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Publication search results
found 4,781 matches
- 2019
- Cassidy Laidlaw, Soheil Feizi:
Functional Adversarial Attacks. CoRR abs/1906.00001 (2019) - Bryan O'Gorman:
Parameterization of tensor network contraction. CoRR abs/1906.00013 (2019) - Heinrich Jiang, Maya R. Gupta:
Minimum-Margin Active Learning. CoRR abs/1906.00025 (2019) - Rhys Beckett, Charith Perera:
IoT Skullfort: Exploring the Impact of Internet Connected Cosplay. CoRR abs/1906.00026 (2019) - Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. CoRR abs/1906.00028 (2019) - Elan Rosenfeld, Santosh S. Vempala, Manuel Blum:
Human-Usable Password Schemas: Beyond Information-Theoretic Security. CoRR abs/1906.00029 (2019) - Stefano Cipolla, Carmine Di Fiore, Paolo Zellini:
A variation of Broyden Class methods using Householder adaptive transforms. CoRR abs/1906.00034 (2019) - Stephanie M. Lukin, Claire Bonial, Clare R. Voss:
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. CoRR abs/1906.00038 (2019) - Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir, Marc Moreno Maza, Yuzhen Xie:
On the Parallelization of Triangular Decomposition of Polynomial Systems. CoRR abs/1906.00039 (2019) - Li Deng, Shuo Zhang, Krisztian Balog:
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. CoRR abs/1906.00041 (2019) - Li-yao Xia, Yannick Zakowski, Paul He, Chung-Kil Hur, Gregory Malecha, Benjamin C. Pierce, Steve Zdancewic:
Interaction Trees: Representing Recursive and Impure Programs in Coq (Work In Progress). CoRR abs/1906.00046 (2019) - Colin Cherry, George F. Foster:
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation. CoRR abs/1906.00048 (2019) - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. CoRR abs/1906.00050 (2019) - Amir Behjat, Krushang Gabani, Souma Chowdhury:
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution. CoRR abs/1906.00052 (2019) - FahimeSadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti, Aliakbar Tadaion:
Spectral Efficiency Analysis in Dense Massive MIMO Networks. CoRR abs/1906.00053 (2019) - Martin Klein, Lyudmila Balakireva, Harihar Shankar:
Evaluating Memento Service Optimizations. CoRR abs/1906.00058 (2019) - Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. CoRR abs/1906.00066 (2019) - Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CoRR abs/1906.00067 (2019) - Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. CoRR abs/1906.00072 (2019) - Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing spreads of influence in a social network. CoRR abs/1906.00074 (2019) - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. CoRR abs/1906.00076 (2019) - Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. CoRR abs/1906.00077 (2019) - Dali Wang, Zheng Lu, Zhirong Bao:
Augmenting C. elegans Microscopic Dataset for Accelerated Pattern Recognition. CoRR abs/1906.00078 (2019) - Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. CoRR abs/1906.00080 (2019) - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. CoRR abs/1906.00088 (2019) - Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR abs/1906.00091 (2019) - Anik Chattopadhyay, Arunava Banerjee:
Signal Coding and Perfect Reconstruction using Spike Trains. CoRR abs/1906.00092 (2019) - Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR abs/1906.00093 (2019) - Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh:
Prediction and optimization of mechanical properties of composites using convolutional neural networks. CoRR abs/1906.00094 (2019) - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. CoRR abs/1906.00095 (2019)
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