conftrace_

task scheduling

19 papers

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Co-occurring keywords

multi-task learning (2575) load balancing (55) network latency (5) job completion time (12) neural network (6616) bi-level optimization (149) reinforcement learning (4352) deep reinforcement learning (903) resource placement (1) data analytics (5)

Papers

Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution AAAI 2026
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents ACL 2026
SpiderFlow: Efficient Topology-Aware Scheduling for LLM Training Across Decentralized GPU Clusters ACL 2026
Preventing Network Bottlenecks: Accelerating Datacenter Services with Hotspot-Aware Placement for Compute and Storage NSDI 2025
COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation EMNLP 2025
Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024
Meta-Learning with Neural Bandit Scheduler NIPS 2023
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) IJCAI 2023
Auxiliary Learning with Joint Task and Data Scheduling ICML 2022
Efficient Scheduling Policies for Microsecond-Scale Tasks NSDI 2022
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022
Temporally Correlated Task Scheduling for Sequence Learning ICML 2021
Caerus: NIMBLE Task Scheduling for Serverless Analytics NSDI 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
Sol: Fast Distributed Computation Over Slow Networks NSDI 2020
Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020
Hydra: a federated resource manager for data-center scale analytics NSDI 2019
CLARINET: WAN-Aware Optimization for Analytics Queries OSDI 2016