Identifiability Results for Multimodal Contrastive Learning

International Conference on Learning Representations (ICLR), 2023

16 March 2023

Papers citing "Identifiability Results for Multimodal Contrastive Learning"

35 / 35 papers shown

Title
Eigenfunction Extraction for Ordered Representation Learning Burak Varıcı Che-Ping Tsai Ritabrata Ray Nicholas M. Boffi Pradeep Ravikumar 96 0 0 28 Oct 2025
Online Time Series Forecasting with Theoretical Guarantees Zijian Li Changze Zhou Minghao Fu Sanjay Manjunath Fan Feng Guangyi Chen Yingyao Hu Ruichu Cai Kun Zhang AI4TS OOD 124 0 0 21 Oct 2025
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Zhiwei Han Stefan Matthes Hao Shen CML 109 0 0 06 Oct 2025
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits Loka Li Wong Yu Kang Minghao Fu Guangyi Chen Zhenhao Chen Gongxu Luo Yuewen Sun Salman Khan Peter Spirtes Kun Zhang 148 0 0 14 Sep 2025
Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Duy Nguyen Abhi Kamboj Minh N. Do 84 0 0 03 Sep 2025
SmartCLIP: Modular Vision-language Alignment with Identification GuaranteesComputer Vision and Pattern Recognition (CVPR), 2025 Shaoan Xie Lingjing Kong Yujia Zheng Yu Yao Zeyu Tang Eric Xing Guangyi Chen Kun Zhang VLM 198 3 0 29 Jul 2025
Identifiable Object Representations under Spatial Ambiguities Avinash Kori Francesca Toni Ben Glocker OCL 178 0 0 09 Jun 2025
Causal View of Time Series Imputation: Some Identification Results on Missing MechanismInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zijian Li Boyan Xu Zhifeng Hao AI4TS CML 317 0 0 12 May 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 575 2 0 17 Apr 2025
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao Tianjiao Jiang Zhen Zhang Anton van den Hengel Javen Qinfeng Shi 544 3 0 14 Apr 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 419 2 0 27 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2025 Ruichu Cai Haiqin Huang Zhifang Jiang Zijian Li Changze Zhou Yuequn Liu Yuming Liu Zijian Li AI4TS CML 277 3 0 18 Feb 2025
Unsupervised Structural-Counterfactual Generation under Domain Shift Krishn Vishwas Kher Lokesh Venkata Siva Maruthi Badisa Saksham Mittal Kusampudi Venkata Datta Sri Harsha Chitneedi Geetha Sowmya SakethaNath Jagarlapudi OOD CML 211 0 0 17 Feb 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 539 3 0 31 Jan 2025
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 308 6 0 01 Jun 2024
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection Alain Ryser Thomas M. Sutter Alexander Marx Julia E. Vogt 266 0 0 29 May 2024
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals Ruichu Cai Zhifan Jiang Zijian Li Weilin Chen Xuexin Chen Zhifeng Hao Yifan Shen Guan-Hong Chen Kun Zhang 263 3 0 25 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 386 1 0 24 May 2024
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao Caroline Muller Francesco Locatello CML AI4CE 379 18 0 22 May 2024
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024 Simon Schrodi David T. Hoffmann Max Argus Volker Fischer Thomas Brox VLM 414 17 0 11 Apr 2024
A Unified Causal View of Instruction Tuning Luyao Chen Wei Huang Ruqing Zhang Wei Chen Jiafeng Guo Xueqi Cheng 153 1 0 09 Feb 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu Zhen Zhang Dong Gong Erdun Gao Biwei Huang Anton Van Den Hengel Kun Zhang Javen Qinfeng Shi Javen Qinfeng Shi 256 7 0 09 Feb 2024
A Probabilistic Model behind Self-Supervised Learning Alice Bizeul Bernhard Schölkopf Carl Allen SSL 213 2 0 02 Feb 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach Sagar Shrestha Xiao Fu 243 4 0 18 Jan 2024
Event-Based Contrastive Learning for Medical Time SeriesMachine Learning in Health Care (MLHC), 2023 Hyewon Jeong Nassim Oufattole Matthew B. A. McDermott Aparna Balagopalan P. Chandak Marzyeh Ghassemi Collin M. Stultz 354 9 0 16 Dec 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsEuropean Conference on Computer Vision (ECCV), 2023 Yichao Cai Yuhang Liu Zhen Zhang Javen Qinfeng Shi CLIP VLM 492 11 0 28 Nov 2023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations Cian Eastwood Julius von Kügelgen Linus Ericsson Diane Bouchacourt Pascal Vincent Bernhard Schölkopf Mark Ibrahim 189 13 0 15 Nov 2023
Multi-View Causal Representation Learning with Partial ObservabilityInternational Conference on Learning Representations (ICLR), 2023 Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 349 52 0 07 Nov 2023
Causal Representation Learning Made Identifiable by Grouping of Observational VariablesInternational Conference on Machine Learning (ICML), 2023 H. Morioka Aapo Hyvarinen OOD CML BDL 378 19 0 24 Oct 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 317 1 0 01 Sep 2023
Beyond Normal: On the Evaluation of Mutual Information EstimatorsNeural Information Processing Systems (NeurIPS), 2023 Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 212 53 0 19 Jun 2023
Causal Component AnalysisNeural Information Processing Systems (NeurIPS), 2023 Wendong Liang Armin Kekić Julius von Kügelgen Simon Buchholz M. Besserve Luigi Gresele Bernhard Schölkopf CML 340 48 0 26 May 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 275 17 0 07 Nov 2022
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit G. Sejnova M. Vavrecka Karla Stepanova VGen 144 2 0 07 Sep 2022
Weakly Supervised Disentanglement with GuaranteesInternational Conference on Learning Representations (ICLR), 2019 Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 307 145 0 22 Oct 2019