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20162024
most citedA Tensorized Transformer for Language Modeling

98 citations · 251 across the 31 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.DS2019

Minimum Label s-t Cut has Large Integrality Gaps

Peng Zhang, Linqing Tang

Given a graph G=(V,E) with a label set L = {l_1, l_2, ..., l_q}, in which each edge has a label from L, a source s in V, and a sink t in V, the Min Label s-t Cut problem asks to pi…

cs.CV2019★ 2 cited

Explainable Video Action Reasoning via Prior Knowledge and State Transitions

Tao Zhuo, Zhiyong Cheng, Peng Zhang +2

Human action analysis and understanding in videos is an important and challenging task. Although substantial progress has been made in past years, the explainability of existing me…

cs.CV2019

REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing

Peng Zhang, Xinyu Zhu, Zhanzhan Cheng +2

Fine-grained image recognition has been a hot research topic in computer vision due to its various applications. The-state-of-the-art is the part/region-based approaches that first…

cs.CL2019★ 98 cited

A Tensorized Transformer for Language Modeling

Xindian Ma, Peng Zhang, Shuai Zhang +4

Latest development of neural models has connected the encoder and decoder through a self-attention mechanism. In particular, Transformer, which is solely based on self-attention, h…

cs.AI2019★ 1 cited

Using Restart Heuristics to Improve Agent Performance in Angry Birds

Tommy Liu, Jochen Renz, Peng Zhang +1

Over the past few years the Angry Birds AI competition has been held in an attempt to develop intelligent agents that can successfully and efficiently solve levels for the video ga…

cs.LG2019★ 70 cited

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Yang Gao, Hong Yang, Peng Zhang +2

Graph Neural Networks (GNNs) have been popularly used for analyzing non-Euclidean data such as social network data and biological data. Despite their success, the design of graph n…