default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, December 2020
- Ondrej Prazák, Pavel Pribán, Stephen Taylor, Jakub Sido:
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. - Abdellatif Ben Makhlouf:
A Novel Finite Time Stability Analysis of Nonlinear Fractional-Order Time Delay Systems: A Fixed Point Approach. - Liye Fu, Susan R. Fussell, Cristian Danescu-Niculescu-Mizil:
Facilitating the Communication of Politeness through Fine-Grained Paraphrasing. - Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. - Wen Xiao, Giuseppe Carenini:
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. - Haoxiang Ma, Jie Fu:
Attention-Based Planning with Active Perception. - Shreya Malani, Dinesh Gaurav, Anoop Vallabhajosyula, Rahul Agrawal:
Diversifying Relevant Phrases. - Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Towards Self-Supervised Amodal Object Detection. - Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty
, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore:
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. - Gergely Buza, George Haller, Shobhit Jain:
Integral Equations & Model Reduction For Fast Computation of Nonlinear Periodic Response. - Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang:
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief. - Yihao Zhang, Zhaojie Chai, George Lykotrafitis:
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles. - João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. - Anusha Lalitha, Tara Javidi:
On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests. - Zachary Taschdjian:
Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction. - Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak, Michal Pilipczuk, Marcin Wrochna:
Integer Programming and Incidence Treedepth. - Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. - Federica Cecchetto, Vera Traub, Rico Zenklusen:
Bridging the Gap Between Tree and Connectivity Augmentation: Unified and Stronger Approaches. - Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D. Hager, Alan L. Yuille:
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation. - Jorge Kysnney Santos Kamassury, Danilo Silva:
Iterative Error Decimation for Syndrome-Based Neural Network Decoders. - Eylem Erdogan, Ibrahim Altunbas, Nihat Kabaoglu, Halim Yanikomeroglu:
A Cognitive Radio Enabled RF/FSO Communication Model for Aerial Relay Networks: Possible Configurations and Opportunities. - Jürgen Dieber, Sabrina Kirrane:
Why model why? Assessing the strengths and limitations of LIME. - P. G. J. Persoon, Rudi N. A. Bekkers, Floor Alkemade:
How cumulative is technological knowledge? - Amish Mittal, Sourav Sahoo, Arnhav Datar, Juned Kadiwala, Hrithwik Shalu, Jimson Mathew:
Multi-Modal Detection of Alzheimer's Disease from Speech and Text. - Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. - Nang Laik Ma, Gim Hong Chua:
Using Data Analytics to predict students score. - Ivoline C. Ngong, Krystal Maughan, Joseph P. Near:
Towards Auditability for Fairness in Deep Learning. - Matthias Schäfer, Martin Strohmeier, Mauro Leonardi, Vincent Lenders:
LocaRDS: A Localization Reference Data Set. - G. Michele Pinna:
A new operational representation of dependencies in Event Structures. - Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. - Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. - Kanthashree Mysore Sathyendra, Samridhi Choudhary, Leah Nicolich-Henkin:
Extreme Model Compression for On-device Natural Language Understanding. - Sungbin Choi:
Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020. - William Kuszmaul, Alek Westover:
The Variable-Processor Cup Game. - Guosheng Fu, Wenzheng Kuang:
A monolithic divergence-conforming HDG scheme for a linear fluid-structure interaction model. - Zhidong Lu, Florian Holzapfel:
Stability and Performance Analysis for SISO Incremental Flight Control. - Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting:
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. - Vijay Ravi, Yile Gu, Ankur Gandhe, Ariya Rastrow, Linda Liu, Denis Filimonov, Scott Novotney, Ivan Bulyko:
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion. - Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer:
Optimizing Fitness-For-Use of Differentially Private Linear Queries. - Harry Halpin:
