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CoRR, May 2020
- Michael A. Lepori, Tal Linzen, R. Thomas McCoy:
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. - Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. - Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. - Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. - Maharshi R. Pandya, Jessica Reyes, Bob Vanderheyden:
Method for Customizable Automated Tagging: Addressing the Problem of Over-tagging and Under-tagging Text Documents. - Georgios Bakirtzis, Garrett L. Ward, Christopher J. Deloglos, Carl R. Elks, Barry M. Horowitz, Cody H. Fleming:
Fundamental Challenges of Cyber-Physical Systems Security Modeling. - David B. Lomet, Chen Luo:
Efficiently Reclaiming Space in a Log Structured Store. - Sivasurya Santhanam:
Context based Text-generation using LSTM networks. - Andrey Kutuzov, Mario Giulianelli:
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. - Andreas Lenz, Lorenz Welter, Sven Puchinger:
Achievable Rates of Concatenated Codes in DNA Storage under Substitution Errors. - Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer. - Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. - Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. - Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. - Yiding Hao:
Attribution Analysis of Grammatical Dependencies in LSTMs. - Divya Saxena, Jiannong Cao:
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions. - Pulkit Nahata, Giancarlo Ferrari-Trecate:
On Existence of Equilibria, Voltage Balancing, and Current Sharing in Consensus-Based DC Microgrids. - Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux:
Occlusion resistant learning of intuitive physics from videos. - Sarah Anne Kushner, Risa Ulinski, Karan Singh, David I. W. Levin, Alec Jacobson:
Levitating Rigid Objects with Hidden Support Structures. - Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. - Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. - Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. - Thy Thy Tran, Phong Le, Sophia Ananiadou:
Revisiting Unsupervised Relation Extraction. - David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau:
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation. - Stanislaw Saganowski, Przemyslaw Kazienko, Maciej Dziezyc, Patrycja Jakimów, Joanna Komoszynska, Weronika Michalska, Anna Dutkowiak, Adam G. Polak, Adam Dziadek, Michal Ujma:
Review of Consumer Wearables in Emotion, Stress, Meditation, Sleep, and Activity Detection and Analysis. - Ivan Gonzalez, Rustum Choksi, Jean-Christophe Nave:
A simple geometric method for navigating the energy landscape of centroidal Voronoi tessellations. - Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens:
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning. - Alexander Gutkin, Tatiana Merkulova, Martin Jansche:
Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures. - Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld:
On the Spontaneous Emergence of Discrete and Compositional Signals. - Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. - Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. - Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen:
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification. - Raviteja Anantha, Srinivas Chappidi, William Dawoodi:
Learning to Rank Intents in Voice Assistants. - Liliana I. Carvalho, Daniel Maniglia A. da Silva, Rute C. Sofia:
Leveraging Context-awareness to Better Support the IoT Cloud-Edge Continuum. - Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed:
Probability of Pilot Interference in Pulsed Radar-Cellular Coexistence: Fundamental Insights on Demodulation and Limited CSI Feedback. - Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task Oriented Dialogs. - Shigang Li, Tal Ben-Nun, Dan Alistarh, Salvatore Di Girolamo, Nikoli Dryden, Torsten Hoefler:
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging. - Hans Dermot Doran, Monika Reif, Marco Oehler, Curdin Stoehr, Pierluigi Capone:
Conceptual Design of Human-Drone Communication in Collaborative Environments. - Patrick Xia, João Sedoc, Benjamin Van Durme:
Revisiting Memory-Efficient Incremental Coreference Resolution. - Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, Lambert Schomaker:
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction. - Thanos Tagaris, Andreas Stafylopatis:
Hide-and-Seek: A Template for Explainable AI. - Daniel Lokshtanov, Saket Saurabh, Vaishali Surianarayanan:
A Parameterized Approximation Scheme for Min k-Cut. - Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. - Emanuele Di Pascale, Hamed Ahmadi, Linda Doyle, Irene Macaluso:
Towards scalable user-deployed ultra-dense networks: Blockchain-enabled small cells as a service. - Dariusz Dereniowski, Aleksander Lukasiewicz, Przemyslaw Uznanski:
An Efficient Noisy Binary Search in Graphs via Median Approximation. - Pau Ching Yap, Hippolyt Ritter, David Barber:
Bayesian Online Meta-Learning with Laplace Approximation. - Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. - Sabah Al-Fedaghi:
Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events). - (Withdrawn) Neural Entity Summarization with Joint Encoding and Weak Supervision.
