Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systemsby Rui Li, Song…
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimationby Tal Zeevi, Ravid Shwartz-Ziv, Yann…
Efficient user history modeling with amortized inference for deep learning recommendation modelsby Lars Hertel, Neil…
Classifier-free guidance in LLMs Safetyby Roman SmirnovFirst submitted to arxiv on: 8 Dec 2024CategoriesMain: Machine…
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantizationby Dongwei Wang, Huanrui YangFirst…
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Modelsby Neel Jain, Aditya…
Driv3R: Learning Dense 4D Reconstruction for Autonomous Drivingby Xin Fei, Wenzhao Zheng, Yueqi Duan, Wei…
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Acceleratorsby Taesik Gong, Fahim…
Copyright-Protected Language Generation via Adaptive Model Fusionby Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny YangFirst…
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decodingby Yixiong Fang,…