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SparseMAP: Differentiable Sparse Structured Inference
v1v2 (latest)

SparseMAP: Differentiable Sparse Structured Inference

12 February 2018
Vlad Niculae
André F. T. Martins
Mathieu Blondel
Claire Cardie
ArXiv (abs)PDFHTML

Papers citing "SparseMAP: Differentiable Sparse Structured Inference"

50 / 92 papers shown
Blind Construction of Angular Power Maps in Massive MIMO Networks
Blind Construction of Angular Power Maps in Massive MIMO NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025
Zheng Xing
Junting Chen
104
0
0
08 Oct 2025
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Kyohei Atarashi
S. Oyama
Hiromi Arai
H. Kashima
245
0
0
12 Jun 2025
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference AlgorithmsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Caio Corro
Mathieu Lacroix
Joseph Le Roux
100
1
0
31 May 2025
Learning with Local Search MCMC Layers
Learning with Local Search MCMC Layers
Germain Vivier-Ardisson
Mathieu Blondel
Axel Parmentier
356
1
0
20 May 2025
Bandit and Delayed Feedback in Online Structured Prediction
Bandit and Delayed Feedback in Online Structured Prediction
Yuki Shibukawa
Taira Tsuchiya
Shinsaku Sakaue
Kenji Yamanishi
OffRL
324
1
0
26 Feb 2025
Differentiation Through Black-Box Quadratic Programming Solvers
Differentiation Through Black-Box Quadratic Programming Solvers
Connor W. Magoon
Fengyu Yang
Noam Aigerman
Shahar Z. Kovalsky
412
3
0
08 Oct 2024
Mechanistic?
Mechanistic?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024
Naomi Saphra
Sarah Wiegreffe
AI4CE
257
32
0
07 Oct 2024
LPGD: A General Framework for Backpropagation through Embedded
  Optimization Layers
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
279
4
0
08 Jul 2024
On The Statistical Representation Properties Of The Perturb-Softmax And
  The Perturb-Argmax Probability Distributions
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
Hedda Cohen Indelman
Tamir Hazan
179
0
0
04 Jun 2024
Learning with Fitzpatrick Losses
Learning with Fitzpatrick LossesNeural Information Processing Systems (NeurIPS), 2024
Seta Rakotomandimby
J. Chancelier
M. Lara
Mathieu Blondel
FedML
169
4
0
23 May 2024
Sparse and Structured Hopfield Networks
Sparse and Structured Hopfield Networks
Saul Santos
Vlad Niculae
Daniel McNamee
Andre F. T. Martins
239
10
0
21 Feb 2024
Online Structured Prediction with Fenchel--Young Losses and Improved
  Surrogate Regret for Online Multiclass Classification with Logistic Loss
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
Shinsaku Sakaue
Han Bao
Taira Tsuchiya
Taihei Oki
239
6
0
13 Feb 2024
Constraint-Free Structure Learning with Smooth Acyclic Orientations
Constraint-Free Structure Learning with Smooth Acyclic OrientationsInternational Conference on Learning Representations (ICLR), 2023
Riccardo Massidda
Francesco Landolfi
Martina Cinquini
Davide Bacciu
268
8
0
15 Sep 2023
Order-based Structure Learning with Normalizing Flows
Order-based Structure Learning with Normalizing Flows
Hamidreza Kamkari
Vahid Balazadeh Meresht
Vahid Zehtab
Rahul G. Krishnan
CML
301
4
0
14 Aug 2023
Efficient Learning of Discrete-Continuous Computation Graphs
Efficient Learning of Discrete-Continuous Computation GraphsNeural Information Processing Systems (NeurIPS), 2023
David Friede
Mathias Niepert
157
3
0
26 Jul 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
BayesDAG: Gradient-Based Posterior Inference for Causal DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Yashas Annadani
Nick Pawlowski
Joel Jennings
Stefan Bauer
Cheng Zhang
Wenbo Gong
CMLBDL
336
31
0
26 Jul 2023
Efficient Beam Tree Recursion
Efficient Beam Tree RecursionNeural Information Processing Systems (NeurIPS), 2023
Jishnu Ray Chowdhury
Cornelia Caragea
352
3
0
20 Jul 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in
  Weight-tied Model for Vision Tasks
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks
Haobo Song
Soumajit Majumder
Tao Lin
VLM
300
0
0
16 Jul 2023
Structured Dialogue Discourse Parsing
Structured Dialogue Discourse ParsingSIGDIAL Conferences (SIGDIAL), 2023
Ta-Chung Chi
Alexander I. Rudnicky
263
13
0
26 Jun 2023
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
Doubly Stochastic Graph-based Non-autoregressive Reaction PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Ziqiao Meng
Peilin Zhao
Yang Yu
Irwin King
141
8
0
05 Jun 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text
  Generation
CREST: A Joint Framework for Rationalization and Counterfactual Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
293
25
0
26 May 2023
LION: Implicit Vision Prompt Tuning
LION: Implicit Vision Prompt TuningAAAI Conference on Artificial Intelligence (AAAI), 2023
Haixin Wang
Jianlong Chang
Xiao Luo
Jinan Sun
Zhouchen Lin
Qi Tian
VLMMLLMVPVLM
193
34
0
17 Mar 2023
Sketch In, Sketch Out: Accelerating both Learning and Inference for
  Structured Prediction with Kernels
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with KernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
T. Ahmad
Luc Brogat-Motte
Pierre Laforgue
Florence dÁlché-Buc
BDL
300
6
0
20 Feb 2023
DAG Learning on the Permutahedron
DAG Learning on the PermutahedronInternational Conference on Learning Representations (ICLR), 2023
Valentina Zantedeschi
Luca Franceschi
Jean Kaddour
Matt J. Kusner
Vlad Niculae
302
11
0
27 Jan 2023
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset SamplingInternational Conference on Learning Representations (ICLR), 2022
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Karen Ullrich
BDL
331
30
0
04 Oct 2022
