Computational Efficiency

837 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Rethinking the Inception Architecture for Computer Vision

tensorflow/models CVPR 2016

Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.

Attention U-Net: Learning Where to Look for the Pancreas

ozan-oktay/Attention-Gated-Networks 11 Apr 2018

We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

openvinotoolkit/anomalib 25 Mar 2023

We train a student network to predict the extracted features of normal, i. e., anomaly-free training images.

Simple random search provides a competitive approach to reinforcement learning

modestyachts/ARS 19 Mar 2018

A common belief in model-free reinforcement learning is that methods based on random search in the parameter space of policies exhibit significantly worse sample complexity than those that explore the space of actions.

Efficient Neural Network Robustness Certification with General Activation Functions

huanzhang12/CROWN-Robustness-Certification NeurIPS 2018

Finding minimum distortion of adversarial examples and thus certifying robustness in neural network classifiers for given data points is known to be a challenging problem.

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

MIT-SPARK/Kimera 6 Oct 2019

We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).

PP-OCR: A Practical Ultra Lightweight OCR System

PaddlePaddle/PaddleOCR 21 Sep 2020

Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17. 9M images are used).

Resurrecting Recurrent Neural Networks for Long Sequences

bojone/rnn 11 Mar 2023

Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train.

Scalable Bayesian Rule Lists

csinva/imodels ICML 2017

They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree.

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

hmgoforth/PointNetLK CVPR 2019

To date, the successful application of PointNet to point cloud registration has remained elusive.