A Critique of Immunity Passports and W3C Decentralized Identifiers. - Jiaqi Li, Ross Drummond, Stephen R. Duncan:
Robust error bounds for quantised and pruned neural networks. - Umair Mohammad, Sameh Sorour, Mohamed Hefeida:
Task Allocation for Asynchronous Mobile Edge Learning with Delay and Energy Constraints. - Gergo Merkely, Alireza Borjali, Molly Zgoda, Evan M. Farina, Simon Görtz, Orhun K. Muratoglu, Christian Lattermann, Kartik M. Varadarajan:
Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning. - Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed:
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization. - Pedro Domingos:
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine. - Abu Jahid, Mohammed H. Alsharif, Trevor J. Hall:
A Contemporary Survey on Free Space Optical Communication: Potential, Technical Challenges, Recent Advances and Research Direction. - Benjamin Y. Cho, Jeageun Jung, Mattan Erez:
Accelerating Bandwidth-Bound Deep Learning Inference with Main-Memory Accelerators. - Pratheep Bondalapati, Abhishek Tiwari, Mustafa Emin Sahin, Qi Tang, Srishti Saraswat, Vishvas Suryakumar, Ali Yazdan, Julius Kusuma, Amit Dubey:
SuperCell: A Wide-Area Coverage Solution Using High-Gain, High-Order Sectorized Antennas on Tall Towers. - Yulia T. Peet, Matthew M. Peet:
A New Treatment of Boundary Conditions in PDE Solutions with Galerkin Methods via Partial Integral Equation Framework. - Bahador Bahmani, WaiChing Sun:
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data. - Satya Narayan Shukla, Benjamin M. Marlin:
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance. - Maxwell Van Gelder, Mitchell Wortsman, Kiana Ehsani:
Deconstructing the Structure of Sparse Neural Networks. - Dineshan Subramoney, Clement N. Nyirenda:
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments. - Benjamin Choi, John Kamalu:
Crowd-Sourced Road Quality Mapping in the Developing World. - Shuiyuan Yu, Chunshan Xu, Haitao Liu:
Statistical patterns of word frequency suggesting the probabilistic nature of human languages. - Sven Buechel, Luise Modersohn, Udo Hahn:
Towards a Unified Framework for Emotion Analysis. - Aliaksei L. Petsiuk, Joshua M. Pearce:
Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines. - Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko:
LifeStream: A High-performance Stream Processing Engine for Waveform Data. - Muhammad Usman:
Lightweight Encryption for the Low Powered IoT Devices. - Luca Saglietti, Lenka Zdeborová:
Solvable Model for Inheriting the Regularization through Knowledge Distillation. - Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani:
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. - Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. - Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. - Peng Peng, Jiugen Wang:
How to fine-tune deep neural networks in few-shot learning? - Eric Bolton, Alex Calderwood, Niles Christensen, Jerome Kafrouni, Iddo Drori:
High Quality Real-Time Structured Debate Generation. - Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks. - Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun:
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning. - Petros Papadopoulos, David W. Coit, Ahmed Aziz Ezzat:
Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Dispatch, Accessibility, and Production. - Claudia Flores-Saviaga, Jessica Hammer, Juan Pablo Flores, Joseph Seering, Stuart Reeves, Saiph Savage:
Audience and Streamer Participation at Scale on Twitch. - Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. - Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. - Jihao Fan, Jun Li, Jianxin Wang, Zhihui Wei, Min-Hsiu Hsieh:
Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances. - Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang:
Point2Skeleton: Learning Skeletal Representations from Point Clouds. - Jalal Arabneydi, Amir G. Aghdam:
A Mean-Field Team Approach to Minimize the Spread of Infection in a Network. - Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao:
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization. - Qianli Zhou, Yong Deng:
Fractal-based belief entropy. - Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava:
