Papers
Improving Semantic Composition with Offset Inference
Thomas Kober, Julie Weeds, Jeremy Reffin et al.
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma, Xu Sun, Jingjing Xu et al.
Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le, Ander Martinez, Akifumi Yoshimoto et al.
Improving Slip Prediction on Mars Using Thermal Inertia Measurements
Christopher Cunningham, Issa Nesnas, William Whittaker
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Lifu Huang, Avirup Sil, Heng Ji et al.
Improving Source Separation via Multi-Speaker Representations
Jeroen Zegers, Hugo Van hamme
Improving Speaker-Independent Lipreading with Domain-Adversarial Training
Michael Wand, Jürgen Schmidhuber
Improving Speaker Verification for Reverberant Conditions with Deep Neural Network Dereverberation Processing
Peter Guzewich, Stephen A. Zahorian
Improving Speaker Verification Performance in Presence of Spoofing Attacks Using Out-of-Domain Spoofed Data
Achintya Kr. Sarkar, Md. Sahidullah, Zheng-Hua Tan et al.
Improving Speech Intelligibility in Binaural Hearing Aids by Estimating a Time-Frequency Mask with a Weighted Least Squares Classifier
David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera
Improving Speech Recognition by Revising Gated Recurrent Units
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo et al.
Improving Speech Recognizers by Refining Broadcast Data with Inaccurate Subtitle Timestamps
Jeong-Uk Bang, Mu-Yeol Choi, Sang-Hun Kim et al.
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic
Maoying Qiao, Jun Yu, Wei Bian et al.
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
Po-Wei Chou, Daniel Maturana, Sebastian Scherer
Improving Sub-Phone Modeling for Better Native Language Identification with Non-Native English Speech
Yao Qian, Keelan Evanini, Xinhao Wang et al.
Improving the Effectiveness of Speaker Verification Domain Adaptation with Inadequate In-Domain Data
Bengt J. Borgström, Elliot Singer, Douglas Reynolds et al.
Improving the Expected Improvement Algorithm
Chao Qin, Diego Klabjan, Daniel Russo
Improving the Generalization Performance of Multi-class SVM via Angular Regularization
Jianxin Li, Haoyi Zhou, Pengtao Xie et al.
Improving Training of Deep Neural Networks via Singular Value Bounding
Kui Jia, Dacheng Tao, Shenghua Gao et al.
Improving User Perceived Page Load Times Using Gaze
Conor Kelton, Jihoon Ryoo, Aruna Balasubramanian et al.
Improving Variational Methods via Pairwise Linear Response Identities
Jack Raymond, Federico Ricci-Tersenghi
Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms
Arturs Backurs, Christos Tzamos
Inapproximability of VC Dimension and Littlestone’s Dimension
Pasin Manurangsi, Aviad Rubinstein
Incomplete Attribute Learning with auxiliary labels
Kongming Liang, Yuhong Guo, Hong Chang et al.