Representation Learning: A Review and New Perspectives

24 June 2012

Yoshua Bengio

Aaron Courville

Pascal Vincent

OOD

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Papers citing "Representation Learning: A Review and New Perspectives"

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ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability Zhongxiang Sun Xiaoxue Zang Kai Zheng Yang Song Jun Xu Xiao Zhang Weijie Yu Yang Song Han Li 78 9 0 15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 62 5 0 11 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 110 77 0 09 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 60 0 0 08 Oct 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai Haoran Sun Huang Fang Shuohuan Wang Yu Sun Hua Wu 367 1 0 03 Oct 2024
Formation of Representations in Neural Networks Liu Ziyin Isaac Chuang Tomer Galanti T. Poggio 127 7 0 03 Oct 2024
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection Hongru Yan Yu Zheng Yueqi Duan 3DGS 105 2 0 02 Oct 2024
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos Giovanni Luca Marchetti Danica Kragic Martina Scolamiero 62 0 0 17 Sep 2024
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation Melanie F. Pradier Javier González CML 54 0 0 09 Sep 2024
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique Andrew Kiruluta Andreas Lemos 68 0 0 19 Aug 2024
Understanding Generative AI Content with Embedding Models Max Vargas Reilly Cannon A. Engel Anand D. Sarwate Tony Chiang 107 3 0 19 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 113 0 0 08 Aug 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Hua Yujin Huang Shuo Huang Tao Feng Zhuang Li Chris Bain R. Bassed Gholamreza Haffari CML OOD 74 2 0 18 Jun 2024
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model Di Wang Meiqi Hu Yao Jin Yuchun Miao Jiaqi Yang ... Lefei Zhang Chen Wu Di Lin Dacheng Tao Liangpei Zhang 94 27 0 17 Jun 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 77 6 0 16 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 143 8 0 26 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 61 0 0 24 May 2024
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization A. Serani Matteo Diez AI4CE 62 2 0 22 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 91 1 0 18 May 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 72 5 0 18 Apr 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection Phai Vu Dinh Nguyen Quang Uy D. Hoang Diep N. Nguyen Son Pham Bao E. Dutkiewicz AAML 86 2 0 22 Mar 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 93 1 0 18 Jan 2024
Jointly spatial-temporal representation learning for individual trajectories Fei Huang Jianrong Lv Yang Yue AI4TS 138 1 0 07 Dec 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 60 21 0 11 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 78 3 0 27 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 54 1 0 13 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 83 2 0 24 Aug 2023
The Representational Status of Deep Learning Models Eamon Duede 44 0 0 21 Mar 2023
Augmentation Invariant Manifold Learning Shulei Wang 148 1 0 01 Nov 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 53 1 0 12 Oct 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction Jun Chen Ming Hu Boyang Albert Li Mohamed Elhoseiny 82 36 0 01 Jun 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 46 0 0 05 Apr 2022
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 92 6 0 15 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 68 87 0 02 Mar 2022
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 55 20 0 18 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 100 279 0 15 Aug 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 60 44 0 17 Jun 2020
Prior knowledge distillation based on financial time series Jie Fang Jianwu Lin AI4TS 17 6 0 16 Jun 2020
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions P. Casas GNN 36 8 0 03 Mar 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 77 136 0 22 Oct 2019
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 127 685 0 06 Dec 2017
From optimal transport to generative modeling: the VEGAN cookbook Olivier Bousquet Sylvain Gelly Ilya O. Tolstikhin Carl-Johann Simon-Gabriel B. Schoelkopf OT 41 147 0 22 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 83 1,723 0 08 May 2017
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks Stanislaw Jastrzebski Damian Lesniak Wojciech M. Czarnecki 45 77 0 07 Feb 2017
Deep Submodular Functions J. Bilmes Wenruo Bai 46 45 0 31 Jan 2017
dna2vec: Consistent vector representations of variable-length k-mers Patrick Ng 42 173 0 23 Jan 2017
Deep Learning for Computational Chemistry Garrett B. Goh Nathan Oken Hodas Abhinav Vishnu AI4CE 47 674 0 17 Jan 2017
Unsupervised Latent Behavior Manifold Learning from Acoustic Features: audio2behavior Haoqi Li Brian R. Baucom P. Georgiou 22 16 0 12 Jan 2017
Deep Learning and Its Applications to Machine Health Monitoring: A Survey Rui Zhao Ruqiang Yan Zhenghua Chen K. Mao Peng Wang Ruize Gao AI4CE 51 164 0 16 Dec 2016
A Survey of Multi-View Representation Learning Yingming Li Ming Yang Zhongfei Zhang AI4TS 3DV 115 510 0 03 Oct 2016