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Certified Robustness to Programmable Transformations in LSTMs
Deep neural networks for natural language processing are fragile in the ...
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Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Neural image-to-text radiology report generation systems offer the poten...
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Contrastive Learning of Medical Visual Representations from Paired Images and Text
Learning visual representations of medical images is core to medical ima...
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Adwords in a Panorama
Three decades ago, Karp, Vazirani, and Vazirani (STOC 1990) defined the ...
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Do Syntax Trees Help Pre-trained Transformers Extract Information?
Much recent work suggests that incorporating syntax information from dep...
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Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
We introduce biomedical and clinical English model packages for the Stan...
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Fully Online Matching II: Beating Ranking and Water-filling
Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online b...
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Learning Architectures from an Extended Search Space for Language Modeling
Neural architecture search (NAS) has advanced significantly in recent ye...
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Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
We investigate the problem of generating informative questions in inform...
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
We introduce Stanza, an open-source Python natural language processing t...
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Robustness to Programmable String Transformations via Augmented Abstract Training
Deep neural networks for natural language processing tasks are vulnerabl...
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A Simple 1-1/e Approximation for Oblivious Bipartite Matching
We study the oblivious matching problem, which aims at finding a maximum...
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Polylogarithmic Approximation Algorithm for k-Connected Directed Steiner Tree on Quasi-Bipartite Graphs
In the k-Connected Directed Steiner Tree problem (k-DST), we are given a...
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Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Neural abstractive summarization models are able to generate summaries w...
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Perturbed Greedy on Oblivious Matching Problems
We study the maximum matching problem in the oblivious setting, i.e. the...
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Universal Dependency Parsing from Scratch
This paper describes Stanford's system at the CoNLL 2018 UD Shared Task....
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Tight Competitive Ratios of Classic Matching Algorithms in the Fully Online Model
Huang et al. (STOC 2018) introduced the fully online matching problem, a...
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Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Dependency trees help relation extraction models capture long-range rela...
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Learning to Summarize Radiology Findings
The Impression section of a radiology report summarizes crucial radiolog...
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MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Despite being popularly used in many application domains such as image r...
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Online Makespan Minimization: The Power of Restart
We consider the online makespan minimization problem on identical machin...
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Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Despite substantial interest in applications of neural networks to infor...
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Online Vertex-Weighted Bipartite Matching: Beating 1-1/e with Random Arrivals
We introduce a weighted version of the ranking algorithm by Karp et al. ...
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Energy-Efficient Transmission of Hybrid Array with Non-Ideal Power Amplifiers and Circuitry
This paper presents a new approach to efficiently maximizing the energy ...
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How to Match when All Vertices Arrive Online
We introduce a fully online model of maximum cardinality matching in whi...
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Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Motivation: Biomedical named entity recognition (BioNER) is the most fun...
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Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks
In this paper, we propose Mapped Two-way Water Filling (MTWF) scheme to ...
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Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power
In this paper, we maximize the energy efficiency (EE) of full-duplex (FD...
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Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion
The split control and user plane is key to the future heterogeneous cell...
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Energy Efficiency Maximization for CoMP Joint Transmission with Non-Ideal Power Amplifiers
Coordinated multipoint (CoMP) joint transmission (JT) can save a great d...
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Energy-Efficient User Access Control and Resource Allocation in HCNs with Non-Ideal Circuitry
In this paper, we study the energy-efficient user access control (UAC) b...
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Optimal Pilot Symbols Ratio in terms of Spectrum and Energy Efficiency in Uplink CoMP Networks
In wireless networks, Spectrum Efficiency (SE) and Energy Efficiency (EE...
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