convolutional kernel

Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers EACL 2026 INSIGHT: Explainable Weakly-Supervised Medical Image Analysis MLHC 2025 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 LoCoCo: Dropping In Convolutions for Long Context Compression ICML 2024 ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models ICLR 2024 State-Free Inference of State-Space Models: The *Transfer Function* Approach ICML 2024 Taming Generative Diffusion Prior for Universal Blind Image Restoration NeurIPS 2024 Towards efficient deep spiking neural networks construction with spiking activity based pruning ICML 2024 UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement CVPR 2024 You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection NeurIPS 2024 Implicit Convolutional Kernels for Steerable CNNs NeurIPS 2023 LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs CVPR 2023 SMPConv: Self-Moving Point Representations for Continuous Convolution CVPR 2023 Fast Neural Kernel Embeddings for General Activations NeurIPS 2022 Learning with convolution and pooling operations in kernel methods NeurIPS 2022 S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces NeurIPS 2022 The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods ICLR 2021 Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020 Zero-shot Metric Learning IJCAI 2019 Fast 3D Modeling with Approximated Convolutional Kernels CoRL 2018 Convolutional Gaussian Processes NeurIPS 2017 Filter Forests for Learning Data-Dependent Convolutional Kernels CVPR 2014