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ORCIDCoRR, October 2019
- Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. - Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. - Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. - Laltu Sardar, Sushmita Ruj:
FSPVDsse: A Forward Secure Publicly Verifiable Dynamic SSE scheme. - Parham Gohari, Bo Wu, Matthew T. Hale, Ufuk Topcu:
The Dirichlet Mechanism for Differential Privacy on the Unit Simplex. - Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha:
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. - Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata:
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars. - Jie Gao, Terrence Wong, Chun Wang, Jia Yuan Yu:
A Price-Based Iterative Double Auction for Charger Sharing Markets. - Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. - Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan:
POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting. - Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi:
Synthesizing Action Sequences for Modifying Model Decisions. - Po-Yao Huang, Xiaojun Chang
, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. - Georgi Nalbantov, Svetoslav Ivanov:
Tutorial on Implied Posterior Probability for SVMs. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations. - Shawkat Sabah Khairullah:
A Self-Healing Hardware Architecture for Safety-Critical Digital Embedded Devices. - Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. - Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga:
MIOpen: An Open Source Library For Deep Learning Primitives. - Nitant Upasani, Krishnendra Shekhawat, Garv Sachdeva:
Automated Generation of Dimensioned Rectangular Floorplans. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. - Hailiang Liu, Peimeng Yin:
A mixed discontinuous Galerkin method without interior penalty for time-dependent fourth order problems. - Longsheng Jiang, Yue Wang:
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model. - Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. - Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson:
Deep Coordination Graphs. - Jiayi Zhang, Emil Björnson, Michail Matthaiou, Derrick Wing Kwan Ng, Hong Yang, David J. Love:
Multiple Antenna Technologies for Beyond 5G. - Felix Grimminger, Avadesh Meduri, Majid Khadiv, Julian Viereck, Manuel Wüthrich, Maximilien Naveau, Vincent Berenz, Steve Heim, Felix Widmaier, Jonathan Fiene, Alexander Badri-Spröwitz, Ludovic Righetti:
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research. - Thomas Brihaye, Gilles Geeraerts, Marion Hallet, Benjamin Monmege, Bruno Quoitin:
Dynamics on Games: Simulation-Based Techniques and Applications to Routing. - Mir Muntasir Hossain, Satyendra N. Biswas:
Analysis and Design of a 32nm FinFET Dynamic Latch Comparator. - Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. - Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. - Maymoonah Toubeh, Pratap Tokekar:
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception. - Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Cross Domain Imitation Learning. - Joe T. Rexwinkle, Gregory Lieberman, Matthew Jaswa, Brent J. Lance:
Development of a Game with a Purpose for Acquisition of Brain-Computer Interface Data. - Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. - Zlatko Drmac, Benjamin Peherstorfer:
Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation. - Andrew J. Lohn:
Defense in Depth: The Basics of Blockade and Delay. - Yuanlu Xu, Song-Chun Zhu, Tony Tung:
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. - Dimitri P. Bertsekas:
Multiagent Rollout Algorithms and Reinforcement Learning. - Christian Beck, Arnulf Jentzen, Benno Kuckuck:
Full error analysis for the training of deep neural networks. - Katarzyna Kozdon, Peter J. Bentley:
Normalisation of Weights and Firing Rates in Spiking Neural Networks with Spike-Timing-Dependent Plasticity. - Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. - Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. - Toby Walsh:
SAT vs CSP: a commentary. - Jonathon Luiten, Tobias Fischer, Bastian Leibe:
Track to Reconstruct and Reconstruct to Track. - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. - Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann:
Optimizing GPU Cache Policies for MI Workloads. - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Impartial Selection with Additive Approximation Guarantees. - Victor Bogdan, Cosmin Bonchis, Ciprian Orhei:
