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1402.0915
Cited By
Learning Ordered Representations with Nested Dropout
International Conference on Machine Learning (ICML), 2014
5 February 2014
Oren Rippel
M. Gelbart
Ryan P. Adams
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Papers citing
"Learning Ordered Representations with Nested Dropout"
50 / 59 papers shown
Enforcing Orderedness to Improve Feature Consistency
Sophie L. Wang
Alex Quach
Nithin Parsan
John J. Yang
85
0
0
01 Dec 2025
Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders
Dimitrios Bralios
Jonah Casebeer
Paris Smaragdis
348
4
0
10 Jul 2025
Empirical Evaluation of Progressive Coding for Sparse Autoencoders
Hans Peter
Anders Søgaard
321
0
0
30 Apr 2025
"Principal Components" Enable A New Language of Images
Xin Wen
Bingchen Zhao
Ismail Elezi
Jiankang Deng
Xiaojuan Qi
456
1
0
11 Mar 2025
Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
Nithin Parsan
David J. Yang
John J. Yang
302
10
0
11 Mar 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Youngjun Jun
Jiwoo Park
Kyobin Choo
Tae Eun Choi
Seong Jae Hwang
CoGe
383
5
0
31 Oct 2024
ElasticTok: Adaptive Tokenization for Image and Video
International Conference on Learning Representations (ICLR), 2024
Wilson Yan
Matei A. Zaharia
Volodymyr Mnih
Pieter Abbeel
Aleksandra Faust
Hao Liu
VGen
494
28
0
10 Oct 2024
MatMamba: A Matryoshka State Space Model
Abhinav Shukla
Sai H. Vemprala
Aditya Kusupati
Ashish Kapoor
Mamba
299
3
0
09 Oct 2024
HydraViT: Stacking Heads for a Scalable ViT
Neural Information Processing Systems (NeurIPS), 2024
Janek Haberer
A. Hojjat
Olaf Landsiedel
260
7
0
26 Sep 2024
SoCodec: A Semantic-Ordered Multi-Stream Speech Codec for Efficient Language Model Based Text-to-Speech Synthesis
Spoken Language Technology Workshop (SLT), 2024
Haohan Guo
Fenglong Xie
Kun Xie
Dongchao Yang
Dake Guo
Xixin Wu
Helen Meng
217
12
0
02 Sep 2024
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning
Omer Nacar
Anis Koubaa
215
8
0
30 Jul 2024
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
Cristian Meo
Ksenia Sycheva
Anirudh Goyal
Justin Dauwels
MQ
361
12
0
18 Jun 2024
Matryoshka Multimodal Models
Mu Cai
Jianwei Yang
Jianfeng Gao
Yong Jae Lee
VLM
322
74
0
27 May 2024
Collaboration of Teachers for Semi-supervised Object Detection
Liyu Chen
Huaao Tang
Yi Wen
Hanting Chen
Wei Li
Junchao Liu
Jie Hu
389
3
0
22 May 2024
Least Volume Analysis
Qiuyi Chen
Cashen Diniz
M. Fuge
309
1
0
27 Apr 2024
Distributional Principal Autoencoders
Xinwei Shen
N. Meinshausen
286
5
0
21 Apr 2024
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
International Conference on Learning Representations (ICLR), 2024
Shangyu Wu
Ying Xiong
Yufei Cui
Xue Liu
Buzhou Tang
Tei-Wei Kuo
Chun Jason Xue
287
7
0
04 Jan 2024
Cross Initialization for Personalized Text-to-Image Generation
Lianyu Pang
Jian Yin
Haoran Xie
Qiping Wang
Qing Li
Xudong Mao
DiffM
297
10
0
26 Dec 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
Ning Ding
Xingtai Lv
Qiaosen Wang
Yulin Chen
Bowen Zhou
Zhiyuan Liu
Maosong Sun
354
110
0
20 Nov 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
International Conference on Machine Learning (ICML), 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
415
11
0
28 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Lu Zeng
Xuan Chen
Xiaoshuang Shi
Mengqi Li
MLT
NoLa
253
6
0
03 Aug 2023
Ordered and Binary Speaker Embedding
Interspeech (Interspeech), 2023
Jiaying Wang
Xianglong Wang
Na Wang
Lantian Li
Dong Wang
198
0
0
25 May 2023
A Neural Space-Time Representation for Text-to-Image Personalization
ACM Transactions on Graphics (TOG), 2023
Yuval Alaluf
Elad Richardson
G. Metzer
Daniel Cohen-Or
DiffM
504
141
0
24 May 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Matthew Ho
Xiao-Fen Zhao
Benjamin Dan Wandelt
269
6
0
18 May 2023
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yan Zhao
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
318
50
0
12 Feb 2023
Federated Learning for Inference at Anytime and Anywhere
Zicheng Liu
Da Li
Javier Fernandez-Marques
Stefanos Laskaridis
Yan Gao
Łukasz Dudziak
Stan Z. Li
S. Hu
Timothy M. Hospedales
FedML
220
6
0
08 Dec 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Chen Dun
Mirian Hipolito Garcia
C. Jermaine
Dimitrios Dimitriadis
Anastasios Kyrillidis
252
28
0
28 Oct 2022
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Mojtaba Valipour
Mehdi Rezagholizadeh
I. Kobyzev
A. Ghodsi
545
273
0
14 Oct 2022
Learning Representations for CSI Adaptive Quantization and Feedback
Valentina Rizzello
Matteo Nerini
M. Joham
B. Clerckx
Wolfgang Utschick
MQ
170
6
0
13 Jul 2022
Compressing Features for Learning with Noisy Labels
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yingyi Chen
S. Hu
Xin Shen
C. Ai
Johan A. K. Suykens
NoLa
206
23
0
27 Jun 2022
Matryoshka Representation Learning
Neural Information Processing Systems (NeurIPS), 2022
Aditya Kusupati
Gantavya Bhatt
Aniket Rege
Matthew Wallingford
Aditya Sinha
...
