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Efficient Computing

6,898 papers

Papers per year

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11
55
503
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Papers

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NIPS 2020
AdaTune: Adaptive Tensor Program Compilation Made Efficient NIPS 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming NIPS 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Learning Augmented Energy Minimization via Speed Scaling NIPS 2020
Efficient Algorithms for Device Placement of DNN Graph Operators NIPS 2020
Sparse Weight Activation Training NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NIPS 2020
Linear Dynamical Systems as a Core Computational Primitive NIPS 2020
CryptoNAS: Private Inference on a ReLU Budget NIPS 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection NIPS 2020
High-Throughput Synchronous Deep RL NIPS 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis NIPS 2020
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression NIPS 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020
GCN meets GPU: Decoupling “When to Sample” from “How to Sample” NIPS 2020
Experimental design for MRI by greedy policy search NIPS 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
Accelerating Reinforcement Learning through GPU Atari Emulation NIPS 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning NIPS 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NIPS 2020
Position-based Scaled Gradient for Model Quantization and Pruning NIPS 2020
Top-KAST: Top-K Always Sparse Training NIPS 2020
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement NIPS 2020