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Efficient Computing

1253 directly classified papers

Papers per year

Papers

You Only Condense Once: Two Rules for Pruning Condensed Datasets NIPS 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition NIPS 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NIPS 2023
DeepPCR: Parallelizing Sequential Operations in Neural Networks NIPS 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences AAAI 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023
Zero-Cost Operation Scoring in Differentiable Architecture Search AAAI 2023
Faster Adaptive Federated Learning AAAI 2023
Dynamic Structure Pruning for Compressing CNNs AAAI 2023
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023
HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023
OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023
Towards Inference Efficient Deep Ensemble Learning AAAI 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training AAAI 2023
DiFA: Differentiable Feature Acquisition AAAI 2023
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks AAAI 2023