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Efficient Computing

6,876 papers

Papers per year

Papers

On Joint Learning for Solving Placement and Routing in Chip Design NIPS 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NIPS 2021
Hash Layers For Large Sparse Models NIPS 2021
Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Locality Sensitive Teaching NIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration NIPS 2021
XCiT: Cross-Covariance Image Transformers NIPS 2021
On Large-Cohort Training for Federated Learning NIPS 2021
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement NIPS 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training NIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NIPS 2021
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NIPS 2021
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding NIPS 2021
Efficient Training of Visual Transformers with Small Datasets NIPS 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021