{"total":32,"rows":[{"id":"2107.09539","title":"Parametric Scattering Networks","created":"2021-07-20","cited_by_count":16,"area":null},{"id":"2108.13122","title":"Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification","created":"2021-08-30","cited_by_count":12,"area":null},{"id":"2101.10143","title":"Spectral Leakage and Rethinking the Kernel Size in CNNs","created":"2021-01-25","cited_by_count":11,"area":null},{"id":"2108.13939","title":"ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets","created":"2021-08-31","cited_by_count":9,"area":null},{"id":"2101.07528","title":"The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods","created":"2021-01-19","cited_by_count":8,"area":null},{"id":"2112.00845","title":"Improving Differentially Private SGD via Randomly Sparsified Gradients","created":"2021-12-01","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":"2206.07125","title":"Self-Supervised Pretraining for Differentially Private Learning","created":"2022-06-14","cited_by_count":4,"area":null},{"id":"2209.13233","title":"Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification","created":"2022-09-27","cited_by_count":4,"area":null},{"id":"2210.03843","title":"Differentially Private Deep Learning with ModelMix","created":"2022-10-07","cited_by_count":4,"area":null},{"id":"2212.12478","title":"Image Classification with Small Datasets: Overview and Benchmark","created":"2022-12-23","cited_by_count":4,"area":null},{"id":"2307.08467","title":"Riesz feature representation: scale equivariant scattering network for classification tasks","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2410.00984","title":"Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves","created":"2024-10-01","cited_by_count":4,"area":null},{"id":"2501.18283","title":"Random Feature Representation Boosting","created":"2025-01-30","cited_by_count":4,"area":null},{"id":"2303.01567","title":"Deep Neural Networks with Efficient Guaranteed Invariances","created":"2023-03-02","cited_by_count":2,"area":null},{"id":"2203.15392","title":"Efficient Hybrid Network: Inducting Scattering Features","created":"2022-03-29","cited_by_count":1,"area":null},{"id":"2204.08269","title":"Differentiable Time-Frequency Scattering on GPU","created":"2022-04-18","cited_by_count":1,"area":null},{"id":"2206.03960","title":"Predict better with less training data using a QNN","created":"2022-06-08","cited_by_count":1,"area":null},{"id":"2309.01694","title":"No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets","created":"2023-09-04","cited_by_count":1,"area":null},{"id":"2402.15430","title":"Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2504.04780","title":"Bottom-Up Scattering Information Perception Network for SAR target recognition","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2506.12039","title":"The Maximal Overlap Discrete Wavelet Scattering Transform and Its Application in Classification Tasks","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2507.06525","title":"AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2103.00087","title":"CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2107.11225","title":"Wavelet Design in a Learning Framework","created":"2021-07-23","cited_by_count":0,"area":null},{"id":"2203.10307","title":"Modelling nonlinear dependencies in the latent space of inverse scattering","created":"2022-03-19","cited_by_count":0,"area":null},{"id":"2210.12185","title":"Attention-Based Scattering Network for Satellite Imagery","created":"2022-10-21","cited_by_count":0,"area":null},{"id":"2303.10408","title":"ExplainFix: Explainable Spatially Fixed Deep Networks","created":"2023-03-18","cited_by_count":0,"area":null},{"id":"2403.08362","title":"Mean-Field Microcanonical Gradient Descent","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2601.20401","title":"ScatterFusion: A Hierarchical Scattering Transform Framework for Enhanced Time Series Forecasting","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2602.11145","title":"SCRAPL: Scattering Transform with Random Paths for Machine Learning","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2603.20908","title":"Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data","created":"2026-03-21","cited_by_count":0,"area":null}],"next_cursor":null}