Efficient Computing

Coop: Memory is not a Commodity NeurIPS 2023 CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying AAAI 2023 CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023 DamoFD: Digging into Backbone Design on Face Detection ICLR 2023 DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks NeurIPS 2023 DiFA: Differentiable Feature Acquisition AAAI 2023 Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences AAAI 2023 Diffusion Models Beat GANs on Topology Optimization AAAI 2023 Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones NeurIPS 2023 Dimensionality-Varying Diffusion Process CVPR 2023 DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023 DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models ACL 2023 Dynamic Stashing Quantization for Efficient Transformer Training EMNLP 2023 Dynamic Structure Pruning for Compressing CNNs AAAI 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Efficient Mirror Detection via Multi-Level Heterogeneous Learning AAAI 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention CVPR 2023 Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023 Energy-Efficient Adaptive 3D Sensing CVPR 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023