conftrace_

computational efficiency

362 papers

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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

Rethinking Imbalance in Image Super-Resolution for Efficient Inference NIPS 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024
Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals EMNLP 2024
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing IJCAI 2024
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024
Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware EMNLP 2024
Hybrid Distillation from RBMT and NMT: Helsinki-NLP’s Submission to the Shared Task on Translation into Low-Resource Languages of Spain EMNLP 2024
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract) AAAI 2024
MLP Can Be A Good Transformer Learner CVPR 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Real-Time User-Guided Adaptive Colorization With Vision Transformer WACV 2024
Harder Task Needs More Experts: Dynamic Routing in MoE Models ACL 2024
Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM NAACL 2024
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
R-BASS : Relevance-aided Block-wise Adaptation for Speech Summarization NAACL 2024
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer CVPR 2024
Selective Explanations NIPS 2024
Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection NAACL 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation AAAI 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement CVPR 2024
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NIPS 2024