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94 papers

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Co-occurring keywords

convolutional neural network (4226) model compression (3302) image classification (1944) kernel methods (1097) semantic segmentation (3186) neural network (6616) object detection (2762) image generation (2073) attention mechanism (4001) kernel approximation (100)

Papers

Decomposed Distribution Matching in Dataset Condensation WACV 2025
Dropout Connects Transformers and CNNs: Transfer General Knowledge for Knowledge Distillation WACV 2025
Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance CVPR 2025
ROICtrl: Boosting Instance Control for Visual Generation CVPR 2025
A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025
Breaking the Low-Rank Dilemma of Linear Attention CVPR 2025
G2L-CariGAN: Caricature Generation from Global Structure to Local Features AAAI 2024
Reshape Dimensions Network for Speaker Recognition INTERSPEECH 2024
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective CVPR 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NIPS 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NIPS 2024
Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels AISTATS 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training CVPR 2024
On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024
USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy AISTATS 2023
ClusT3: Information Invariant Test-Time Training ICCV 2023
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression ACML 2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings NIPS 2023
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models ICML 2023
Structure Flow-Guided Network for Real Depth Super-resolution AAAI 2023
Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022