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Efficient Computing

6,876 papers

Papers per year

Papers

Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling NIPS 2021
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs NIPS 2021
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NIPS 2021
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method NIPS 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots NIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning NIPS 2021
Preserved central model for faster bidirectional compression in distributed settings NIPS 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks NIPS 2021
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution NIPS 2021
Speedy Performance Estimation for Neural Architecture Search NIPS 2021
Efficient Training of Retrieval Models using Negative Cache NIPS 2021
Accurately Solving Rod Dynamics with Graph Learning NIPS 2021
Matrix encoding networks for neural combinatorial optimization NIPS 2021
Efficient Equivariant Network NIPS 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NIPS 2021
Dynamic Grained Encoder for Vision Transformers NIPS 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NIPS 2021
Data Sharing and Compression for Cooperative Networked Control NIPS 2021
Searching for Efficient Transformers for Language Modeling NIPS 2021
Sub-Linear Memory: How to Make Performers SLiM NIPS 2021
GemNet: Universal Directional Graph Neural Networks for Molecules NIPS 2021
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning NIPS 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NIPS 2021
Scaling Vision with Sparse Mixture of Experts NIPS 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NIPS 2021