{"total":39,"rows":[{"id":"2203.13457","title":"Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap","created":"2022-03-25","cited_by_count":105,"area":null},{"id":"2402.16845","title":"Neural Operators with Localized Integral and Differential Kernels","created":"2024-02-26","cited_by_count":62,"area":null},{"id":"2207.10758","title":"DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection","created":"2022-07-21","cited_by_count":48,"area":null},{"id":"2106.02733","title":"DISCO: accurate Discrete Scale Convolutions","created":"2021-06-04","cited_by_count":36,"area":null},{"id":"2209.09898","title":"Text2Light: Zero-Shot Text-Driven HDR Panorama Generation","created":"2022-09-20","cited_by_count":24,"area":null},{"id":"2106.06418","title":"Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales","created":"2021-06-11","cited_by_count":17,"area":null},{"id":"2304.04595","title":"Scale-Equivariant UNet for Histopathology Image Segmentation","created":"2023-04-10","cited_by_count":11,"area":null},{"id":"2110.01476","title":"Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training","created":"2021-10-04","cited_by_count":10,"area":null},{"id":"2305.04665","title":"Riesz networks: scale invariant neural networks in a single forward pass","created":"2023-05-08","cited_by_count":8,"area":null},{"id":"2111.10978","title":"Deformation Robust Roto-Scale-Translation Equivariant CNNs","created":"2021-11-22","cited_by_count":7,"area":null},{"id":"2202.03967","title":"Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration","created":"2022-02-08","cited_by_count":7,"area":null},{"id":"2304.05864","title":"Scale-Equivariant Deep Learning for 3D Data","created":"2023-04-12","cited_by_count":6,"area":null},{"id":"2302.11349","title":"Steerable Equivariant Representation Learning","created":"2023-02-22","cited_by_count":5,"area":null},{"id":"2309.15638","title":"RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation","created":"2023-09-27","cited_by_count":5,"area":null},{"id":"2507.09264","title":"Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators","created":"2025-07-12","cited_by_count":5,"area":null},{"id":"2102.02282","title":"Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks","created":"2021-02-03","cited_by_count":4,"area":null},{"id":"2101.01841","title":"CNN-based Ego-Motion Estimation for Fast MAV Maneuvers","created":"2021-01-06","cited_by_count":3,"area":null},{"id":"2409.11140","title":"Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations","created":"2024-09-17","cited_by_count":3,"area":null},{"id":"2512.10723","title":"Generalized Spherical Neural Operators: Green's Function Formulation","created":"2025-12-11","cited_by_count":3,"area":null},{"id":"2211.10288","title":"Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks","created":"2022-11-18","cited_by_count":2,"area":null},{"id":"2303.01567","title":"Deep Neural Networks with Efficient Guaranteed Invariances","created":"2023-03-02","cited_by_count":2,"area":null},{"id":"2306.06934","title":"Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)","created":"2023-06-12","cited_by_count":2,"area":null},{"id":"2308.06022","title":"Scale-Preserving Automatic Concept Extraction (SPACE)","created":"2023-08-11","cited_by_count":2,"area":null},{"id":"2508.14187","title":"Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2211.08486","title":"Scalar Invariant Networks with Zero Bias","created":"2022-11-15","cited_by_count":1,"area":null},{"id":"2301.01469","title":"Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography","created":"2023-01-04","cited_by_count":1,"area":null},{"id":"2301.06057","title":"Hawk: An Industrial-strength Multi-label Document Classifier","created":"2023-01-15","cited_by_count":1,"area":null},{"id":"2304.09214","title":"SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks","created":"2023-04-18","cited_by_count":1,"area":null},{"id":"2305.19889","title":"Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2310.08803","title":"Advancing Perception in Artificial Intelligence through Principles of Cognitive Science","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2407.18000","title":"Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework","created":"2024-07-25","cited_by_count":1,"area":null},{"id":"2207.10950","title":"Scale dependant layer for self-supervised nuclei encoding","created":"2022-07-22","cited_by_count":0,"area":null},{"id":"2306.16938","title":"Restore Translation Using Equivariant Neural Networks","created":"2023-06-29","cited_by_count":0,"area":null},{"id":"2309.08171","title":"Unveiling Invariances via Neural Network Pruning","created":"2023-09-15","cited_by_count":0,"area":null},{"id":"2403.13677","title":"Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers","created":"2024-03-20","cited_by_count":0,"area":null},{"id":"2403.18294","title":"Multi-scale Unified Network for Image Classification","created":"2024-03-27","cited_by_count":0,"area":null},{"id":"2507.16674","title":"GASPnet: Global Agreement to Synchronize Phases","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2601.03561","title":"Neural Operators for Biomedical Spherical Heterogeneity","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2603.02843","title":"Scale-invariant Gaussian derivative residual networks","created":"2026-03-03","cited_by_count":0,"area":null}],"next_cursor":null}