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Efficient Computing

1253 directly classified papers

Papers per year

Papers

Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NIPS 2022
Graph Reordering for Cache-Efficient Near Neighbor Search NIPS 2022
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads JMLR 2021
EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks IJCAI 2021
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion CVPR 2021
DeRF: Decomposed Radiance Fields CVPR 2021
AC-GC: Lossy Activation Compression with Guaranteed Convergence NIPS 2021
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NIPS 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making NIPS 2021
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NIPS 2021
Piper: Multidimensional Planner for DNN Parallelization NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021
Optimal Sketching for Trace Estimation NIPS 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021
Reinforcement Learning with Latent Flow NIPS 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NIPS 2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021
FastSeq: Make Sequence Generation Faster ACL 2021
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ACL 2021