1.2k citations · 2.7k across the 27 of their papers we have counts for
7 papers · 1 filter
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task
Nan Ding, Sebastian Goodman, Fei Sha +1
We introduce a new multi-modal task for computer systems, posed as a combined vision-language comprehension challenge: identifying the most suitable text describing a scene, given…
Multilingual Word Embeddings using Multigraphs
Radu Soricut, Nan Ding
We present a family of neural-network--inspired models for computing continuous word representations, specifically designed to exploit both monolingual and multilingual text. This…
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
Radu Soricut, Nan Ding
We present a dual contribution to the task of machine reading-comprehension: a technique for creating large-sized machine-comprehension (MC) datasets using paragraph-vector models;…
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding, Lawrence Carin
Recent advances in Bayesian learning with large-scale data have witnessed emergence of stochastic gradient MCMC algorithms (SG-MCMC), such as stochastic gradient Langevin dynamics…
Stochastic Gradient MCMC with Stale Gradients
Changyou Chen, Nan Ding, Chunyuan Li +2
Stochastic gradient MCMC (SG-MCMC) has played an important role in large-scale Bayesian learning, with well-developed theoretical convergence properties. In such applications of SG…
Characterizing Quantum Supremacy in Near-Term Devices
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy +6
A critical question for the field of quantum computing in the near future is whether quantum devices without error correction can perform a well-defined computational task beyond t…
What is the Computational Value of Finite Range Tunneling?
Vasil S. Denchev, Sergio Boixo, Sergei V. Isakov +5
Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic exploiting tunneling. Here, we demonstrate how finite range tunneling can provide considerable…