memory efficiency

Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation ICCV 2021 Training Graph Neural Networks with 1000 Layers ICML 2021 Adaptive Compression of Word Embeddings ACL 2020 And the Bit Goes Down: Revisiting the Quantization of Neural Networks ICLR 2020 Blockwise Self-Attention for Long Document Understanding EMNLP 2020 Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020 Extreme Tensoring for Low-Memory Preconditioning ICLR 2020 Going Deeper With Lean Point Networks CVPR 2020 Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection CVPR 2020 Local Binary Pattern Networks WACV 2020 MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions WACV 2020 Reformer: The Efficient Transformer ICLR 2020 RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference NeurIPS 2020 RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020 Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks ICLR 2020 SMYRF - Efficient Attention using Asymmetric Clustering NeurIPS 2020 Sparse Sinkhorn Attention ICML 2020 Sparse Weight Activation Training NeurIPS 2020 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NeurIPS 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020 word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement ICLR 2020 A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation NeurIPS 2019 Backprop with Approximate Activations for Memory-efficient Network Training NeurIPS 2019 Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization ICCV 2019