Sim2Real for Self-Supervised Monocular Depth and Segmentation. - Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. - Charles P. Martin, Benjamin Forster, Hanna Cormick:
Cross-artform performance using networked interfaces: Last Man to Die's Vital LMTD. - Charles P. Martin, Chi-Hsia Lai:
Strike on Stage: a percussion and media performance. - Cheng Yan, Xin Li, Guoqiang Li:
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events. - Andrew Shepley, Gregory Falzon, Paul Kwan:
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection. - Amine Mezghani, Robert W. Heath Jr.:
Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension. - Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. - Charles Martin:
Performing with a Mobile Computer System for Vibraphone. - Hongyang Du, Jiayi Zhang, Ke Guan, Bo Ai, Thomas Kürner:
Reconfigurable Intelligent Surface Aided TeraHertz Communications Under Misalignment and Hardware Impairments. - Xiaoqi Wang, Jiayi Zhang, Hongyang Du, Ning Wang, Bo Ai:
Secrecy Performance of Body-Centric Communications over Alternate Rician Shadowed Fading Channels. - Jiayi Zhang, Hongyang Du, Qiang Sun, Derrick Wing Kwan Ng, Bo Ai:
Physical Layer Security Enhancement with Reconfigurable Intelligent Surface-Assisted Networks. - Vinobha A, Senthil Velan S, Chitra Babu:
Evaluation of Reusability in Aspect Oriented Software using Inheritance Metrics. - Parthipan S, Senthil Velan S, Chitra Babu:
Design Level Metrics to Measure the Complexity Across Versions of AO Software. - Varun M. Gudibanda, Franziska Weber, Yukun Yue:
Convergence analysis of a fully discrete energy-stable numerical scheme for the Q-tensor flow of liquid crystals. - Santiago Badia, Manuel Caicedo, Alberto F. Martín, Javier Principe:
A robust and scalable unfitted adaptive finite element framework for nonlinear solid mechanics. - Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun:
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation. - Chris Monico, Ayan Mahalanobis:
A remark on MAKE - a Matrix Action Key Exchange. - Vicky Zeng, Timothy E. Lee, Jacky Liang, Oliver Kroemer:
Visual Identification of Articulated Object Parts. - Huy Truong Dinh, Daehee Kim:
MILP-based Imitation Learning for HVAC control. - Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, Hitoshi Kiya:
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection. - Mahfuz Ahmed Masum, Sheikh Junayed Ahmed, Ayesha Tasnim, Md Saiful Islam:
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation. - Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Mark L. Shope, Han-Wei Liu:
The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making. - Donghuo Zeng, Yi Yu, Keizo Oyama:
MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio? - Wenhao Luo, Hai-Han Sun, Yee Hui Lee, Abdulkadir C. Yucel, Genevieve Ow, Mohamed Lokman Mohd Yusof:
Effects of Intermediate Frequency Bandwidth on Stepped Frequency Ground Penetrating Radar. - Wesley Pegden, Anish Sevekari:
Comb inequalities for typical Euclidean TSP instances. - Charles P. Martin, Henry Gardner, Ben Swift:
Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices. - Shengyang Chen, Han Chen, Weifeng Zhou, Chih-Yung Wen, Boyang Li:
End-to-End UAV Simulation for Visual SLAM and Navigation. - Liyuan Pan, Shah Chowdhury, Richard Hartley, Miaomiao Liu, Hongguang Zhang, Hongdong Li:
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration. - Kakeru Ohki, Ayako Hashizume, Masaki Aida:
Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect. - Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer:
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. - Zeinab Bahramizadeh, Mojtaba Nazari, Mohammad Khorsand Zak, Zahra Yarahmadi:
Minimal residual Hermitian and skew-Hermitian splitting iteration method for the continuous Sylvester equation. - Gyula Pap, József Varnyú:
Synchronized Traveling Salesman Problem. - Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan L. Yuille:
Unsupervised Part Discovery via Feature Alignment. - Sanae Amani, Christos Thrampoulidis:
Decentralized Multi-Agent Linear Bandits with Safety Constraints. - Jiaxin Guo, Lian Fu, Mingkai Jia, Kaijun Wang, Shan Liu:
Fast and Robust Bin-picking System for Densely Piled Industrial Objects. - Youngwan Lee, Hyungil Kim, Kimin Yun, Jinyoung Moon:
