conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
model acceleration
model acceleration
80 papers
Explore in graph
Co-occurring keywords
model compression
(3302)
inference acceleration
(244)
efficient computing
(781)
speculative decoding
(111)
neural network optimization
(1293)
large language model
(13587)
inference optimization
(219)
knowledge distillation
(3725)
convolutional neural network
(4226)
diffusion model
(3751)
Papers
MSCFFN: A New FFN with Multi-Space Cross to Accelerate Transformer
EMNLP 2023
RGB No More: Minimally-Decoded JPEG Vision Transformers
CVPR 2023
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention
CVPR 2023
Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination
ACL 2023
A Survey on Efficient Training of Transformers
IJCAI 2023
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model
NAACL 2022
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 2022
PCEE-BERT: Accelerating BERT Inference via Patient and Confident Early Exiting
NAACL 2022
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
CVPR 2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
ACL 2022
Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting
COLING 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
IJCAI 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
IJCAI 2022
FastSeq: Make Sequence Generation Faster
ACL 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit
IJCNLP 2021
Iterative Deep Model Compression and Acceleration in the Frequency Domain
ACML 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
AAAI 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit
ACL 2021
Challenges and Opportunities of Building Fast GBDT Systems
IJCAI 2021
Empowering Adaptive Early-Exit Inference with Latency Awareness
AAAI 2021
Harmonic Lowering for Accelerating Harmonic Convolution for Audio Signals
INTERSPEECH 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
CVPR 2020
Efficient and High-Quality Neural Machine Translation with OpenNMT
ACL 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices
AAAI 2020
Learning Instance-wise Sparsity for Accelerating Deep Models
IJCAI 2019
<
1
2
3
4
>