conftrace_

efficient computing

781 papers

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EC

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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

Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model EMNLP 2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023
Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors CVPR 2023
nanoT5: Fast & Simple Pre-training and Fine-tuning of T5 Models with Limited Resources EMNLP 2023
Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving CVPR 2023
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention CVPR 2023
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration CVPR 2023
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark CVPR 2023
Making Vision Transformers Efficient From a Token Sparsification View CVPR 2023
FFCV: Accelerating Training by Removing Data Bottlenecks CVPR 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023
CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023
Towards Efficient and Accurate Winograd Convolution via Full Quantization NIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks NIPS 2023
Multiplication-Free Transformer Training via Piecewise Affine Operations NIPS 2023
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NIPS 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens NIPS 2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds NIPS 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer NIPS 2023
Training Transformers with 4-bit Integers NIPS 2023
Mask Propagation for Efficient Video Semantic Segmentation NIPS 2023
BiMatting: Efficient Video Matting via Binarization NIPS 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NIPS 2023
Efficient NLP Model Finetuning via Multistage Data Filtering IJCAI 2023