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic
  Speech Recognition
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech RecognitionInternational Conference on Data Science and Advanced Analytics (DSAA), 2022
Chendong Zhao
Jianzong Wang
Wentao Wei
Xiaoyang Qu
Haoqian Wang
Jing Xiao
170
2
0
30 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent
  Variable Models
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Pasquale Minervini
Luca Franceschi
Mathias Niepert
183
14
0
11 Sep 2022
Robust Multi-Object Tracking by Marginal Inference
Robust Multi-Object Tracking by Marginal InferenceEuropean Conference on Computer Vision (ECCV), 2022
Yifu Zhang
Chunyu Wang
Xinggang Wang
Wenjun Zeng
Wenyu Liu
VOT
134
18
0
07 Aug 2022
Learning with Combinatorial Optimization Layers: a Probabilistic
  Approach
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle
Léo Baty
Louis Bouvier
Axel Parmentier
AI4CE
303
44
0
27 Jul 2022
Contrasting quadratic assignments for set-based representation learning
Contrasting quadratic assignments for set-based representation learningEuropean Conference on Computer Vision (ECCV), 2022
A. Moskalev
Ivan Sosnovik
Volker Fischer
A. Smeulders
SSL
364
11
0
31 May 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
Learning Energy Networks with Generalized Fenchel-Young LossesNeural Information Processing Systems (NeurIPS), 2022
Mathieu Blondel
Felipe Llinares-López
Robert Dadashi
Léonard Hussenot
Matthieu Geist
207
9
0
19 May 2022
Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution StrategiesInternational Conference on Learning Representations (ICLR), 2022
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDLDRL
194
5
0
03 May 2022
Learning with Latent Structures in Natural Language Processing: A Survey
Learning with Latent Structures in Natural Language Processing: A Survey
Zhaofeng Wu
BDLDRL
386
3
0
03 Jan 2022
Evidential Softmax for Sparse Multimodal Distributions in Deep
  Generative Models
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen
Masha Itkina
Ransalu Senanayake
Mykel J. Kochenderfer
153
9
0
27 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention
Sinkformers: Transformers with Doubly Stochastic AttentionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Michael E. Sander
Pierre Ablin
Mathieu Blondel
Gabriel Peyré
254
113
0
22 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
336
129
0
04 Oct 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection
Learning Constraints and Descriptive Segmentation for Subevent Detection
Haoyu Wang
Hongming Zhang
Muhao Chen
Dan Roth
140
25
0
13 Sep 2021
SPECTRA: Sparse Structured Text Rationalization
SPECTRA: Sparse Structured Text RationalizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Nuno M. Guerreiro
André F. T. Martins
156
30
0
09 Sep 2021
Implicit Behavioral Cloning
Implicit Behavioral CloningConference on Robot Learning (CoRL), 2021
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
485
532
0
01 Sep 2021
Sparse Communication via Mixed Distributions
Sparse Communication via Mixed DistributionsInternational Conference on Learning Representations (ICLR), 2021
António Farinhas
Wilker Aziz
Vlad Niculae
André F. T. Martins
187
3
0
05 Aug 2021
Constraining Linear-chain CRFs to Regular Languages
Constraining Linear-chain CRFs to Regular LanguagesInternational Conference on Learning Representations (ICLR), 2021
Sean Papay
Roman Klinger
Sebastian Padó
BDL
267
7
0
14 Jun 2021
Modeling Hierarchical Structures with Continuous Recursive Neural
  Networks
Modeling Hierarchical Structures with Continuous Recursive Neural NetworksInternational Conference on Machine Learning (ICML), 2021
Jishnu Ray Chowdhury
Cornelia Caragea
153
18
0
10 Jun 2021
Structured Reordering for Modeling Latent Alignments in Sequence
  Transduction
Structured Reordering for Modeling Latent Alignments in Sequence TransductionNeural Information Processing Systems (NeurIPS), 2021
Bailin Wang
Mirella Lapata
Ivan Titov
BDL
241
20
0
06 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family DistributionsNeural Information Processing Systems (NeurIPS), 2021
Mathias Niepert
Pasquale Minervini
Luca Franceschi
325
106
0
03 Jun 2021
Is Sparse Attention more Interpretable?
Is Sparse Attention more Interpretable?Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Clara Meister
Stefan Lazov
Isabelle Augenstein
Robert Bamler
MILM
189
49
0
02 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit DifferentiationNeural Information Processing Systems (NeurIPS), 2021
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
442
287
0
31 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer
  Programming Constraints
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming ConstraintsInternational Conference on Machine Learning (ICML), 2021
Anselm Paulus
Michal Rolínek
Vít Musil
Brandon Amos
Georg Martius
288
70
0
05 May 2021
Learning from Executions for Semantic Parsing
Learning from Executions for Semantic ParsingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Bailin Wang
Mirella Lapata
Ivan Titov
119
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Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mohsen Zand
Ali Etemad
Michael A. Greenspan
AI4CE
297
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Reconciling the Discrete-Continuous Divide: Towards a Mathematical
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Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication
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218
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