{"total":73,"rows":[{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2209.07999","title":"Self-Supervised Learning with an Information Maximization Criterion","created":"2022-09-16","cited_by_count":38,"area":null},{"id":"2306.08777","title":"MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting","created":"2023-06-14","cited_by_count":33,"area":null},{"id":"2309.05911","title":"Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning","created":"2023-09-12","cited_by_count":32,"area":null},{"id":"2206.05483","title":"Bilateral Dependency Optimization: Defending Against Model-inversion Attacks","created":"2022-06-11","cited_by_count":30,"area":null},{"id":"2110.02501","title":"On the Surrogate Gap between Contrastive and Supervised Losses","created":"2021-10-06","cited_by_count":25,"area":null},{"id":"2207.06167","title":"Unsupervised Visual Representation Learning by Synchronous Momentum Grouping","created":"2022-07-13","cited_by_count":22,"area":null},{"id":"2210.11472","title":"VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling","created":"2022-10-20","cited_by_count":21,"area":null},{"id":"2301.08164","title":"DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies","created":"2023-01-19","cited_by_count":21,"area":null},{"id":"2305.17326","title":"Matrix Information Theory for Self-Supervised Learning","created":"2023-05-27","cited_by_count":21,"area":null},{"id":"2208.11266","title":"SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge","created":"2022-08-24","cited_by_count":16,"area":null},{"id":"2309.17281","title":"Information Flow in Self-Supervised Learning","created":"2023-09-29","cited_by_count":16,"area":null},{"id":"2109.07455","title":"Deep Bregman Divergence for Contrastive Learning of Visual Representations","created":"2021-09-15","cited_by_count":13,"area":null},{"id":"2211.07907","title":"MMD-B-Fair: Learning Fair Representations with Statistical Testing","created":"2022-11-15","cited_by_count":13,"area":null},{"id":"2109.03386","title":"On Characterizing the Trade-off in Invariant Representation Learning","created":"2021-09-08","cited_by_count":12,"area":null},{"id":"2206.14702","title":"Interventional Contrastive Learning with Meta Semantic Regularizer","created":"2022-06-29","cited_by_count":11,"area":null},{"id":"2107.02495","title":"InfoNCE is variational inference in a recognition parameterised model","created":"2021-07-06","cited_by_count":10,"area":null},{"id":"2209.14905","title":"Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations","created":"2022-09-29","cited_by_count":10,"area":null},{"id":"2212.04604","title":"Localized Contrastive Learning on Graphs","created":"2022-12-08","cited_by_count":10,"area":null},{"id":"2401.09067","title":"Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2112.15265","title":"Entropy Regularized Optimal Transport Independence Criterion","created":"2021-12-31","cited_by_count":9,"area":null},{"id":"2402.09050","title":"End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training","created":"2024-02-14","cited_by_count":8,"area":null},{"id":"2406.10743","title":"Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?","created":"2024-06-15","cited_by_count":8,"area":null},{"id":"2512.19605","title":"KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning","created":"2025-12-22","cited_by_count":8,"area":null},{"id":"2107.00594","title":"Pretext Tasks selection for multitask self-supervised speech representation learning","created":"2021-07-01","cited_by_count":7,"area":null},{"id":"2109.08553","title":"Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck","created":"2021-09-17","cited_by_count":7,"area":null},{"id":"2209.07902","title":"MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning","created":"2022-09-16","cited_by_count":7,"area":null},{"id":"2405.18045","title":"Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2505.12473","title":"Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables","created":"2025-05-18","cited_by_count":7,"area":null},{"id":"2304.00395","title":"Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis","created":"2023-04-01","cited_by_count":6,"area":null},{"id":"2404.19228","title":"Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric","created":"2024-04-30","cited_by_count":6,"area":null},{"id":"2412.00613","title":"A Unified Data Representation Learning for Non-parametric Two-sample Testing","created":"2024-11-30","cited_by_count":6,"area":null},{"id":"2510.11140","title":"DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing","created":"2025-10-13","cited_by_count":6,"area":null},{"id":"2204.08226","title":"Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey","created":"2022-04-18","cited_by_count":5,"area":null},{"id":"2312.10725","title":"Harnessing small projectors and multiple views for efficient vision