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Efficient Computing

596 directly classified papers

Papers per year

Papers

LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing ACL 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model JMLR 2023
Fast Inference from Transformers via Speculative Decoding ICML 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture IJCAI 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023
Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy AAAI 2023
Flowformer: Linearizing Transformers with Conservation Flows ICML 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022
Iterative Stratified Testing and Measurement for Automated Model Updates EMNLP 2022
Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions AAAI 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022
Reinforcement Learning for Datacenter Congestion Control AAAI 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NIPS 2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks ICML 2022