ZACK: Zero-Overhead LLM Inference Acceleration via Dimensionality Compression of the Key-Value Cacheby Zeyu Zhang, Haiying…
Bi-Level Spatial and Channel-aware Transformer for Learned Image Compressionby Hamidreza Soltani, Erfan GhasemiFirst submitted to…
Unsupervised Representation Learning by Balanced Self Attention Matchingby Daniel Shalam, Simon KormanFirst submitted to arxiv…
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networksby Daniel…
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attentionby Susung HongFirst submitted…
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learningby Yu Feng, Zhen Tian, Yifan Zhu, Zongfu…
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attentionby Pouya Shaeri, Ali…
EllipBench: A Large-scale Benchmark for Machine-learning based Ellipsometry Modelingby Yiming Ma, Xinjie Li, Xin Sun,…
Context-aware knowledge graph framework for traffic speed forecasting using graph neural networkby Yatao Zhang, Yi…
A deeper look at depth pruning of LLMsby Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich,…