conftrace_

computational efficiency

362 papers

Explore in graph

Co-occurring keywords

model compression (3302) efficient computing (781) large language model (13587) neural network optimization (1293) convolutional neural network (4226) neural network (6616) attention mechanism (4001) vision transformer (1106) transformer architecture (1560) model architecture (324)

Papers

Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023
Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023
Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation ICCV 2023
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
Alternating Updates for Efficient Transformers NIPS 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models EMNLP 2023
Scalable Transformer for PDE Surrogate Modeling NIPS 2023
Split To Learn: Gradient Split for Multi-Task Human Image Analysis WACV 2023
Efficient Skeleton-Based Action Recognition via Joint-Mapping Strategies WACV 2023
DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition ICCV 2023
Polarity Is All You Need to Learn and Transfer Faster ICML 2023
Efficient Diffusion Policies For Offline Reinforcement Learning NIPS 2023
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers ICCV 2023
X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Balanced Training for Sparse GANs NIPS 2023
RWKV: Reinventing RNNs for the Transformer Era EMNLP 2023
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding NIPS 2023
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023
Data Structures for Density Estimation ICML 2023
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer EMNLP 2023