Scheduling

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 574 papers with code (3,104 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.

• EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
  9 Feb 2016 9 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In the literature, two types of features are typically used to perform this task: visual features and tool usage signals.
• Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification
  5 Jun 2018 5 repositories listed
  Learning rate scheduler has been a critical issue in the deep neural network training.
• OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
  20 May 2024 4 repositories listed
  However, unlike pretraining or fine-tuning a single model, scaling reinforcement learning from human feedback (RLHF) for training large language models poses coordination challenges across four models.
• A Reinforcement Learning Environment For Job-Shop Scheduling
  8 Apr 2021 4 repositories listed
  Scheduling is a fundamental task occurring in various automated systems applications, e.
• Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
  23 Oct 2020 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Priority dispatching rule (PDR) is widely used for solving real-world Job-shop scheduling problem (JSSP).
• DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
  14 May 2019 4 repositories listed Syntology ran 5 of 22 samples · 17 unverified · 9 pointer-only (licence)
  In this article, we first frame the research problem of optimizing an adaptive and personalized spaced repetition scheduler when memorization concerns the application of underlying multiple skills.
• OmniRouter: Budget and Performance Controllable Multi-LLM Routing
  27 Feb 2025 3 repositories listed
  LLM routing is a crucial paradigm that dynamically selects the most suitable large language models from a pool of candidates to process diverse inputs, ensuring optimal resource utilization while maintaining response…
• Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
  27 Jun 2024 3 repositories listed
  The widespread adoption of large language models (LLMs) has created a pressing need for an efficient, secure and private serving infrastructure, which allows researchers to run open source or custom fine-tuned LLMs and…
• MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
  28 Sep 2022 3 repositories listed
  The cost efficiency of model inference is critical to real-world machine learning (ML) applications, especially for delay-sensitive tasks and resource-limited devices.
• BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
  22 Jun 2021 3 repositories listed
  We describe how the task of rescaling suitable DNN training tasks to fit dynamically changing holes can be formulated as a deterministic mixed integer linear programming (MILP)-based resource allocation algorithm, and…
• Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System
  23 Apr 2020 3 repositories listed
  Taskflow introduces an expressive task graph programming model to assist developers in the implementation of parallel and heterogeneous decomposition strategies on a heterogeneous computing platform.
• Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
  27 Apr 2018 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  This paper introduces Tiramisu, a polyhedral framework designed to generate high performance code for multiple platforms including multicores, GPUs, and distributed machines.
• Key-Value Retrieval Networks for Task-Oriented Dialogue
  15 May 2017 3 repositories listed
  Neural task-oriented dialogue systems often struggle to smoothly interface with a knowledge base.
• Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
  18 Nov 2016 3 repositories listed
  We introduce a hybrid CPU/GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming tasks.
• FlashDMoE: Fast Distributed MoE in a Single Kernel
  5 Jun 2025 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  The computational sparsity of Mixture-of-Experts (MoE) models enables sub-linear growth in compute cost as model size increases, thus offering a scalable path to training massive neural networks.
• Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study
  18 Nov 2024 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Our experimental analysis reveals substantial variations in the distribution of redundancy across diffusion steps among different DiT models.
• One Step Diffusion via Shortcut Models
  16 Oct 2024 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified
  We introduce shortcut models, a family of generative models that use a single network and training phase to produce high-quality samples in a single or multiple sampling steps.
• Agent-Oriented Planning in Multi-Agent Systems
  3 Oct 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Through the collaboration of multiple LLM-empowered agents possessing diverse expertise and tools, multi-agent systems achieve impressive progress in solving real-world problems.
• Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1
  3 Oct 2024 2 repositories listed Syntology ran 8 of 9 samples · 1 unverified
  The ability to plan a course of action that achieves a desired state of affairs has long been considered a core competence of intelligent agents and has been an integral part of AI research since its inception.
• Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
  5 Sep 2024 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  To address these issues, we propose Parallel AutoRegressive Combinatorial Optimization (PARCO), a reinforcement learning framework designed to construct high-quality solutions for multi-agent combinatorial tasks…
• MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
  21 Aug 2024 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified
  As inference on Large Language Models (LLMs) emerges as an important workload in machine learning applications, weight quantization has become a standard technique for efficient GPU deployment.
• Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis
  19 Aug 2024 2 repositories listed
  The use of data collection to support decision making through the reduction of uncertainty is ubiquitous in the management, operation, and design of building energy systems.
• The Road Less Scheduled
  24 May 2024 2 repositories listed
  Existing learning rate schedules that do not require specification of the optimization stopping step T are greatly out-performed by learning rate schedules that depend on T.
• FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
  19 Apr 2024 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 6 pointer-only (licence)
  In this paper, we propose a FLexible And Generalizable RL framework for VNE, named FlagVNE.
• AIOS: LLM Agent Operating System
  25 Mar 2024 2 repositories listed
  This AIOS kernel provides fundamental services (e.
• Fairness in Serving Large Language Models
  31 Dec 2023 2 repositories listed Syntology ran 9 of 13 samples · 4 unverified
  High-demand LLM inference services (e.
• mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
  5 Dec 2023 2 repositories listed
  In this paper, we present mLoRA, a parallelism-efficient fine-tuning system designed for training multiple LoRA across GPUs and machines.
• OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
  24 Nov 2023 2 repositories listed
  Developing high quality machine translation systems is a labour intensive, challenging and confusing process for newcomers to the field.
• DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
  17 Nov 2023 2 repositories listed
  This paper proposes a dynamic micro-batching approach to tackle sequence length variation and enable efficient multi-task model training.
• Games for Artificial Intelligence Research: A Review and Perspectives
  26 Apr 2023 2 repositories listed
  Those platforms provide ideal benchmarks for exploring and comparing artificial intelligence ideas and techniques.

Syntology lines on 13 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.