default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, February 2019
- Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez:
An Evaluation of the Human-Interpretability of Explanation. - Andreas Varga:
Descriptor system techniques and software tools. - Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
Query Inseparability for ALC Ontologies. - Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy:
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints. - Denis S. Krotov:
On dual codes in the Doob schemes. - Denis S. Krotov, Vladimir N. Potapov:
On two-fold packings of radius-1 balls in Hamming graphs. - Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. - Scott Gigante
, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy:
Compressed Diffusion. - Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. - David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis:
Your Gameplay Says it All: Modelling Motivation in Tom Clancy's The Division. - Ashok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara:
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms. - Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. - Shuyi Shen, Bernardo A. Huberman, Lin Cheng, Gee-Kung Chang:
Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications. - Ahmad Alhilal, Salah Dowaji:
Base Station Distance Adaptive LEACH. - Michael D. Iannacone, Robert A. Bridges:
A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. - Audrey Sedal, Alan Wineman, R. Brent Gillespie, C. David Remy:
Comparison and Experimental Validation of Predictive Models for Soft, Fiber-Reinforced Actuators. - Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers:
Probabilistic Discriminative Learning with Layered Graphical Models. - Justin Chan, Thomas Rea, Shyamnath Gollakota, Jacob E. Sunshine:
Contactless Cardiac Arrest Detection Using Smart Devices. - Pragathi Praveena, Guru Subramani, Bilge Mutlu, Michael Gleicher:
Characterizing Input Methods for Human-to-robot Demonstrations. - (Withdrawn) Learning Triggers for Heterogeneous Treatment Effects.
- Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. - Emanuele Fabbiani, Andrea Marziali, Giuseppe De Nicolao:
Short-term forecasting of Italian gas demand. - Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). - Eric Clarkson:
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. - Iago A. Carvalho:
On the statistical evaluation of algorithmic's computational experimentation with infeasible solutions. - Eric Clarkson:
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. - Bo Wang, Hao Hu, Caixia Zhang:
Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. - Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity with Tail Bounds. - Yanni Georghiades, Steven Flolid, Sriram Vishwanath:
HashCore: Proof-of-Work Functions for General Purpose Processors. - Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. - Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities. - Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-net for robust and efficient nuclei instance segmentation. - Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. - C. Sinan Güntürk, Weilin Li:
High-performance quantization for spectral super-resolution. - Ryan Marcus, Olga Papaemmanouil:
Plan-Structured Deep Neural Network Models for Query Performance Prediction. - Rui Paiva, Eduardo Silva Palmeira, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
Lattice-valued Overlap and Quasi-Overlap Functions. - Xiang Zhang, Nicholas Woolsey, Mingyue Ji:
Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs. - Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. - Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. - Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Hangjin Liu, Cynthia Rush, Dror Baron:
An Analysis of State Evolution for Approximate Message Passing with Side Information. - Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. - Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Ulrik Lyngs, Kai Lukoff, Petr Slovák, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt:
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools. - Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi:
Compressing GANs using Knowledge Distillation. - Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. - Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. - Minchul Kim, Jungwoo Lee:
Private Secure Coded Computation. - Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. - Kentaro Yoshioka, Edward Lee, Simon Wong, Mark Horowitz:
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models. - Tengyang Xie, Philip S. Thomas, Gerome Miklau:
Privacy Preserving Off-Policy Evaluation. - Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Olivier Brochu Dufour, Cédric Leblond-Ménard, Mahdis Asaadi, Maxime Raison:
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution. - Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. - Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. - Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. - Steven Jens Jorgensen, James Holley, Frank Mathis, Joshua S. Mehling, Luis Sentis:
Thermal Recovery of Multi-Limbed Robots with Electric Actuators. - Guangmo Tong:
Adaptive Influence Maximization under General Feedback Models. - Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. - Lê Thành Dung Nguyên, Paolo Pistone, Thomas Seiller, Lorenzo Tortora de Falco:
Finite semantics of polymorphism, complexity and the power of type fixpoints. - Liao Wu, Ross Crawford, Jonathan Roberts:
Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. - Yiding Chen, Xiaojin Zhu:
Optimal Adversarial Attack on Autoregressive Models. - Matías R. Bender, Jean-Charles Faugère, Elias P. Tsigaridas:
Gr{ö}bner Basis over Semigroup Algebras: Algorithms and Applications for Sparse Polynomial Systems. - Ruihuan Du, Yu Zhong, Harikesh S. Nair, Bo Cui, Ruyang Shou:
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. - Katsuhito Nakashima, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Linear-size Suffix Tries for Parameterized Strings. - Siu-Wing Cheng, Man-Kwun Chiu, Kai Jin:
A note on self-improving sorting with hidden partitions. - Qiuyu Zhu, Ruixin Zhang:
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids. - Mladen Kovacevic, Sanja Brdar, Vladimir S. Crnojevic:
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. - Ibrahim Anka Salihu, Rosziati Ibrahim, Bestoun S. Ahmed, Kamal Z. Zamli, Asmau Usman:
AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing. - Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. - Terry Shue Chien Lau, Chik How Tan:
Key Recovery Attack on Rank Quasi-Cyclic Code-based Signature Scheme. - Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. - Anselm Haak, Juha Kontinen, Fabian Müller, Heribert Vollmer, Fan Yang:
Counting of Teams in First-Order Team Logics. - Christos Kaplanis, Murray Shanahan, Claudia Clopath:
Policy Consolidation for Continual Reinforcement Learning. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
The Application of Bipartite Matching in Assignment Problem. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
An efficient sorting algorithm - Ultimate Heapsort(UHS). - Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the importance of color spaces for image classification. - Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. - Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. - Héctor García de Marina, Ewoud J. J. Smeur:
Flexible collaborative transportation by a team of rotorcraft. - Jeroen Berrevoets, Wouter Verbeke:
Causal Simulations for Uplift Modeling. - Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
Probabilistic Gathering Of Agents With Simple Sensors. - Ambrus Kaposi, András Kovács:
Signatures and Induction Principles for Higher Inductive-Inductive Types. - Oleksii Sidorov, Jon Yngve Hardeberg:
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution. - Benjamin Doerr, Carola Doerr, Frank Neumann:
Fast Re-Optimization via Structural Diversity. - Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh:
Generative Smoke Removal. - Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei:
Rethinking Visual Relationships for High-level Image Understanding. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. - Seyed Ali Ossia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gündüz:
Privacy Against Brute-Force Inference Attacks. - Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Paschalis C. Sofotasios, Sami Muhaidat, Naofal Al-Dhahir:
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. - Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez:
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition. - Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi:
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication. - Shuang Zheng, Jing Yang, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems. - Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. - Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. - Luiz Pessoa:
Intelligent architectures for robotics: The merging of cognition and emotion. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Generation and Application of Medical Image Grid Based on Differential Geometric Features. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Octavia A. Dobre, Naofal Al-Dhahir:
Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs. - Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. - Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. - Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, Mingliang Xu:
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game. - Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
On Steering Swarms. - Salvatore D'Oro, Francesco Restuccia, Alessandro Talamonti, Tommaso Melodia:
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems. - Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Practical Model-driven Data Generation for System Testing. - Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. - Gurudutt Hosangadi, Dandan Wang, Anil Rao:
System Design Considerations For Internet Of Things (IoT) With Category-M Devices In LTE Networks. - Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. - Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. - Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen:
Adventures in Monitorability: From Branching to Linear Time and Back Again. - Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. - Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. - Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov:
TF-Replicator: Distributed Machine Learning for Researchers. - Tor Lattimore, Csaba Szepesvári:
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Estimation of 3D Lines in Spherical Coordinates. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. - Sen Chen, Lingling Fan, Chunyang Chen, Ting Su, Wenhe Li, Yang Liu, Lihua Xu:
StoryDroid: Automated Generation of Storyboard for Android Apps. - Ghasem Pasandi, Shahin Nazarian, Massoud Pedram:
Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach. - Ghasem Pasandi, Raghav Mehta, Massoud Pedram, Shahin Nazarian:
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays. - Dongfang Yang, Linhui Li, Keith A. Redmill, Ümit Özgüner:
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus. - Rahul Jain, Raghunath Tewari:
Grid Graph Reachability. - Abram Handler, Brian Dillon, Brendan O'Connor:
Human acceptability judgements for extractive sentence compression. - Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. - Arul Mishra, Himanshu Mishra, Shelly Rathee:
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding. - Aseem R. Baranwal, Jeffrey O. Shallit:
Critical exponent of infinite balanced words via the Pell number system. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Learning Differentiable Grammars for Continuous Data. - Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi Challenge: A New Frontier for AI Research.