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. - Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-wise Updating for Online Hashing. - Sota Sato, Masaki Waga, Ichiro Hasuo:
Constrained Optimization for Falsification and Conjunctive Synthesis. - Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-tailed Visual Recognition. - Prithvi Kantan, Erika G. Spaich, Sofia Dahl:
A Technical Framework for Musical Biofeedback in Stroke Rehabilitation. - Markus Clemens, Fotios Kasolis, Marvin-Lucas Henkel, B. Kähne, Michael Günther:
A Two-Step Darwin Model Time Domain Formulation for Quasistatic Electromagnetic Field Calculations. - Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie:
Low Bandwidth Video-Chat Compression using Deep Generative Models. - Abhijit Mudigonda, R. Ryan Williams:
Time-Space Lower Bounds for Simulating Proof Systems with Quantum and Randomized Verifiers. - Guangrui Wang, Zhengshuo Li:
Enhanced Sufficient Battery Model for Aggregate Flexibility of Thermostatically Controlled Loads Considering Coupling Constraints. - Sedrick Scott Keh:
Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification. - Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey:
Identifying pandemic-related stress factors from social-media posts - effects on students and young-adults. - Hannes Hagmar, Robert Eriksson, Le Anh Tuan:
Comparison of security margin estimation methods under various load configurations. - Bidisha Sharma, Xiaoxue Gao, Karthika Vijayan, Xiaohai Tian, Haizhou Li:
NHSS: A Speech and Singing Parallel Database. - Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar:
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem. - Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Design and Implementation of Fair Congestion Control for Data Centers Networks. - Goluck Konuko, Giuseppe Valenzise, Stéphane Lathuilière:
Ultra-low bitrate video conferencing using deep image animation. - Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
Signal Fractions Analysis and Safety-Distance Modeling in V2V Inter-lane Communications. - Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo, Nai-Wei Lo, Ernesto Damiani:
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms. - Andrea Natale, Gabriele Todeschi:
Computation of Optimal Transport with Finite Volumes. - Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant:
HORAE: an annotated dataset of books of hours. - Toru Saito, Toshimi Okubo, Naoki Takahashi:
Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving. - Wei Chen, Shang-Hua Teng, Hanrui Zhang:
On the Equivalence Between High-Order Network-Influence Frameworks: General-Threshold, Hypergraph-Triggering, and Logic-Triggering Models. - Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. - Robert Eggersmann, Laurent Stainier, Michael Ortiz, Stefanie Reese:
Efficient Data Structures for Model-free Data-Driven Computational Mechanics. - Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Tony Ribeiro:
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment. - Ashkan Khakzar, Soroosh Baselizadeh, Nassir Navab:
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods. - Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar:
Modifying Memories in Transformer Models. - Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao:
Pre-Trained Image Processing Transformer. - Dominik Strassel, Philipp Reusch, Janis Keuper:
Python Workflows on HPC Systems. - Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. - Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy:
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices. - Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer:
Latent Programmer: Discrete Latent Codes for Program Synthesis. - Jan D. Smeddinck, Markus Krause, Kolja Lubitz:
Mobile Game User Research: The World as Your Lab? - Matteo Mio, Ralph Sarkis, Valeria Vignudelli:
Combining nondeterminism, probability, and termination: equational and metric reasoning. - Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier:
Non-Stationary Latent Bandits. - Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking. - Yi Chu, Paul D. Mitchell, David Grace, Jonathan Roberts, Dominic White, Tautvydas Mickus:
IRIS: A Low Duty Cycle Cross-Layer Protocol for Long-Range Wireless Sensor Networks with Low Power Budget. - Naveen Elango, Pawan Prasad K:
Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis. - Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen:
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. - Sivaramakrishnan K. N., Lipika Deka, Manik Gupta:
Use of Remote Sensing Data to Identify Air Pollution Signatures in India. - Ziye Yang, Shanzheng Guan, Xiao-Lei Zhang:
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation. - Chen Qian, Yunhai Xiong, Xiang Chen:
Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction. - Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. - Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. - Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe:
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification. - Wiebke Toussaint, Aaron Yi Ding:
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. - Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. - Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm. - Shashi Raj Pandey, Minh N. H. Nguyen, Nguyen Dang Tri, Nguyen Hoang Tran, Kyi Thar, Zhu Han, Choong Seon Hong:
Edge-assisted Democratized Learning Towards Federated Analytics. - Jure Brence, Ljupco Todorovski, Saso Dzeroski:
Probabilistic Grammars for Equation Discovery. - Khansa Rasheed, Junaid Qadir, Terence J. O'Brien, Levin Kuhlmann, Adeel Razi:
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction. - Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao:
SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods. - Peng Peng, Yong-Jie Li:
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection. - Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. - Carlo Tiseo, Sydney Rebecca Charitos, Michael N. Mistry:
Theoretical Evidence Supporting Harmonic Reaching Trajectories. - Allard Oelen, Markus Stocker, Sören Auer:
Creating a Scholarly Knowledge Graph from Survey Article Tables. - Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova:
Globally Optimal Relative Pose Estimation with Gravity Prior. - (Withdrawn) Unsupervised Anomaly Detection From Semantic Similarity Scores.
- Faisal Bashir Hussain, Syed Ghazanfar Abbas, Ubaid U. Fayyaz, Ghalib A. Shah, Abdullah Toqeer, Ahmad Ali:
Towards a Universal Features Set for IoT Botnet Attacks Detection. - Milutin Brankovic, Kevin Buchin, Koen Klaren, André Nusser, Aleksandr Popov, Sampson Wong:
(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping. - Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Minimal Solutions for Panoramic Stitching Given Gravity Prior. - Qianwen Wang, Zhutian Chen, Yong Wang, Huamin Qu:
Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS. - Benedetta Tondi, Andrea Costanzo, Dequ Huang, Bin Li:
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture. - Shuyang Ling:
Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method. - Maria Pia Fanti, Agostino Marcello Mangini, Michele Roccotelli, Bartolomeo Silvestri, Salvatore Digiesi:
Electric Vehicle Fleet Relocation Management for Sharing Systems based on Incentive Mechanism. - Martin Kleppmann, Heidi Howard:
Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases. - Renato Cordeiro de Amorim, Vladimir Makarenkov:
Improving cluster recovery with feature rescaling factors. - Victoria Hernández-Mederos, Dimas Martínez Morera, Jorge Estrada-Sarlabous, Valia Guerra-Ones:
Farthest sampling segmentation of triangulated surfaces. - Xin Liang, Zhen-Chen Guo, Tsung-Ming Huang, Tiexiang Li, Wen-Wei Lin:
Bifurcation Analysis of the Eigenstructure of the Discrete Single-curl Operator in Three-dimensional Maxwell's Equations with Pasteur Media. - Iacopo Pozzana, Christos Ellinas, Georgios Kalogridis, Konstantinos Sakellariou:
Spreading of performance fluctuations on real-world project networks. - Stan Z. Li, Lirong Wu, Zelin Zang:
Consistent Representation Learning for High Dimensional Data Analysis. - Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold:
ClimaText: A Dataset for Climate Change Topic Detection. - Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. - Susanne Albers, Leon Ladewig:
New Results for the k-Secretary Problem. - Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo:
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information. - Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Alexey Khorkin, Grigory V. Osipov:
