Management

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,214 papers with code (8,144 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
  30 Jun 2017 30 repositories listed
  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
  12 Nov 2018 10 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  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…
• Leveraging BERT for Extractive Text Summarization on Lectures
  7 Jun 2019 8 repositories listed
  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…
• The Case for Learned Index Structures
  4 Dec 2017 8 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 2 pointer-only (licence)
  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…
• Efficient Memory Management for Large Language Model Serving with PagedAttention
  12 Sep 2023 7 repositories listed Syntology ran 25 of 36 samples · 11 unverified
  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.
• COVID-19 Image Data Collection: Prospective Predictions Are the Future
  22 Jun 2020 6 repositories listed
  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…
• Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
  24 May 2020 6 repositories listed
  In this study, we present a severity score prediction model for COVID-19 pneumonia for frontal chest X-ray images.
• PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
  15 Apr 2021 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing.
• The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
  24 Apr 2020 5 repositories listed
  Appropriate and timely deployment of disease management depends on early disease detection.
• Deep Reinforcement Learning
  15 Oct 2018 5 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.
• Adversarial Deep Reinforcement Learning in Portfolio Management
  29 Aug 2018 5 repositories listed
  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 Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
  1 Oct 2016 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  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.
• RMM: Reinforced Memory Management for Class-Incremental Learning
  14 Jan 2023 4 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Class-Incremental Learning (CIL) [40] trains classifiers under a strict memory budget: in each incremental phase, learning is done for new data, most of which is abandoned to free space for the next phase.
• Good Intentions: Adaptive Parameter Management via Intent Signaling
  1 Jun 2022 4 repositories listed
  Parameter management is essential for distributed training of large machine learning (ML) tasks.
• A Distributed Artificial Intelligence Framework to Evolve Infrastructure Resilience in Telecommunications Sector
  5 Mar 2021 4 repositories listed
  The paper’s main focus is on two main purposes, the first one is the to propose a mechanism for enhancing resilience in telecom infrastructure, while the second purpose is to quantify the financial value to achieve this…
• CORD-19: The COVID-19 Open Research Dataset
  22 Apr 2020 4 repositories listed
  The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
• A CNN-RNN Framework for Crop Yield Prediction
  20 Nov 2019 4 repositories listed
  Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.
• LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
  23 Aug 2018 4 repositories listed
  In this work, we introduce LIFT, an end-to-end software stack for applying deep reinforcement learning to data management tasks.
• Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
  13 Feb 2018 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Deep learning models with convolutional and recurrent networks are now ubiquitous and analyze massive amounts of audio, image, video, text and graph data, with applications in automatic translation, speech-to-text,…
• Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
  14 Mar 2025 3 repositories listed
  Autonomous LLM-based agents have emerged as a powerful paradigm for complex task execution, yet the field lacks standardized tools for development, deployment, distribution and discovery of agents.
• Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  13 Dec 2024 3 repositories listed Syntology ran 3 of 6 samples · 3 unverified
  From the spatial data management perspective, we present a novel Transformer framework called PatchSTG to efficiently and dynamically model spatial dependencies for large-scale traffic forecasting with interpretability…
• DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
  2 Sep 2024 3 repositories listed
  Through extensive experimental analysis, we identified three key challenges in designing effective data management strategies that enable the model to achieve long-context capability without sacrificing performance in…
• ShennongAlpha: an AI-driven sharing and collaboration platform for intelligent curation, acquisition, and translation of natural medicinal material knowledge
  27 Dec 2023 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Natural Medicinal Materials (NMMs) have a long history of global clinical applications and a wealth of records and knowledge.
• RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
  29 Jun 2023 3 repositories listed Syntology ran 0 of 16 samples · 16 unverified · 3 pointer-only (licence)
  To fill this gap, we introduce RL4CO, a unified and extensive benchmark with in-depth library coverage of 23 state-of-the-art methods and more than 20 CO problems.
• Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on Wikipedia
  3 Oct 2022 3 repositories listed
  In this paper, we present the first corpus of Web tables created specifically out of Russian language material.
• M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
  23 Mar 2022 3 repositories listed
  The platform features a fully modular video sentiment analysis framework consisting of data management, feature extraction, model training, and result analysis modules.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
  29 Sep 2021 3 repositories listed
  Accurate prediction of the future given the past based on time series data is of paramount importance, since it opens the door for decision making and risk management ahead of time.
• An Empirical Study of Graph Contrastive Learning
  2 Sep 2021 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  We envision this work to provide useful empirical evidence of effective GCL algorithms and offer several insights for future research.
• Strong Optimal Classification Trees
  29 Mar 2021 3 repositories listed
  To fill this gap in the literature, we propose an intuitive flow-based MIO formulation for learning optimal binary classification trees.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.