conftrace_

efficient computing

781 papers

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EC

Co-occurring keywords

model compression (3302) convolutional neural network (4226) neural network optimization (1293) large language model (13587) attention mechanism (4001) vision transformer (1106) neural network (6616) knowledge distillation (3725) neural architecture search (666) transformer architecture (1560)

Papers

Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos CVPR 2023
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception ICCV 2023
Achievement-Based Training Progress Balancing for Multi-Task Learning ICCV 2023
Plug-and-Play Document Modules for Pre-trained Models ACL 2023
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Learning Language-Specific Layers for Multilingual Machine Translation ACL 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
A Survey for Efficient Open Domain Question Answering ACL 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement AAAI 2023
A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching AAAI 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks CVPR 2023
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers CVPR 2023
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023
RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer ICML 2023
LookupFFN: Making Transformers Compute-lite for CPU inference ICML 2023