Management
1207 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Management
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BIG-bench
Most implemented papers
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
They are, along with a number of recently reviewed or published portfolio-selection strategies, examined in three back-test experiments with a trading period of 30 minutes in a cryptocurrency market.
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
lehaifeng/T-GCN
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However, traffic forecasting has always been considered an open scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time, namely, spatial dependence and temporal dependence.
The Case for Learned Index Structures
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not.
Leveraging BERT for Extractive Text Summarization on Lectures
This paper reports on the project called Lecture Summarization Service, a python based RESTful service that utilizes the BERT model for text embeddings and KMeans clustering to identify sentences closes to the centroid for summary selection.
Efficient Memory Management for Large Language Model Serving with PagedAttention
On top of it, we build vLLM, an LLM serving system that achieves (1) near-zero waste in KV cache memory and (2) flexible sharing of KV cache within and across requests to further reduce memory usage.
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
In this study, we present a severity score prediction model for COVID-19 pneumonia for frontal chest X-ray images.
COVID-19 Image Data Collection: Prospective Predictions Are the Future
ieee8023/covid-chestxray-dataset
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This dataset currently contains hundreds of frontal view X-rays and is the largest public resource for COVID-19 image and prognostic data, making it a necessary resource to develop and evaluate tools to aid in the treatment of COVID-19.
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
uctb/uctb
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The aggregation is further combined with external factors, such as weather and day of the week, to predict the final traffic of crowds in each and every region.
Adversarial Deep Reinforcement Learning in Portfolio Management
deepcrypto/Reinforcement-learning-in-portfolio-management-
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In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
Deep Reinforcement Learning
google/dopamine
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We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.
