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Publication search results
found 2,471 matches
- 2017
- Constantinos Daskalakis, Gautam Kamath, John Wright:
Which Distribution Distances are Sublinearly Testable? CoRR abs/1708.00002 (2017) - Gian Giacomo Guerreschi, Jongsoo Park:
Gate scheduling for quantum algorithms. CoRR abs/1708.00023 (2017) - Vladimir A. Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'Mello, Alexander A. Moskovsky, Mark S. Gordon:
An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor. CoRR abs/1708.00033 (2017) - Zhenheng Yang, Jiyang Gao, Ram Nevatia:
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation. CoRR abs/1708.00042 (2017) - Shuchi Chawla, J. Benjamin Miller, Dimitris Paparas, Yifeng Teng:
Pricing for Online Resource Allocation: Beyond Subadditive Values. CoRR abs/1708.00043 (2017) - Rudrasis Chakraborty, Baba C. Vemuri:
Statistics on the (compact) Stiefel manifold: Theory and Applications. CoRR abs/1708.00045 (2017) - Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler:
Interpretable Active Learning. CoRR abs/1708.00049 (2017) - Chaim Baskin, Natan Liss, Avi Mendelson, Evgenii Zheltonozhskii:
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. CoRR abs/1708.00052 (2017) - Daniel M. Cer, Mona T. Diab, Eneko Agirre, Iñigo Lopez-Gazpio, Lucia Specia:
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation. CoRR abs/1708.00055 (2017) - Min Ye, Alexander Barg:
Asymptotically optimal private estimation under mean square loss. CoRR abs/1708.00059 (2017) - Yang Li, Nan Du, Samy Bengio:
Time-Dependent Representation for Neural Event Sequence Prediction. CoRR abs/1708.00065 (2017) - Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan:
Learning Robust Representations for Computer Vision. CoRR abs/1708.00069 (2017) - Tobias Kappé, Farhad Arbab, Carolyn L. Talcott:
A Component-oriented Framework for Autonomous Agents. CoRR abs/1708.00072 (2017) - Elad Hazan, Karan Singh, Cyril Zhang:
Efficient Regret Minimization in Non-Convex Games. CoRR abs/1708.00075 (2017) - Kami Vaniea, Ella Tallyn, Chris Speed:
Capturing the Connections: Unboxing Internet of Things Devices. CoRR abs/1708.00076 (2017) - Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov:
Bayesian Sparsification of Recurrent Neural Networks. CoRR abs/1708.00077 (2017) - Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection. CoRR abs/1708.00079 (2017) - Vishnu V. Ratnam, Andreas F. Molisch, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos:
Hybrid Beamforming with Selection for Multi-user Massive MIMO Systems. CoRR abs/1708.00083 (2017) - Marlon David González-Ramírez, Christian Nwachioma, Adenike Grace Adepoju, Aanuoluwapo Raphael Obasuyi, Babatunde James Falaye:
Quantum wireless multihop teleportation via 4-qubit cluster state. CoRR abs/1708.00087 (2017) - Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. CoRR abs/1708.00088 (2017) - Kyle Richardson, Sina Zarrieß, Jonas Kuhn:
The Code2Text Challenge: Text Generation in Source Code Libraries. CoRR abs/1708.00098 (2017) - Lucas Lehnert, Stefanie Tellex, Michael L. Littman:
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning. CoRR abs/1708.00102 (2017) - Guilin Liu, Duygu Ceylan, Ersin Yumer, Jimei Yang, Jyh-Ming Lien:
Material Editing Using a Physically Based Rendering Network. CoRR abs/1708.00106 (2017) - Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. CoRR abs/1708.00107 (2017) - Régis Riveret, Pietro Baroni, Yang Gao, Guido Governatori, Antonino Rotolo, Giovanni Sartor:
A Labelling Framework for Probabilistic Argumentation. CoRR abs/1708.00109 (2017) - Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR abs/1708.00111 (2017) - Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts:
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. CoRR abs/1708.00112 (2017) - J. Ruebeck, Ryan G. James, John R. Mahoney, James P. Crutchfield:
Prediction and Generation of Binary Markov Processes: Can a Finite-State Fox Catch a Markov Mouse? CoRR abs/1708.00113 (2017) - Andre Xian Ming Chang, Aliasger Zaidy, Vinayak Gokhale, Eugenio Culurciello:
Compiling Deep Learning Models for Custom Hardware Accelerators. CoRR abs/1708.00117 (2017) - Mahdi Jamei, Anna Scaglione, Ciaran M. Roberts, Emma M. Stewart, Sean Peisert, Chuck McParland, Alex McEachern:
Anomaly Detection Using Optimally-Placed Micro-PMU Sensors in Distribution Grids. CoRR abs/1708.00118 (2017)
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