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1901.10517
Cited By
Reparameterizable Subset Sampling via Continuous Relaxations
29 January 2019
Sang Michael Xie
Stefano Ermon
BDL
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Papers citing
"Reparameterizable Subset Sampling via Continuous Relaxations"
27 / 27 papers shown
Title
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu
Mouxing Yang
Dezhong Peng
Peng Hu
Yijie Lin
Xi Peng
221
0
0
14 Apr 2025
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
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
Zitao Song
Wendi Ren
Sourav Garg
34
1
0
06 Oct 2023
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
Omer Nahum
Gali Noti
David C. Parkes
Nir Rosenfeld
26
2
0
18 Jun 2023
Differentiable Random Partition Models
Thomas M. Sutter
Alain Ryser
Joram Liebeskind
Julia E. Vogt
55
3
0
26 May 2023
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
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Percy Liang
51
173
0
06 Feb 2023
Explainability as statistical inference
Hugo Senetaire
Damien Garreau
J. Frellsen
Pierre-Alexandre Mattei
FAtt
31
4
0
06 Dec 2022
Differentiable Mathematical Programming for Object-Centric Representation Learning
Adeel Pervez
Phillip Lippe
E. Gavves
OCL
49
5
0
05 Oct 2022
SIMPLE: A Gradient Estimator for
k
k
k
-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
Thomas M. Sutter
Laura Manduchi
Alain Ryser
Julia E. Vogt
49
7
0
03 Mar 2022
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
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
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
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
33
94
0
04 Oct 2021
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
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
45
54
0
10 Aug 2021
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
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
Michal Pietruszka
Łukasz Borchmann
Lukasz Garncarek
23
10
0
10 Sep 2020
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
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
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
Andres Potapczynski
Gabriel Loaiza-Ganem
John P. Cunningham
32
29
0
19 Dec 2019
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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