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Representation Learning: A Review and New Perspectives

Representation Learning: A Review and New Perspectives

24 June 2012
Yoshua Bengio
Aaron Courville
Pascal Vincent
    OOD
    SSL
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Papers citing "Representation Learning: A Review and New Perspectives"

50 / 131 papers shown
Title
Autoencoding Random Forests
Autoencoding Random Forests
Binh Duc Vu
Jan Kapar
Marvin N. Wright
David S. Watson
48
0
0
27 May 2025
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
Sheshera Mysore
Debarati Das
Hancheng Cao
Bahareh Sarrafzadeh
48
0
0
21 May 2025
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Alexandre Chapin
Bruno Machado
Emmanuel Dellandrea
Liming Chen
OCL
66
0
0
16 May 2025
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
Nima Dehghani
AI4CE
54
0
0
12 May 2025
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
Peter Röseler
Oliver Schaudt
Helmut Berg
Christian Bauckhage
Matthias Koch
82
0
0
09 May 2025
Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath
Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath
Chris Wise
Akram Youssry
Alberto Peruzzo
Jo Plested
Matt Woolley
53
0
0
06 May 2025
Geospatial Mechanistic Interpretability of Large Language Models
Geospatial Mechanistic Interpretability of Large Language Models
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
AI4CE
82
0
0
06 May 2025
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
121
0
0
01 May 2025
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
Shinnosuke Saito
Takashi Matsubara
DiffM
110
1
0
28 Apr 2025
Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness
Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness
Erfan Loweimi
Mengjie Qian
Kate Knill
Mark Gales
60
0
0
26 Apr 2025
Shrinkage Initialization for Smooth Learning of Neural Networks
Shrinkage Initialization for Smooth Learning of Neural Networks
Miao Cheng
Feiyan Zhou
Hongwei Zou
Limin Wang
AI4CE
45
0
0
12 Apr 2025
Towards Combinatorial Interpretability of Neural Computation
Towards Combinatorial Interpretability of Neural Computation
Micah Adler
Dan Alistarh
Nir Shavit
FAtt
283
1
0
10 Apr 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
113
0
0
05 Apr 2025
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Muhammad Tahir
Mahboobeh Norouzi
Shehroz S. Khan
James Davie
Soichiro Yamanaka
A. Ashraf
77
1
0
01 Apr 2025
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory
Canlin Zhang
Xiuwen Liu
76
0
0
01 Apr 2025
Byzantine Resilient Federated Multi-Task Representation Learning
Byzantine Resilient Federated Multi-Task Representation Learning
Tuan Le
Shana Moothedath
67
0
0
24 Mar 2025
Mitigating Ambiguities in 3D Classification with Gaussian Splatting
Mitigating Ambiguities in 3D Classification with Gaussian Splatting
Ruiqi Zhang
Hao Zhu
Jiaqi Zhao
Qi Zhang
Xun Cao
Zhan Ma
3DPC
107
0
0
11 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
118
1
0
27 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
411
1
0
27 Feb 2025
FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization
FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization
Hamid Gadirov
Jos B. T. M. Roerdink
Steffen Frey
AI4CE
100
1
0
24 Feb 2025
Digital implementations of deep feature extractors are intrinsically informative
Digital implementations of deep feature extractors are intrinsically informative
Max Getter
77
0
0
20 Feb 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
104
1
0
18 Feb 2025
Object-Centric Image to Video Generation with Language Guidance
Object-Centric Image to Video Generation with Language Guidance
Angel Villar-Corrales
Gjergj Plepi
Sven Behnke
DiffM
VGen
OCL
155
1
0
17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
79
5
0
17 Feb 2025
Differential Adjusted Parity for Learning Fair Representations
Differential Adjusted Parity for Learning Fair Representations
Bucher Sahyouni
Matthew Vowels
Liqun Chen
Simon Hadfield
FaML
118
0
0
13 Feb 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales
Sven Behnke
143
4
0
11 Feb 2025
From Pixels to Components: Eigenvector Masking for Visual Representation Learning
From Pixels to Components: Eigenvector Masking for Visual Representation Learning
Alice Bizeul
Thomas M. Sutter
Alain Ryser
Bernhard Schölkopf
Julius von Kügelgen
Julia E. Vogt
127
2
0
10 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Chen
104
0
0
10 Feb 2025
Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
Wei Wu
Can Liao
Zizhen Deng
Zhengrui Guo
Jinzhuo Wang
66
0
0
06 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
Chengrui Li
Yunmiao Wang
Yule Wang
Weihan Li
Dieter Jaeger
Anqi Wu
CoGe
DRL
88
0
0
04 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
84
0
0
31 Jan 2025
Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
Xiaowei Jiang
Wenhao Ma
Yiqun Duan
T. Do
Chin-Teng Lin
98
0
0
21 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
116
0
0
17 Jan 2025
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
En-Qi Tseng
Pei-Cing Huang
Chan Hsu
Peng-Yi Wu
Chan-Tung Ku
Yihuang Kang
59
1
0
10 Jan 2025
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li
Yong Luo
Lefei Zhang
Zengmao Wang
Bo Du
Mamba
66
63
0
10 Jan 2025
Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT
Dongyang Dai
Zhiyong Wu
Shiyin Kang
Xixin Wu
Jia Jia
Dan Su
Dong Yu
Helen Meng
67
26
0
03 Jan 2025
learning discriminative features from spectrograms using center loss for speech emotion recognition
Dongyang Dai
Zhiyong Wu
Runnan Li
Xixin Wu
Jia Jia
Helen Meng
50
49
0
03 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
325
0
0
31 Dec 2024
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Mingliang Xu
Yuyao Zhou
Yuxin Zhang
Shen Li
Yong Li
Chia-Wen Lin
Zhanpeng Zeng
Rongrong Ji
MQ
173
0
0
31 Dec 2024
Symbolic Disentangled Representations for Images
Symbolic Disentangled Representations for Images
Alexandr Korchemnyi
A. Kovalev
Aleksandr I. Panov
OCL
71
0
0
31 Dec 2024
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
Serge Dolgikh
55
0
0
31 Dec 2024
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Konstantin Donhauser
Kristina Ulicna
Gemma Elyse Moran
Aditya Ravuri
Kian Kenyon-Dean
Cian Eastwood
Jason Hartford
103
0
0
20 Dec 2024
Machine Learning Analysis of Anomalous Diffusion
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai
Yi Hu
X. Qu
Hui Zhao
Gongyi Wang
Jing Li
Zihan Huang
95
1
0
02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
104
0
0
29 Nov 2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
68
6
0
04 Nov 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang
Sharut Gupta
Xinyi Zhang
Sana Tonekaboni
Stefanie Jegelka
Tommi Jaakkola
Caroline Uhler
DRL
61
2
0
31 Oct 2024
A Geometric Framework for Understanding Memorization in Generative Models
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross
Hamidreza Kamkari
Tongzi Wu
Rasa Hosseinzadeh
Zhaoyan Liu
George Stein
Jesse C. Cresswell
Gabriel Loaiza-Ganem
76
7
0
31 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSL
OOD
BDL
DRL
141
4
0
29 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin
Ullrich Köthe
DRL
77
0
0
25 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
322
0
0
22 Oct 2024
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