Learning Randomized Algorithms with Transformersby Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika StegerFirst submitted…
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecastingby Jianxiang Zhou, Erdong Liu, Wei…
Feature Selection from Differentially Private Correlationsby Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward…
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functionsby Jinxin Liu,…
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecastingby Yongbo Yu, Weizhong Yu, Feiping Nie,…
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanismby Guanchen Li, Xiandong Zhao, Lian Liu,…
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailingby Xinlang Yue, Yiran Liu,…
Achieving the Tightest Relaxation of Sigmoids for Formal Verificationby Samuel Chevalier, Duncan Starkenburg, Krishnamurthy DvijothamFirst…
Asymptotic Classification Error for Heavy-Tailed Renewal Processesby Xinhui Rong, Victor SoloFirst submitted to arxiv on:…
Clustering by Mining Density Distributions and Splitting Manifold Structureby Zhichang Xu, Zhiguo Long, Hua MengFirst…