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Efficient Computing

6,876 papers

Papers per year

Papers

Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021
Multiplying Matrices Without Multiplying ICML 2021
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021
Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ICML 2021
Robust Learning-Augmented Caching: An Experimental Study ICML 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems ICML 2021
Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021
AutoAttend: Automated Attention Representation Search ICML 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ICML 2021
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform ICML 2021
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication ICML 2021
Accurate Post Training Quantization With Small Calibration Sets ICML 2021
In-Database Regression in Input Sparsity Time ICML 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021
DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021