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Reparameterizable Subset Sampling via Continuous Relaxations

Reparameterizable Subset Sampling via Continuous Relaxations

29 January 2019
Sang Michael Xie
Stefano Ermon
    BDL
ArXivPDFHTML

Papers citing "Reparameterizable Subset Sampling via Continuous Relaxations"

27 / 27 papers shown
Title
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu
Mouxing Yang
Dezhong Peng
Peng Hu
Yijie Lin
Xi Peng
227
0
0
14 Apr 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
Emir Ceyani
Han Xie
Baturalp Buyukates
Carl Yang
Salman Avestimehr
FedML
107
0
0
22 Jan 2025
End-to-End Video Question Answering with Frame Scoring Mechanisms and
  Adaptive Sampling
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Jianxin Liang
Xiaojun Meng
Yueqian Wang
Chang Liu
Qun Liu
Dongyan Zhao
42
5
0
21 Jul 2024
Amortized Network Intervention to Steer the Excitatory Point Processes
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song
Wendi Ren
Sourav Garg
34
1
0
06 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
44
3
0
29 Aug 2023
Decongestion by Representation: Learning to Improve Economic Welfare in
  Marketplaces
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
Omer Nahum
Gali Noti
David C. Parkes
Nir Rosenfeld
26
2
0
18 Jun 2023
Differentiable Random Partition Models
Differentiable Random Partition Models
Thomas M. Sutter
Alain Ryser
Joram Liebeskind
Julia E. Vogt
57
3
0
26 May 2023
Token Sparsification for Faster Medical Image Segmentation
Token Sparsification for Faster Medical Image Segmentation
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedIm
30
3
0
11 Mar 2023
Data Selection for Language Models via Importance Resampling
Data Selection for Language Models via Importance Resampling
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Percy Liang
51
177
0
06 Feb 2023
Explainability as statistical inference
Explainability as statistical inference
Hugo Senetaire
Damien Garreau
J. Frellsen
Pierre-Alexandre Mattei
FAtt
34
4
0
06 Dec 2022
Differentiable Mathematical Programming for Object-Centric
  Representation Learning
Differentiable Mathematical Programming for Object-Centric Representation Learning
Adeel Pervez
Phillip Lippe
E. Gavves
OCL
54
5
0
05 Oct 2022
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
BDL
53
25
0
04 Oct 2022
Learning Group Importance using the Differentiable Hypergeometric
  Distribution
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas M. Sutter
Laura Manduchi
Alain Ryser
Julia E. Vogt
51
7
0
03 Mar 2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement
  Learning
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S. W. Stevens
Nishith Chennakeshava
F. D. Bruijn
M. Pekar
Ruud J. G. van Sloun
26
4
0
24 Jan 2022
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in
  Combinatorial Spaces
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky
Artyom Gadetsky
D. Rakitin
Danil Karpushkin
Dmitry Vetrov
BDL
32
9
0
28 Oct 2021
Joint optimization of system design and reconstruction in MIMO radar
  imaging
Joint optimization of system design and reconstruction in MIMO radar imaging
Tomer Weiss
Nissim Peretz
S. Vedula
A. Feuer
A. Bronstein
30
3
0
07 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
33
95
0
04 Oct 2021
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation
  with Relational GNN
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
Yu Wang
Zhiwei Liu
Ziwei Fan
Lichao Sun
Philip S. Yu
27
47
0
26 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
45
54
0
10 Aug 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
37
81
0
03 Jun 2021
Differentiable Patch Selection for Image Recognition
Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
33
93
0
07 Apr 2021
Sparsifying Transformer Models with Trainable Representation Pooling
Sparsifying Transformer Models with Trainable Representation Pooling
Michal Pietruszka
Łukasz Borchmann
Lukasz Garncarek
23
10
0
10 Sep 2020
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
Hung-Yu Tseng
Hsin-Ying Lee
Lu Jiang
Ming-Hsuan Yang
Weilong Yang
DiffM
3DV
33
52
0
16 Jul 2020
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
41
85
0
15 Jun 2020
Differentiable Top-k Operator with Optimal Transport
Differentiable Top-k Operator with Optimal Transport
Yujia Xie
H. Dai
Minshuo Chen
Bo Dai
T. Zhao
H. Zha
Wei Wei
Tomas Pfister
OT
32
27
0
16 Feb 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski
Gabriel Loaiza-Ganem
John P. Cunningham
32
29
0
19 Dec 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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