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The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
    BDL
ArXiv (abs)PDFHTML

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,583 papers shown
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow
  Matching on Assignment Manifolds
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds
Bastian Boll
Daniel Gonzalez-Alvarado
Christoph Schnörr
DRL
222
4
0
12 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CMLOffRL
300
2
0
05 Feb 2024
Variational DAG Estimation via State Augmentation With Stochastic
  Permutations
Variational DAG Estimation via State Augmentation With Stochastic Permutations
Edwin V. Bonilla
P. Elinas
He Zhao
Maurizio Filippone
V. Kitsios
Terry O'Kane
CML
377
4
0
04 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
  in Vision Transformers
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
Oryan Yehezkel
Alon Zolfi
Amit Baras
Yuval Elovici
A. Shabtai
AAML
207
2
0
04 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural
  Networks
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen
Jiaxing Zhang
Jingchao Ni
Xiaoting Li
Yuchen Bian
Md. Mezbahul Islam
A. Mondal
Hua Wei
Dongsheng Luo
314
6
0
03 Feb 2024
A Differentiable Partially Observable Generalized Linear Model with
  Forward-Backward Message Passing
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
Chengrui Li
Weihan Li
Yule Wang
Anqi Wu
169
2
0
02 Feb 2024
Gradient-Based Language Model Red Teaming
Gradient-Based Language Model Red Teaming
Nevan Wichers
Carson E. Denison
Ahmad Beirami
246
41
0
30 Jan 2024
Dropout Concrete Autoencoder for Band Selection on HSI Scenes
Dropout Concrete Autoencoder for Band Selection on HSI Scenes
Lei Xu
Mete Ahishali
Moncef Gabbouj
158
0
0
29 Jan 2024
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme
  Multi-Profile Scenarios
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
Namju Kwak
Taesup Kim
MoE
109
0
0
29 Jan 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and
  Data Attribution
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data AttributionNeural Information Processing Systems (NeurIPS), 2024
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
325
15
0
29 Jan 2024
Residual Quantization with Implicit Neural Codebooks
Residual Quantization with Implicit Neural CodebooksInternational Conference on Machine Learning (ICML), 2024
Iris A. M. Huijben
Matthijs Douze
Matthew Muckley
Ruud J. G. van Sloun
Jakob Verbeek
MQ
281
19
0
26 Jan 2024
Within-basket Recommendation via Neural Pattern Associator
Within-basket Recommendation via Neural Pattern Associator
Kai Luo
Tianshu Shen
Lan Yao
Ga Wu
A. Liblong
Istvan Fehervari
Ruijian An
Jawad Ahmed
Harshit Mishra
Charu Pujari
AI4TS
251
2
0
25 Jan 2024
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
Jiachen Li
Chuanbo Hua
Hengbo Ma
Jinkyoo Park
Victoria M. Dax
Mykel J. Kochenderfer
351
16
0
22 Jan 2024
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
Haowen Wang
Tao Sun
Kaixiang Ji
Jian Wang
Cong Fan
Jinjie Gu
175
1
0
19 Jan 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim
Kanghoon Yoon
Yeonjun In
Jinyoung Moon
Donghyun Kim
Chanyoung Park
237
12
0
18 Jan 2024
Optimization of Discrete Parameters Using the Adaptive Gradient Method
  and Directed Evolution
Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
Andrei Beinarovich
Sergey Stepanov
Alexander Zaslavsky
256
0
0
12 Jan 2024
Disentangled Neural Relational Inference for Interpretable Motion
  Prediction
Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria M. Dax
Jiachen Li
Enna Sachdeva
Nakul Agarwal
Mykel J. Kochenderfer
243
7
0
07 Jan 2024
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image RegistrationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Xinzhe Luo
Xin Wang
Linda Shapiro
Chun Yuan
Jianfeng Feng
Xiahai Zhuang
325
0
0
04 Jan 2024
Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints
Unsupervised Object-Centric Learning from Multiple Unspecified ViewpointsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Jinyang Yuan
Tonglin Chen
Zhimeng Shen
Bin Li
Xiangyang Xue
OCL
193
4
0
03 Jan 2024
Symbolic Manipulation Planning with Discovered Object and Relational
  Predicates
Symbolic Manipulation Planning with Discovered Object and Relational PredicatesIEEE Robotics and Automation Letters (RA-L), 2024
Alper Ahmetoglu
Erhan Öztop
Emre Ugur
260
10
0
02 Jan 2024
On Discprecncies between Perturbation Evaluations of Graph Neural
  Network Attributions
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions
Razieh Rezaei
Alireza Dizaji
Ashkan Khakzar
Anees Kazi
Nassir Navab
Daniel Rueckert
124
0
0
01 Jan 2024
HQ-VAE: Hierarchical Discrete Representation Learning with Variational
  Bayes
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Yuhta Takida
Yukara Ikemiya
Takashi Shibuya
Kazuki Shimada
Woosung Choi
...
