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2002.02913
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Learning Autoencoders with Relational Regularization
International Conference on Machine Learning (ICML), 2020
7 February 2020
Hongteng Xu
Dixin Luo
Ricardo Henao
Svati Shah
Lawrence Carin
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Papers citing
"Learning Autoencoders with Relational Regularization"
26 / 26 papers shown
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Yi-cui Zhang
Yiwen Zhang
Y. X. R. Wang
Tong Chen
Hongzhi Yin
399
3
0
10 Apr 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Yanmei Zhang
Meng Wang
Xihua Sheng
Peilin Chen
Junru Li
Li Zhang
Shuaiqiang Wang
1.1K
0
0
23 Nov 2024
Fast Gradient Computation for Gromov-Wasserstein Distance
Wei Zhang
Zihao Wang
Jie Fan
Hao Wu
Yong Zhang
OT
285
3
0
13 Apr 2024
Keypoint-Guided Optimal Transport
Xiang Gu
Yucheng Yang
Weizhen Zeng
Jian Sun
Zongben Xu
243
1
0
23 Mar 2023
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
188
12
0
26 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hongteng Xu
Minjie Cheng
289
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0
13 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
303
63
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16 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Prabhant Singh
Joaquin Vanschoren
OOD
304
6
0
01 Nov 2022
Gromov-Wasserstein Autoencoders
International Conference on Learning Representations (ICLR), 2022
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
267
16
0
15 Sep 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Pourya Shamsolmoali
Masoumeh Zareapoor
Swagatam Das
Mohammadhadi Shateri
Salvador García
MedIm
355
3
0
01 Sep 2022
Auto-regressive Image Synthesis with Integrated Quantization
European Conference on Computer Vision (ECCV), 2022
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Kai Cui
Changgong Zhang
Shijian Lu
273
15
0
21 Jul 2022
COEM: Cross-Modal Embedding for MetaCell Identification
Haiyi Mao
M. Jia
Jason Xiaotian Dou
Haotian Zhang
J. Benos
201
7
0
15 Jul 2022
Hilbert Curve Projection Distance for Distribution Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tao Li
Cheng Meng
Hongteng Xu
Jun Yu
397
16
0
30 May 2022
MoReL: Multi-omics Relational Learning
International Conference on Learning Representations (ICLR), 2022
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Xiaoning Qian
183
7
0
15 Mar 2022
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
B. Le
Simon S. Woo
AAML
208
107
0
07 Dec 2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zongyuan Huang
Baohua Zhang
Guoqiang Hu
Longyuan Li
Yanyan Xu
Yaohui Jin
289
20
0
10 Sep 2021
Learning Graphon Autoencoders for Generative Graph Modeling
Hongteng Xu
P. Zhao
Junzhou Huang
Dixin Luo
GNN
156
5
0
29 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
326
61
0
29 Apr 2021
EfficientTDNN: Efficient Architecture Search for Speaker Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Rui Wang
Zhihua Wei
Haoran Duan
S. Ji
Yang Long
Zhenhou Hong
306
20
0
25 Mar 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Computer Vision and Pattern Recognition (CVPR), 2020
Tal Daniel
Aviv Tamar
DRL
291
50
0
24 Dec 2020
Making transport more robust and interpretable by moving data through a small number of anchor points
International Conference on Machine Learning (ICML), 2020
Chi-Heng Lin
Mehdi Azabou
Eva L. Dyer
OT
OOD
404
24
0
21 Dec 2020
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
309
22
0
09 Nov 2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
International Conference on Learning Representations (ICLR), 2020
Khai Nguyen
S. Nguyen
Nhat Ho
Tung Pham
Hung Bui
246
21
0
05 Oct 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Neural Information Processing Systems (NeurIPS), 2020
Thibault Séjourné
François-Xavier Vialard
Gabriel Peyré
OT
378
86
0
09 Sep 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Samir Chowdhury
Tom Needham
238
61
0
07 Jun 2020
Hierarchical Optimal Transport for Robust Multi-View Learning
Dixin Luo
Hongteng Xu
Lawrence Carin
180
5
0
04 Jun 2020
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