pretraining","created":"2023-12-17","cited_by_count":5,"area":null},{"id":"2511.03114","title":"An Augmentation Overlap Theory of Contrastive Learning","created":"2025-11-05","cited_by_count":5,"area":null},{"id":"2204.04170","title":"Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning","created":"2022-04-08","cited_by_count":4,"area":null},{"id":"2302.10260","title":"Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head","created":"2023-02-20","cited_by_count":4,"area":null},{"id":"2307.05948","title":"Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation","created":"2023-07-12","cited_by_count":4,"area":null},{"id":"2307.08913","title":"Towards the Sparseness of Projection Head in Self-Supervised Learning","created":"2023-07-18","cited_by_count":4,"area":null},{"id":"2405.18786","title":"MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence","created":"2024-05-29","cited_by_count":4,"area":null},{"id":"2410.12474","title":"Mind the Gap Between Prototypes and Images in Cross-domain Finetuning","created":"2024-10-16","cited_by_count":3,"area":null},{"id":"2501.18875","title":"Self-Supervised Learning Using Nonlinear Dependence","created":"2025-01-31","cited_by_count":3,"area":null},{"id":"2509.07289","title":"Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space","created":"2025-09-08","cited_by_count":3,"area":null},{"id":"2208.00789","title":"Self-supervised learning with rotation-invariant kernels","created":"2022-07-28","cited_by_count":2,"area":null},{"id":"2302.09579","title":"Evaluating Representations with Readout Model Switching","created":"2023-02-19","cited_by_count":2,"area":null},{"id":"2310.02903","title":"FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2409.06890","title":"Learning Representations for Independence Testing","created":"2024-09-10","cited_by_count":2,"area":null},{"id":"2506.09781","title":"On the Similarities of Embeddings in Contrastive Learning","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2603.07529","title":"Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure","created":"2026-03-08","cited_by_count":2,"area":null},{"id":"2208.07934","title":"Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions","created":"2022-08-16","cited_by_count":1,"area":null},{"id":"2307.02078","title":"Graph Contrastive Topic Model","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2403.01549","title":"Self-Supervised Representation Learning with Meta Comprehensive Regularization","created":"2024-03-03","cited_by_count":1,"area":null},{"id":"2405.01053","title":"On the Universality of Self-Supervised Learning","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2407.11168","title":"Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing","created":"2024-07-15","cited_by_count":1,"area":null},{"id":"2410.23595","title":"Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2412.00542","title":"Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective","created":"2024-11-30","cited_by_count":1,"area":null},{"id":"2502.00052","title":"Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2502.03227","title":"Adversarial Dependence Minimization","created":"2025-02-05","cited_by_count":1,"area":null},{"id":"2509.05606","title":"Patch-Level Kernel Alignment for Dense Self-Supervised Learning","created":"2025-09-06","cited_by_count":1,"area":null},{"id":"2209.12807","title":"Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization","created":"2022-09-26","cited_by_count":0,"area":null},{"id":"2301.04410","title":"GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis","created":"2023-01-11","cited_by_count":0,"area":null},{"id":"2304.09552","title":"Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning","created":"2023-04-19","cited_by_count":0,"area":null},{"id":"2311.11091","title":"Deep Tensor Network","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2312.00232","title":"Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks","created":"2023-11-30","cited_by_count":0,"area":null},{"id":"2410.00772","title":"On the Generalization and Causal Explanation in Self-Supervised Learning","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2507.05412","title":"Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2507.09871","title":"Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2510.10572","title":"Understanding Self-supervised Contrastive Learning through Supervised Objectives","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2511.10130","title":"RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2606.17450","title":"A Machine-Learned Comorbidity Index","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2606.21590","title":"Radial Basis Function Networks as Projection Heads in Self-Supervised Learning","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2609.00057","title":"ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}