Naoki Murata
Toshimitsu Uesaka
Kengo Uchida
Wei-Hsiang Liao
Yuki Mitsufuji
BDL
400
24
0
31 Dec 2023
Mitigating Degree Biases in Message Passing Mechanism by Utilizing
  Community Structures
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
Van Thuy Hoang
O-Joun Lee
135
10
0
28 Dec 2023
Discrete Messages Improve Communication Efficiency among Isolated
  Intelligent Agents
Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents
Hang Chen
Yuchuan Jang
Weijie Zhou
Cristian Meo
Ziwei Chen
Dianbo Liu
257
1
0
26 Dec 2023
Contextual Feature Selection with Conditional Stochastic Gates
Contextual Feature Selection with Conditional Stochastic Gates
Ram Dyuthi Sristi
Ofir Lindenbaum
Shira Lifshitz
Maria Lavzin
Jackie Schiller
Zhengchao Wan
Hadas Benisty
210
4
0
21 Dec 2023
Model-Based Control with Sparse Neural Dynamics
Model-Based Control with Sparse Neural Dynamics
Ziang Liu
Genggeng Zhou
Jeff He
Tobia Marcucci
Fei-Fei Li
Jiajun Wu
Yunzhu Li
AI4CE
273
21
0
20 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion
  Models
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo
Jonas Kohler
Juan C. Pérez
Juan Pablo Pérez
Albert Pumarola
Guohao Li
Pablo Arbelaez
Ali K. Thabet
252
22
0
19 Dec 2023
Adaptive Computation Modules: Granular Conditional Computation For
  Efficient Inference
Adaptive Computation Modules: Granular Conditional Computation For Efficient InferenceAAAI Conference on Artificial Intelligence (AAAI), 2023
Bartosz Wójcik
Alessio Devoto
Karol Pustelnik
Pasquale Minervini
Simone Scardapane
288
7
0
15 Dec 2023
Cooperative Learning for Cost-Adaptive Inference
Cooperative Learning for Cost-Adaptive Inference
Xingli Fang
Richard M. Bradford
Jung-Eun Kim
306
1
0
13 Dec 2023
Building Universal Foundation Models for Medical Image Analysis with
  Spatially Adaptive Networks
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks
Lingxiao Luo
Xuanzhong Chen
Bingda Tang
Xinsheng Chen
Rong Han
Chengpeng Hu
Yujiang Li
Ting Chen
MedIm
218
3
0
12 Dec 2023
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
Tanveer Hannan
Md. Mohaiminul Islam
Thomas Seidl
Gedas Bertasius
451
11
0
11 Dec 2023
Concrete Subspace Learning based Interference Elimination for Multi-task
  Model Fusion
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion
Anke Tang
Li Shen
Yong Luo
Liang Ding
Han Hu
Bo Du
Dacheng Tao
MoMe
290
30
0
11 Dec 2023
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
288
20
0
07 Dec 2023
Language Model Alignment with Elastic Reset
Language Model Alignment with Elastic Reset
Michael Noukhovitch
Samuel Lavoie
Florian Strub
Aaron Courville
KELM
324
35
0
06 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture
  Cramer-Wold Distance
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
SeungHwan An
Sungchul Hong
Jong-June Jeon
229
0
0
06 Dec 2023
Customizable Combination of Parameter-Efficient Modules for Multi-Task
  Learning
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Haowen Wang
Tao Sun
Cong Fan
Jinjie Gu
MoE
203
7
0
06 Dec 2023
Towards Causal Representations of Climate Model Data
Towards Causal Representations of Climate Model Data
