Papers
Detecting Syntactic Change Using a Neural Part-of-Speech Tagger
William Merrill, Gigi Stark, Robert Frank
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, Krishna Nakka, Pascal Fua et al.
Detecting Topic-Oriented Speaker Stance in Conversational Speech
Catherine Lai, Beatrice Alex, Johanna D. Moore et al.
Detecting Unseen Visual Relations Using Analogies
Julia Peyre, Ivan Laptev, Cordelia Schmid et al.
Detection and Recovery of OOVs for Improved English Broadcast News Captioning
Samuel Thomas, Kartik Audhkhasi, Zoltán Tüske et al.
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
Jiayang Liu, Weiming Zhang, Yiwei Zhang et al.
Detection of Abusive Language: the Problem of Biased Datasets
Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings
Segun Taofeek Aroyehun, Alexander Gelbukh
Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo
Sarah Sarabadani
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks
Mohit Goyal, Varun Srivastava, Prathosh A.P.
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet, Jordan Ellenberg
Detection of Propaganda Using Logistic Regression
Jinfen Li, Zhihao Ye, Lu Xiao
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang et al.
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann, Andre Araujo, Menglong Zhu et al.
DETER: Deterministic TCP Replay for Performance Diagnosis
Yuliang Li, Rui Miao, Mohammad Alizadeh et al.
Determinantal Point Processes for Coresets
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Reinforcement Learning
Takayuki Osogami, Rudy Raymond
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
Esin Durmus, Faisal Ladhak, Claire Cardie
Determining Solvability in the Birds of a Feather Card Game
Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson et al.
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
Chengchun Shi, Wenbin Lu, Rui Song
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan, Zico Kolter
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents
Ritesh Sarkhel, Arnab Nandi
Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu, Sebastian Nowozin, Edward Meeds et al.
DetNAS: Backbone Search for Object Detection
Yukang Chen, Tong Yang, Xiangyu Zhang et al.
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput, Hongyi Wang, Zachary Charles et al.