Co-occurring keywords · papers mentioning both
Papers
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
AAAI 2023
Demystifying Randomly Initialized Networks for Evaluating Generative Models
AAAI 2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
ICLR 2023
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning
AAAI 2023
Dilated convolution with learnable spacings
ICLR 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
ICCV 2023
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
ICLR 2023
Dual-Domain Attention for Image Deblurring
AAAI 2023
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
AAAI 2023
Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting
WACV 2023
Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation
ICCV 2023
Dynamic Structure Pruning for Compressing CNNs
AAAI 2023
Dysarthric Speech Recognition, Detection and Classification using Raw Phase and Magnitude Spectra
Interspeech 2023
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
ICLR 2023
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs
AAAI 2023
Efficient Activation Function Optimization through Surrogate Modeling
NeurIPS 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
ICML 2023
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
CVPR 2023
Efficient On-Device Training via Gradient Filtering
CVPR 2023
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
MLHC 2023
Efficient Spoken Language Recognition via Multilabel Classification
Interspeech 2023
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
NeurIPS 2023
Empowering Convolutional Neural Nets with MetaSin Activation
NeurIPS 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
ICLR 2023
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution
WACV 2023