Julien Boussard
Chandni Nagda
Julia Kaltenborn
C. E. E. Lange
Philippe Brouillard
Yaniv Gurwicz
Peer Nowack
David Rolnick
244
9
0
05 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods
On the Adversarial Robustness of Graph Contrastive Learning Methods
Filippo Guerranti
Zinuo Yi
Anna Starovoit
Rafiq Kamel
Simon Geisler
Stephan Günnemann
AAML
325
5
0
29 Nov 2023
Align before Adapt: Leveraging Entity-to-Region Alignments for
  Generalizable Video Action Recognition
Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Yifei Chen
Dapeng Chen
Ruijin Liu
Sai Zhou
Wenyuan Xue
Wei Peng
298
15
0
27 Nov 2023
Learning to Complement with Multiple Humans
Learning to Complement with Multiple HumansPattern Recognition (Pattern Recogn.), 2023
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
311
2
0
22 Nov 2023
Differentiable Sampling of Categorical Distributions Using the
  CatLog-Derivative Trick
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative TrickNeural Information Processing Systems (NeurIPS), 2023
Lennert De Smet
Emanuele Sansone
Pedro Zuidberg Dos Martires
215
15
0
21 Nov 2023
Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Yunpeng Huang
Jingwei Xu
Junyu Lai
Zixu Jiang
Taolue Chen
...
Xiaoxing Ma
Lijuan Yang
Zhou Xin
Shupeng Li
Penghao Zhao
LLMAGKELM
370
101
0
21 Nov 2023
Balancing Efficiency and Quality: MoEISR for Arbitrary-Scale Image Super-Resolution
Balancing Efficiency and Quality: MoEISR for Arbitrary-Scale Image Super-Resolution
Young Jae Oh
Jihun Kim
Jihoon Nam
Tae Hyun Kim
348
0
0
20 Nov 2023
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale
  of Two Benchmarks
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two BenchmarksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Ting-Yun Chang
Jesse Thomason
Robin Jia
323
26
0
15 Nov 2023
Explainable History Distillation by Marked Temporal Point Process
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu
Ke Deng
Yan Wang
Xiuzhen Zhang
229
0
0
13 Nov 2023
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Ryo Ueda
Tadahiro Taniguchi
265
11
0
08 Nov 2023
Recursion in Recursion: Two-Level Nested Recursion for Length
  Generalization with Scalability
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
Jishnu Ray Chowdhury
Cornelia Caragea
228
5
0
08 Nov 2023
Learned layered coding for Successive Refinement in the Wyner-Ziv
  Problem
Learned layered coding for Successive Refinement in the Wyner-Ziv ProblemIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Boris Joukovsky
B. D. Weerdt
Nikos Deligiannis
102
2
0
06 Nov 2023
TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token SelectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zifan Yu
E. Tavakoli
Meida Chen
Suya You
Raghuveer Rao
Sanjeev Agarwal
Fengbo Ren
195
3
0
05 Nov 2023
Implicit Chain of Thought Reasoning via Knowledge Distillation
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng
Kiran Prasad
Roland Fernandez
P. Smolensky
Vishrav Chaudhary
Stuart M. Shieber
ReLMLRM
243
70
0
02 Nov 2023
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