- (Withdrawn) Enriching Documents with Compact, Representative, Relevant Knowledge Graphs.
- Ziaur Rahman, Anjela Diana Corraya, Mousumi Akter Sumi, Ali Newaz Bahar:
A Novel Structure of Advance Encryption Standard with 3-Dimensional Dynamic S-box and Key Generation Matrix. - Mohammed Maree, Mohammed Belkhatir:
On the Merging of Domain-Specific Heterogeneous Ontologies using Wordnet and Web Pattern-based Queries. - Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. - Jorge Piazentin Ono, Sonia Castelo, Roque Lopez, Enrico Bertini, Juliana Freire, Cláudio T. Silva:
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines. - Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. - Sajad Sotudeh, Nazli Goharian, Ross W. Filice:
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization. - Forrest Davis, Marten van Schijndel:
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. - Martin A. Sehr, Wei Xi Xia, Prithvi Akella, Juan Aparicio Ojea, Eugen Solowjow:
Information-Collection in Robotic Process Monitoring: An Active Perception Approach. - Davide Bilò, Luciano Gualà, Stefano Leucci, Guido Proietti, Giacomo Scornavacca:
Cutting Bamboo Down to Size. - Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. - Pedro Rodríguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity. - Piotr Jurkiewicz:
Evaluation of Elephant-based Algorithms for Flow Table Reduction under Realistic Traffic Distributions. - Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. - Richard Antonello, Javier Turek, Alexander Huth:
Selecting Informative Contexts Improves Language Model Finetuning. - Clare Lyle, Mark van der Wilk, Marta Kwiatkowska, Yarin Gal, Benjamin Bloem-Reddy:
On the Benefits of Invariance in Neural Networks. - David Eppstein, Daniel Frishberg, William Maxwell:
On the treewidth of Hanoi graphs. - Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Generalization Error of Generalized Linear Models in High Dimensions. - Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. - Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. - Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen:
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. - Qingguo Hong, Chunmei Liu, Jinchao Xu:
An Abstract Stabilization Method with Applications to Nonlinear Incompressible Elasticity. - Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. - Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, Giovanni Vigna:
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability. - Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung:
KPQA: A Metric for Generative Question Answering Using Word Weights. - Shi-Liang Wu, Davod Khojasteh Salkuyeh:
A shift-splitting preconditioner for asymmetric saddle point problems. - Niels F. W. Voorneveld:
From Equations to Distinctions: Two Interpretations of Effectful Computations. 1-17 - Anne Baanen, Wouter Swierstra:
Combining predicate transformer semantics for effects: a case study in parsing regular languages. 39-56 - Artjoms Sinkarovs:
Multi-dimensional Arrays with Levels. 57-71 - Christopher Jenkins, Aaron Stump, Larry Diehl:
Efficient lambda encodings for Mendler-style coinductive types in Cedille. 72-97 - Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. - Corey Wetterer-Nelson, John A. Evans:
Computational Steering of Geometrically Sensitive Simulations. - Baiji Liu, Songjun Cao, Sining Sun, Weibin Zhang, Long Ma:
Multi-head Monotonic Chunkwise Attention For Online Speech Recognition. - Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. - Tejas Bhojraj:
Generating Randomness from a Computable, Non-random Sequence of Qubits. 1-12 - Jean-Simon Pacaud Lemay:
Why FHilb is Not an Interesting (Co)Differential Category. 13-26 - Octavio Zapata:
Effectus of Quantum Probability on Relational Structures. 53-65 - Robert Furber:
Scott Continuity in Generalized Probabilistic Theories. 66-84 - Giulia Meuli, Mathias Soeken, Martin Roetteler, Giovanni De Micheli:
ROS: Resource-constrained Oracle Synthesis for Quantum Computers. 119-130 - Qi Zhang, Carla Seatzu, Zhiwu Li, Alessandro Giua:
A framework for the analysis of supervised discrete event systems under attack. - Sivert Aasnæss:
