Representation Learning via Invariant Causal Mechanisms

15 October 2020

Papers citing "Representation Learning via Invariant Causal Mechanisms"

50 / 61 papers shown

Title
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 45 0 0 30 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 125 0 0 21 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 122 0 0 28 Feb 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 60 4 0 31 Dec 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 50 0 0 28 Aug 2024
Unsupervised Representation Learning by Balanced Self Attention Matching Daniel Shalam Simon Korman SSL 33 0 0 04 Aug 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 77 3 0 05 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 61 1 0 08 May 2024
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Adrien Bardes Jean Ponce Yann LeCun MDE 33 23 0 24 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
Neural Algorithmic Reasoning Without Intermediate Supervision Gleb Rodionov Liudmila Prokhorenkova OffRL LRM OOD 24 10 0 23 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 29 0 07 Jun 2023
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 38 5 0 19 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 52 77 0 13 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 30 0 0 08 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 36 26 0 20 Feb 2023
Causality-based Dual-Contrastive Learning Framework for Domain Generalization Zining Chen Weiqiu Wang Zhicheng Zhao Aidong Men OOD 35 1 0 22 Jan 2023
Non-parametric identifiability and sensitivity analysis of synthetic control models Jakob Zeitler Athanasios Vlontzos Ciarán M. Gilligan-Lee CML 27 6 0 18 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 17 9 0 27 Dec 2022
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints Hao Ding J. Wu Zhaoshuo Li Mathias Unberath CML 30 10 0 30 Nov 2022
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks Christina Chaccour Walid Saad Merouane Debbah Zhu Han H. Vincent Poor GNN 3DV 32 120 0 25 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency Yu Yang Wing Yin Cheung Chang-rui Liu Xiang Ji 29 1 0 05 Nov 2022
Self-Supervised Learning Through Efference Copies Franz Scherr Qinghai Guo Timoleon Moraitis 19 10 0 17 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 27 4 0 06 Oct 2022
What shapes the loss landscape of self-supervised learning? Liu Ziyin Ekdeep Singh Lubana Masakuni Ueda Hidenori Tanaka 48 20 0 02 Oct 2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods Skanda Koppula Yazhe Li Evan Shelhamer Andrew Jaegle Nikhil Parthasarathy Relja Arandjelović João Carreira Olivier J. Hénaff 30 9 0 30 Sep 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 18 48 0 23 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 29 35 0 19 Sep 2022
Feature diversity in self-supervised learning Pranshu Malviya Arjun Vaithilingam Sudhakar SSL LRM 12 2 0 02 Sep 2022
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization Gilhyun Nam Gyeongjae Choi Kyungmin Lee OOD 18 4 0 22 Aug 2022
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics Renjie Xie Wei Xu Jiabao Yu A. Hu Derrick Wing Kwan Ng A. L. Swindlehurst 27 18 0 04 Aug 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Chuhan Wu Xing Xie M. Cha FedML 24 53 0 19 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin Hongteng Xu Canqian Yang Yi Xu 16 24 0 20 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Regularising for invariance to data augmentation improves supervised learning Aleksander Botev Matthias Bauer Soham De 30 14 0 07 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive Biases Nikunj Saunshi Jordan T. Ash Surbhi Goel Dipendra Kumar Misra Cyril Zhang Sanjeev Arora Sham Kakade A. Krishnamurthy SSL 19 109 0 28 Feb 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance Zhuoning Yuan Yuexin Wu Zi-qi Qiu Xianzhi Du Lijun Zhang Denny Zhou Tianbao Yang 32 26 0 24 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 6 42 0 01 Feb 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 74 80 0 13 Jan 2022
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 37 4 0 24 Dec 2021
Weakly-Supervised Video Object Grounding via Causal Intervention Wei Wang Junyu Gao Changsheng Xu CML 28 20 0 01 Dec 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation C. Ouyang C. L. P. Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 25 155 0 24 Nov 2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations Kyuyong Shin Hanock Kwak KyungHyun Kim Max Nihlén Ramström Jisu Jeong Jung-Woo Ha S. Kim ELM 30 38 0 15 Nov 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 63 53 0 09 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 30 80 0 08 Sep 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 30 36 0 12 Jul 2021