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Efficient Computing

1,579 papers

Papers per year

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Papers

Towards Stable and Robust AdderNets NIPS 2021
Large-Scale Learning with Fourier Features and Tensor Decompositions NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Handling Long-tailed Feature Distribution in AdderNets NIPS 2021
Fast Certified Robust Training with Short Warmup NIPS 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Generic Neural Architecture Search via Regression NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NIPS 2021
Reinforcement Learning with Latent Flow NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
Optimal Sketching for Trace Estimation NIPS 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
Piper: Multidimensional Planner for DNN Parallelization NIPS 2021
Dynamics-regulated kinematic policy for egocentric pose estimation NIPS 2021
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NIPS 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making NIPS 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NIPS 2021
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NIPS 2021
AC-GC: Lossy Activation Compression with Guaranteed Convergence NIPS 2021
Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021