Custom Extended Sobel Filters. - Pooya Moradi, Nishant Kambhatla, Anoop Sarkar:
Interrogating the Explanatory Power of Attention in Neural Machine Translation. - Hailiang Liu, Wumaier Maimaitiyiming:
Positive and free energy satisfying schemes for diffusion with interaction potentials. - Xiwei Liu, Zihan Li:
Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays. - Matteo Varvello, Iñigo Querejeta-Azurmendi, Antonio Nappa, Panagiotis Papadopoulos, Goncalo Pestana, Benjamin Livshits:
VPN0: A Privacy-Preserving Decentralized Virtual Private Network. - Ahmed Nasrallah, Venkatraman Balasubramanian, Akhilesh S. Thyagaturu, Martin Reisslein, Hesham Elbakoury:
Large Scale Deterministic Networking: A Simulation Evaluation. - Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck. - Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas:
Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. - Hailiang Liu, Peimeng Yin:
Unconditionally energy stable DG schemes for the Swift-Hohenberg equation. - Luke Merrick:
Randomized Ablation Feature Importance. - Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine:
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. - Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha:
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques. - Arman Karimian, Roberto Tron:
Bearing-Only Consensus and Formation Control under Directed Topologies. - Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. - Hudson Borges, Rodrigo Brito, Marco Túlio Valente:
Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions. - Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. - Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. - Sam Ganzfried, Conner Laughlin, Charles Morefield:
Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning. - Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan:
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations. - Mingwei Wei, David J. Schwab:
How noise affects the Hessian spectrum in overparameterized neural networks. - Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim:
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation. - Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen:
Underwhelming Generalization Improvements From Controlling Feature Attribution. - Yunhao Ba, Guangyuan Zhao, Achuta Kadambi:
Blending Diverse Physical Priors with Neural Networks. - Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Analyzing Sentence Fusion in Abstractive Summarization. - Ehsan Amid, Manfred K. Warmuth:
TriMap: Large-scale Dimensionality Reduction Using Triplets. - Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff:
Optimal Age-Energy Trade-off via Sleep-Wake Scheduling. - Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. - Jan Laukemann, Julian Hammer, Georg Hager, Gerhard Wellein:
Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels. - Neri Merhav:
Noisy Guesses. - Akihiro Nakamura, Tatsuya Harada:
Revisiting Fine-tuning for Few-shot Learning. - Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium with Inertia in Population Games. - James Demmel, Laura Grigori, Alexander Rusciano:
An improved analysis and unified perspective on deterministic and randomized low rank matrix approximations. - Sam Ganzfried:
Mistakes in Games. - Leo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato:
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. - Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. - Krishnendu Chatterjee, Bhavya Choudhary, Andreas Pavlogiannis:
Optimal Dyck Reachability for Data-Dependence and Alias Analysis. - Weiyu Chen, Haiyang Ding, Shilian Wang, Daniel Benevides da Costa, Fengkui Gong:
Impartial SWIPT-Assisted User Cooperation Schemes. - Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph using Probability Models. - Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. - Helge Spieker, Arnaud Gotlieb:
Adaptive Metamorphic Testing with Contextual Bandits. - Daniel Greenfeld, Uri Shalit:
Robust learning with the Hilbert-Schmidt independence criterion. - He Li, James J. Davis, John Wickerson, George A. Constantinides:
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute. - Jeroen Van Hautte, Guy Emerson, Marek Rei:
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models. - Matthias Bentert, René van Bevern, Till Fluschnik, André Nichterlein, Rolf Niedermeier:
Polynomial-Time Preprocessing for Weighted Problems Beyond Additive Goal Functions. - Richard Gerum:
pylustrator: Code generation for reproducible figures for publication. - Arslan Ashraf, Abdul Aziz, Umme Zahoora, Asifullah Khan:
Ransomware Analysis using Feature Engineering and Deep Neural Networks. - Attila Szabó, Givi Meishvili, Paolo Favaro:
Unsupervised Generative 3D Shape Learning from Natural Images. - Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. - Florian Schmidt:
Generalization in Generation: A closer look at Exposure Bias. - César Prouté, Bruno Yun, Madalina Croitoru:
Distance-Based Approaches to Repair Semantics in Ontology-based Data Access. - Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? - Loris Nanni, Gianluca Maguolo, Fabio Pancino:
Research on insect pest image detection and recognition based on bio-inspired methods. - Sridhar Chellappa, Lihong Feng, Peter Benner:
An Adaptive Sampling Approach for the Reduced Basis Method. - Tommaso Zugno, Matteo Drago, Marco Giordani, Michele Polese, Michele Zorzi:
Towards Standardization of Millimeter Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation. - Felix Sauer, Matthias Niedermaier, Susanne Kießling, Dominik Merli:
LICSTER - A Low-cost ICS Security Testbed for Education and Research. - Fabian Frei, Edith Hemaspaandra, Jörg Rothe:
Complexity of Stability. - Thomas Bläsius, Tobias Friedrich, Martin Schirneck:
The Minimization of Random Hypergraphs. - Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula:
A note on the empirical comparison of RBG and Ludii. - Carina Wiesen, Steffen Becker, Marc Fyrbiak, Nils Albartus, Malte Elson, Nikol Rummel, Christof Paar:
Teaching Hardware Reverse Engineering: Educational Guidelines and Practical Insights. - Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze:
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. - Vasilios Mavroudis, Hayden Melton:
Libra: Fair Order-Matching for Electronic Financial Exchanges. - Carina Wiesen, Nils Albartus, Max Hoffmann, Steffen Becker, Sebastian Wallat, Marc Fyrbiak, Nikol Rummel, Christof Paar:
Towards Cognitive Obfuscation: Impeding Hardware Reverse Engineering Based on Psychological Insights. - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. - Bowen Zhang, Benedetta Tondi, Mauro Barni:
Attacking CNN-based anti-spoofing face authentication in the physical domain. - S. Soroush Haj Zargarbashi, Bagher BabaAli:
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language. - Nicolas Bus, Ana Roxin, Guillaume Picinbono, Muhammad Fahad:
Towards French Smart Building Code: Compliance Checking Based on Semantic Rules. - Piotr Niewinski, Maria Pszona, Maria Janicka:
TMLab: Generative Enhanced Model (GEM) for adversarial attacks. - Bernd Kiefer, Anna Welker, Christophe Biwer:
VOnDA: A Framework for Ontology-Based Dialogue Management. - Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz, Max Schwarz, Sven Behnke:
Autonomous Bimanual Functional Regrasping of Novel Object Class Instances. - Sebastian Wallat, Nils Albartus, Steffen Becker, Max Hoffmann, Maik Ender, Marc Fyrbiak, Adrian Drees, Sebastian Maaßen, Christof Paar:
Highway to HAL: Open-Sourcing the First Extendable Gate-Level Netlist Reverse Engineering Framework. - Moksh Jain, Sowmya Kamath S.:
Proximal Policy Optimization for Improved Convergence in IRGAN. - Jakub Náplava, Milan Straka:
Grammatical Error Correction in Low-Resource Scenarios. - Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein:
Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory. - Aidar Valeev, Ilshat Gibadullin, Albina Khusainova, Adil Khan:
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair. - Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. - Ilshat Gibadullin, Aidar Valeev, Albina Khusainova, Adil Khan:
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation. - Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. - Fei Wu, Thomas Michel, Alexandre Briot:
Leveraging Model Interpretability and Stability to increase Model Robustness. - Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann:
Affordable Uplift: Supervised Randomization in Controlled Experiments. - David Isele, Alireza Nakhaei, Kikuo Fujimura:
Safe Reinforcement Learning on Autonomous Vehicles. - Guido Cantelmo, Moeid Qurashi, A. Arun Prakash, Constantinos Antoniou, Francesco Viti:
Incorporating Trip Chaining within Online Demand Estimation. - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. - Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. - Jiachun Liao, Chong Huang, Peter Kairouz, Lalitha Sankar:
Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints.