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Efficient Computing
6876 directly classified 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
Principles and Methodologies for Serial Performance Optimization
OSDI 2025
Structuring Radiology Reports: Challenging LLMs with Lightweight Models
EMNLP 2025
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
ICML 2025
Mirage: A Multi-Level Superoptimizer for Tensor Programs
OSDI 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes
EMNLP 2025
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
AAAI 2025
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
AAAI 2025
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
AAAI 2025
Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion
ICCV 2025
An Efficient Hybrid Vision Transformer for TinyML Applications
ICCV 2025
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
AAAI 2025
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
AAAI 2025
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
AAAI 2025
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
AAAI 2025
Compression-Aware Computing for Scalable and Sustainable AI
AAAI 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
AAAI 2025
A Scalable and Effective Alternative to Graph Transformers
AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
AAAI 2025
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
AAAI 2025
Kernel Learning for Sample Constrained Black-Box Optimization
AAAI 2025
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
AAAI 2025
Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition
AAAI 2025
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