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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
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression
AAAI 2025
Multi-Branch Self-Drafting for LLM Inference Acceleration
AAAI 2025
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
AAAI 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
ACL 2025
Sample-aware Adaptive Structured Pruning for Large Language Models
AAAI 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
AAAI 2025
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
AAAI 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
AAAI 2025
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
AAAI 2025
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
AAAI 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
AAAI 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
AAAI 2025
Pushing the Limits of BFP on Narrow Precision LLM Inference
AAAI 2025
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
OSDI 2025
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
AAAI 2025
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
OSDI 2025
Channel Merging: Preserving Specialization for Merged Experts
AAAI 2025
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices
AAAI 2025
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
AAAI 2025
FineMem: Breaking the Allocation Overhead vs. Memory Waste Dilemma in Fine-Grained Disaggregated Memory Management
OSDI 2025
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism
AAAI 2025
WaferLLM: Large Language Model Inference at Wafer Scale
OSDI 2025
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness
AAAI 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
AAAI 2025
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