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Efficient Computing

6,876 papers

Papers per year

Papers

NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis NIPS 2022
A Fast Post-Training Pruning Framework for Transformers NIPS 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models NIPS 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions NIPS 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost NIPS 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction NIPS 2022
FourierNets enable the design of highly non-local optical encoders for computational imaging NIPS 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems NIPS 2022
Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution NIPS 2022
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning NIPS 2022
Elucidating the Design Space of Diffusion-Based Generative Models NIPS 2022
TREC: Transient Redundancy Elimination-based Convolution NIPS 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NIPS 2022
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation NIPS 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers NIPS 2022
Is Integer Arithmetic Enough for Deep Learning Training? NIPS 2022
Parameter-free Dynamic Graph Embedding for Link Prediction NIPS 2022
Improving Transformer with an Admixture of Attention Heads NIPS 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies NIPS 2022
LIPS - Learning Industrial Physical Simulation benchmark suite NIPS 2022
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design NIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NIPS 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NIPS 2022
A Theoretical View on Sparsely Activated Networks NIPS 2022
Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022