Emergence of Invariance and Disentanglement in Deep Representations

5 June 2017

Papers citing "Emergence of Invariance and Disentanglement in Deep Representations"

50 / 93 papers shown

Title
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 119 0 0 02 May 2025
Generalization Capability for Imitation Learning Yixiao Wang 133 0 0 25 Apr 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 139 0 0 07 Mar 2025
Quantifying Knowledge Distillation Using Partial Information Decomposition Pasan Dissanayake Faisal Hamman Barproda Halder Ilia Sucholutsky Qiuyi Zhang Sanghamitra Dutta 36 0 0 12 Nov 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data Rahul Ramesh Anthony Bisulco Ronald W. DiTullio Linran Wei Vijay Balasubramanian Kostas Daniilidis Pratik Chaudhari 41 2 0 18 Jul 2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity Michael Munn Benoit Dherin Javier Gonzalvo UQCV 40 2 0 28 May 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 33 3 0 27 May 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply Chengting Yu Fengzhao Zhang Hanzhi Ma Aili Wang Er-ping Li 22 1 0 12 Dec 2023
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling Hao Wang Zhi-Qi Cheng Jingdong Sun Xin Yang Xiao-Jun Wu Hongyang Chen Yan Yang 30 5 0 28 Oct 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Wenwen Qiang Changwen Zheng 22 2 0 21 Aug 2023
A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation Adam Perrett Danny Wood Gavin Brown 19 0 0 16 Jul 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 28 24 0 29 May 2023
Taming AI Bots: Controllability of Neural States in Large Language Models Stefano Soatto Paulo Tabuada Pratik Chaudhari Tianwei Liu LLMAG LM&Ro 18 13 0 29 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 51 106 0 22 May 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Y. Liu 30 18 0 07 Apr 2023
Generalized Information Bottleneck for Gaussian Variables Wave Ngampruetikorn David J. Schwab 8 1 0 31 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager Pramuditha Perera L. Zancato Alessandro Achille Parminder Bhatia Stefano Soatto CoGe 30 30 0 28 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 29 12 0 01 Feb 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 24 97 0 16 Dec 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 30 13 0 02 Nov 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data Ching-Yun Ko Pin-Yu Chen Jeet Mohapatra Payel Das Lucani E. Daniel 19 3 0 06 Oct 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 38 11 0 03 Oct 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 53 30 0 27 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 20 6 0 16 Sep 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 41 121 0 04 Jul 2022
On Leave-One-Out Conditional Mutual Information For Generalization Mohamad Rida Rammal Alessandro Achille Aditya Golatkar Suhas Diggavi Stefano Soatto VLM 28 5 0 01 Jul 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 30 4 0 29 Jun 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 26 5 0 20 Jun 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 24 12 0 24 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim K. Sohn SSL 26 43 0 08 Apr 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu Akshay Ravindra Kulkarni Suvaansh Bhambri Varun Jampani R. Venkatesh Babu 39 11 0 09 Feb 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 24 8 0 02 Feb 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 41 153 0 16 Dec 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 34 125 0 18 Oct 2021
On the Parameter Combinations That Matter and on Those That do Not N. Evangelou Noah J. Wichrowski George A. Kevrekidis Felix Dietrich M. Kooshkbaghi Sarah McFann Ioannis G. Kevrekidis 40 13 0 13 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 24 44 0 07 Sep 2021
Preventing dataset shift from breaking machine-learning biomarkers Jéroome Dockes Gaël Varoquaux J B Poline OOD 17 64 0 21 Jul 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 26 32 0 27 Jun 2021
Examining and Combating Spurious Features under Distribution Shift Chunting Zhou Xuezhe Ma Paul Michel Graham Neubig OOD 27 66 0 14 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Xiao Wang Qi Zhu AAML 11 45 0 13 Jun 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 42 8 0 03 May 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 19 70 0 12 Apr 2021
Learning Invariant Representation of Tasks for Robust Surgical State Estimation Yidan Qin M. Allan Yisong Yue J. W. Burdick M. Azizian OOD 11 8 0 18 Feb 2021
Estimating informativeness of samples with Smooth Unique Information Hrayr Harutyunyan Alessandro Achille Giovanni Paolini Orchid Majumder Avinash Ravichandran Rahul Bhotika Stefano Soatto 24 24 0 17 Jan 2021