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Machine Learning
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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers
L4DC 2023
Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI
MIDL 2023
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
MIDL 2023
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer
MLHC 2023
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings
MLHC 2023
Understanding RDMA Microarchitecture Resources for Performance Isolation
NSDI 2023
Transparent GPU Sharing in Container Clouds for Deep Learning Workloads
NSDI 2023
ARK: GPU-driven Code Execution for Distributed Deep Learning
NSDI 2023
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
NSDI 2023
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
NSDI 2023
Remote Procedure Call as a Managed System Service
NSDI 2023
Hermit: Low-Latency, High-Throughput, and Transparent Remote Memory via Feedback-Directed Asynchrony
NSDI 2023
Rearchitecting the TCP Stack for I/O-Offloaded Content Delivery
NSDI 2023
Scalable Distributed Massive MIMO Baseband Processing
NSDI 2023
DChannel: Accelerating Mobile Applications With Parallel High-bandwidth and Low-latency Channels
NSDI 2023
SkyPilot: An Intercloud Broker for Sky Computing
NSDI 2023
OneWAN is better than two: Unifying a split WAN architecture
NSDI 2023
xBGP: Faster Innovation in Routing Protocols
NSDI 2023
Practical Intent-driven Routing Configuration Synthesis
NSDI 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
NSDI 2023
ModelKeeper: Accelerating DNN Training via Automated Training Warmup
NSDI 2023
SHEPHERD: Serving DNNs in the Wild
NSDI 2023
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE
NSDI 2023
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
NSDI 2023
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
NSDI 2023
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