
13 Nov 2019
Exact Combinatorial Optimization with Graph Convolutional Neural
  Networks
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
GNN
CML
117
481
0
04 Jun 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
146
1,367
0
15 Nov 2018
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
101
1,453
0
05 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
536
28,901
0
09 Sep 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
318
33,445
0
16 Oct 2013
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