William Howard-Snyder
Kaifeng Chen
Sham Kakade
Prateek Jain
Ali Farhadi
646
225
0
26 May 2022
Boosting Co-teaching with Compression Regularization for Label Noise
Yingyi Chen
Xin Shen
S. Hu
Johan A. K. Suykens
NoLa
230
58
0
28 Apr 2021
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDL
DRL
303
33
0
10 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Neural Information Processing Systems (NeurIPS), 2021
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
807
344
0
26 Feb 2021
Hyperparameter Transfer Learning with Adaptive Complexity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Samuel Horváth
Aaron Klein
Peter Richtárik
Cédric Archambeau
187
24
0
25 Feb 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
International Conference on Learning Representations (ICLR), 2021
Yilun Xu
Yang Song
Sahaj Garg
Linyuan Gong
Rui Shu
Aditya Grover
Stefano Ermon
DiffM
222
15
0
23 Feb 2021
Progressive Neural Image Compression with Nested Quantization and Latent Ordering
International Conference on Information Photonics (ICIP), 2021
Yadong Lu
Yinhao Zhu
Yang Yang
A. Said
Taco S. Cohen
MQ
278
40
0
04 Feb 2021
Variational Nested Dropout
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yufei Cui
Yushun Mao
Ziquan Liu
Qiao Li
Antoni B. Chan
Xue Liu
Tei-Wei Kuo
Chun Jason Xue
BDL
173
5
0
27 Jan 2021
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
Gyuwan Kim
Dong Wang
470
108
0
14 Oct 2020
Improving compute efficacy frontiers with SliceOut
Pascal Notin
Aidan Gomez
Joanna Yoo
Y. Gal
202
1
0
21 Jul 2020
Regularized linear autoencoders recover the principal components, eventually
Neural Information Processing Systems (NeurIPS), 2020
Xuchan Bao
James Lucas
Sushant Sachdeva
Roger C. Grosse
239
37
0
13 Jul 2020
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks
Wei Chen
Kevin N. Chiu
M. Fuge
248
121
0
21 Jun 2020
Ordering Dimensions with Nested Dropout Normalizing Flows
Artur Bekasov
Iain Murray
DRL
235
8
0
15 Jun 2020
Learning Sparse Networks Using Targeted Dropout
Aidan Gomez
Ivan Zhang
Siddhartha Rao Kamalakara
Divyam Madaan
Kevin Swersky
Y. Gal
Geoffrey E. Hinton
490
102
0
31 May 2019
Disentangling Style and Content in Anime Illustrations
Sitao Xiang
Hao Li
GAN
DRL
314
8
0
26 May 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations
International Conference on Image Analysis and Processing (ICIAP), 2019
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
329
0
0
23 May 2019
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Songlin Yang
Shawn Tan
Alessandro Sordoni
Aaron Courville
562
345
0
22 Oct 2018
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma
A. Sattar
Jun Zhou
Qingliang Chen
Kaile Su
238
7
0
29 Aug 2018
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks
Sitao Xiang
Hao Li
GAN
137
7
0
21 May 2018
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification
Wenlin Wang
Changyou Chen
Wenqi Wang
Piyush Rai
Lawrence Carin
AI4TS
156
33
0
14 Nov 2016
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