Cohomology and the Algebraic Structure of Contextuality in Measurement Based Quantum Computation. 242-253 - Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman:
The AVA-Kinetics Localized Human Actions Video Dataset. - Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao:
Exploring Private Federated Learning with Laplacian Smoothing. - Ilja Gubins, Remco C. Veltkamp:
Deeply Cascaded U-Net for Multi-Task Image Processing. - Jianfeng Gao, You Zhou, Tamim Asfour:
Learning Compliance Adaptation in Contact-Rich Manipulation. - Rahul U, Ragul M, Raja Vignesh K, Tejeswinee K:
Deepfake Forensics Using Recurrent Neural Networks. - Mujeen Sung, Hwisang Jeon, Jinhyuk Lee, Jaewoo Kang:
Biomedical Entity Representations with Synonym Marginalization. - Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. - Ashish V. Thapliyal, Radu Soricut:
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage. - Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. - Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. - Ghafour Ahani, Di Yuan, Yixin Zhao:
Age-Optimal UAV Scheduling for Data Collectionwith Battery Recharging. - Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. - Olivier Carton:
A direct proof of Agafonov's theorem and an extension to shift of finite type. - Shuchu Han, Alexandru Niculescu-Mizil:
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction. - Christian Sattler, Andrea Vezzosi:
Partial Univalence in n-truncated Type Theory. - Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI. - Libor Barto, Marcin Kozik, Johnson Tan, Matt Valeriote:
Sensitive instances of the Constraint Satisfaction Problem. - Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. - Zeinab Nezami, Kamran Zamanifar, Karim Djemame, Evangelos Pournaras:
Decentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things. - Yanpeng Zhao, Ivan Titov:
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain. - Tolga Ünlü, Lynsay A. Shepherd, Natalie Coull, Colin McLean:
A Taxonomy of Approaches for Integrating Attack Awareness in Applications. - Olly Styles, Tanaya Guha, Victor Sanchez, Alex C. Kot:
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras. - Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas:
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation. - William Seymour, Reuben Binns, Petr Slovák, Max Van Kleek, Nigel Shadbolt:
Strangers in the Room: Unpacking Perceptions of 'Smartness' and Related Ethical Concerns in the Home. - Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan:
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks. - Marco Vassena, Klaus von Gleissenthall, Rami Gökhan Kici, Deian Stefan, Ranjit Jhala:
Automatically Eliminating Speculative Leaks With Blade. - Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, Sakata Masayuki:
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing. - Hao Dou, Chen Chen, Xiyuan Hu, Zhisen Hu, Silong Peng:
PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution. - Xabier Soto, Dimitar Sht. Shterionov, Alberto Poncelas, Andy Way:
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. - Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. - Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. - Pratyay Banerjee, Chitta Baral:
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering. - Benjamin Muller, Benoît Sagot, Djamé Seddah:
Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi. - Simone Nicchi, Matteo Mariani, Matteo Marini, Federico Palmaro, Daniele Cono D'Elia:
Designing Robust API Monitoring Solutions. - Lonni Besançon, Matthew Cooper, Anders Ynnerman, Frédéric Vernier:
An Evaluation of Visualization Methods for Population Statistics Based on Choropleth Maps. - Chuadhry Mujeeb Ahmed, Jay Prakash, Jianying Zhou:
Revisiting Anomaly Detection in ICS: Aimed at Segregation of Attacks and Faults. - Mohammad Hekmatnejad, Bardh Hoxha, Georgios Fainekos:
Search-based Test-Case Generation by Monitoring Responsibility Safety Rules. - Jonathan D. Hauenstein, Samantha N. Sherman:
Using monodromy to statistically estimate the number of solutions. - Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li:
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation.