Co-occurring keywords · papers mentioning both
Papers
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
ICLR 2022
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
NeurIPS 2021
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection
ICCV 2021
Finetuning Pretrained Transformers into RNNs
EMNLP 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model
NeurIPS 2021
LiftPool: Bidirectional ConvNet Pooling
ICLR 2021
Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation
CVPR 2021
Mutual Graph Learning for Camouflaged Object Detection
CVPR 2021
Nested Barycentric Coordinate System as an Explicit Feature Map
AISTATS 2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
COLT 2021
On the Universality of the Double Descent Peak in Ridgeless Regression
ICLR 2021
Region Similarity Representation Learning
ICCV 2021
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
ICML 2021
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
AAAI 2020
Convolutional Kernel Networks for Graph-Structured Data
ICML 2020
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
IJCAI 2020
Dynamic Sampling Network for Semantic Segmentation
AAAI 2020
Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks
COLING 2020
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
CVPR 2020
Feature-map-level Online Adversarial Knowledge Distillation
ICML 2020
Feature Statistics Guided Efficient Filter Pruning
IJCAI 2020
GhostNet: More Features From Cheap Operations
CVPR 2020
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study
WACV 2020
HRank: Filter Pruning Using High-Rank Feature Map
CVPR 2020
Improving Object Detection with Inverted Attention
WACV 2020