Problems of representation of electrocardiograms in convolutional neural networks. - Susanne Albers, Arindam Khan, Leon Ladewig:
Improved Online Algorithms for Knapsack and GAP in the Random Order Model. - Fabian Hinder, Jonathan Jakob, Barbara Hammer:
Analysis of Drifting Features. - Mingzhi Jiang, Tianhao Wu, Zhe Wang, Yi Gong, Lin Zhang, Ren Ping Liu:
A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing. - Md Rifat Arefin, Minhas Kamal, Kishan Kumar Ganguly, Tarek Salah Uddin Mahmud:
A Statistical Real-Time Prediction Model for Recommender System. - Boaz Lerner, Guy Shiran, Daphna Weinshall:
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. - Shengguo Li, Xinzhe Wu, José E. Román, Ziyang Yuan, Lizhi Cheng:
A Parallel Direct Eigensolver for Sequences of Hermitian Eigenvalue Problems with No Tridiagonalization. - Rupert Mitchell, Jan Blumenkamp, Amanda Prorok:
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. - Susanne Albers, Arindam Khan, Leon Ladewig:
Best Fit Bin Packing with Random Order Revisited. - Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo:
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. - Pablo Aragón, Adriana Alvarado Garcia, Christopher A. Le Dantec, Claudia Flores-Saviaga, Jorge Saldivar:
Civic Technologies: Research, Practice and Open Challenges. - Joni Korpihalkola, Tuomo Sipola, Samir Puuska, Tero Kokkonen:
One-Pixel Attack Deceives Automatic Detection of Breast Cancer. - Maria Bada, Richard Clayton:
Online Suicide Games: A Form of Digital Self-harm or A Myth? - Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun:
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules. - Nesara Dissanayake, Asangi Jayatilaka, Mansooreh Zahedi, Muhammad Ali Babar:
Software Security Patch Management - A Systematic Literature Review of Challenges, Approaches, Tools and Practices. - Peng Yang, Xing Xi, Tony Q. S. Quek, Xianbin Cao, Jingxuan Chen:
Power Control for a URLLC-enabled UAV system incorporated with DNN-Based Channel Estimation. - Liang Yang, Wang Guo, Daniel Benevides da Costa, Mohamed-Slim Alouini:
Free-Space Optical Communication With Reconfigurable Intelligent Surfaces. - Xinyu Gao, Yuanwei Liu, Xiao Liu, Zhijin Qin:
Resource Allocation in IRSs Aided MISO-NOMA Networks: A Machine Learning Approach. - Cristina L. Abad, Eduardo Ortiz-Holguin, Edwin F. Boza:
Have We Reached Consensus? An Analysis of Distributed Systems Syllabi. - Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck:
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. - Joxan Jaffar, Rasool Maghareh, Sangharatna Godboley, Xuan-Linh Ha:
TracerX: Dynamic Symbolic Execution with Interpolation. - Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre:
Iterative VAE as a predictive brain model for out-of-distribution generalization. - Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan L. Yuille:
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. - Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. - Yinchuan Li, Xiaodong Wang, Robert L. Olesen:
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. - Andrea Romanoni, Matteo Matteucci:
Facetwise Mesh Refinement for Multi-View Stereo. - Heng Yin, Hengwei Zhang, Jindong Wang, Ruiyu Dou:
Improving the Transferability of Adversarial Examples with the Adam Optimizer. - Sébastien Montella, Betty Fabre, Tanguy Urvoy, Johannes Heinecke, Lina Maria Rojas-Barahona:
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers. - Fei Ding, Feng Luo, Hongxin Hu, Yin Yang:
Multi-level Knowledge Distillation. - Marzieh Hashemipour-Nazari, Kees Goossens, Alexios Balatsoukas-Stimming:
Hardware Implementation of Iterative Projection-Aggregation Decoding of Reed-Muller Codes. - Xiaohan Cheng:
Obtain Employee Turnover Rate and Optimal Reduction Strategy Based On Neural Network and Reinforcement Learning. - Andres Carvallo, Denis Parra, Gabriel Rada, Daniel Pérez, Juan Ignacio Vasquez, Camilo Vergara:
Neural language models for text classification in evidence-based medicine. - Adam Chejanovsky, César Polindara, Ingo Münch, Carolin Birk:
Assembly of stiffness matrices via atomics. - William Kuszmaul:
Train Tracks with Gaps: Applying the Probabilistic Method to Trains. - Hugo Sica de Andrade, Ola Benderius, Christian Berger, Ivica Crnkovic, Jan Bosch:
HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms. - Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. - Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Mahmoud Darwich, Ege Beyazit, Mohsen Amini Salehi, Magdy A. Bayoumi:
Cost Efficient Repository Management for Cloud-Based On-Demand Video Streaming. - Mustafa Jarrar, Eman Karajah, Muhammad Khalifa, Khaled Shaalan:
Extracting Synonyms from Bilingual Dictionaries. - Christof Kauba, Luca Debiasi, Andreas Uhl:
Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance. - A. Leitao:
On inverse problems modeled by PDE's. - Thomas Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold:
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. - Yan Zhang, Michael J. Black, Siyu Tang:
We are More than Our Joints: Predicting how 3D Bodies Move. - Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou:
Structured Context Enhancement Network for Mouse Pose Estimation. - Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek:
Communication-Efficient Federated Distillation. - Shree Charran R, Rahul Kumar Dubey:
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks. - Shiv Ram Dubey:
A Decade Survey of Content Based Image Retrieval using Deep Learning. - Erwin de Gelder, Olaf Op den Camp:
Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios. - Sajjad Asefi, Sergei Parsegov, Elena N. Gryazina:
Distributed state estimation: a novel stopping criterion. - Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones:
Cyber-Attack Consequence Prediction. - Yang Zhao, Changyou Chen:
Unpaired Image-to-Image Translation via Latent Energy Transport. - Ming Lu, Tong Chen, Dandan Ding, Fengqing Zhu, Zhan Ma:
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning. - Stephan Kunne, Guillaume Potier, Jean Mérot, Perrine Paul-Gilloteaux:
Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies. - Naman Shah, Abhyudaya Srinet, Siddharth Srivastava:
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning. - Raghav Puri, Archit Gupta, Manas Sikri, Mohit Tiwari, Nitish Pathak, Shivendra Goel:
Emotion Detection using Image Processing in Python. - Hongda Wu, Ping Wang:
Fast-Convergent Federated Learning with Adaptive Weighting. - Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic:
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. - Almos Zarandy, Ilia Shumailov, Ross J. Anderson:
Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant. - Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman:
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. - Chao Chen, Di Zhao, Wei Chen, Sei Zhen Khong, Li Qiu:
Phase of Nonlinear Systems. - James Gale, Max Seiden, Çagatay Demiralp:
Sigma Worksheet: Interactive Construction of OLAP Queries. - Peyman Afshani, Pingan Cheng:
Lower Bounds for Semialgebraic Range Searching and Stabbing Problems. - Alec Michael Dunton, Alyson Fox:
Mixed precision matrix interpolative decompositions for model reduction. - Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath:
Simulating Surface Wave Dynamics with Convolutional Networks. - Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation. - Arpan Kusari:
Assessing and Accelerating Coverage in Deep Reinforcement Learning. - Zachary Teed, Jia Deng:
RAFT-3D: Scene Flow using Rigid-Motion Embeddings. - Mohit Mayank:
Intrinsic analysis for dual word embedding space models. - Vasilis Kontonis, Sihan Liu, Christos Tzamos:
Convergence and Sample Complexity of SGD in GANs. - Simina Brânzei, Dimitris Paparas, Nicholas J. Recker:
Searching, Sorting, and Cake Cutting in Rounds. - Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy:
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution. - K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent. - Dimitrios Rafailidis, Stefanos Antaris:
Adaptive Neural Architectures for Recommender Systems. - Jinggang Zhuo, Ling Fan, Harry Jiannan Wang:
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN. - Yuchen Wang, Matthieu Chan Chee, Ziyad Edher, Minh Duc Hoang, Shion Fujimori, Sornnujah Kathirgamanathan, Jesse Bettencourt:
Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs. - Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. - Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang:
Dynamic Feature Pyramid Networks for Object Detection. - Abdul Fatir Ansari, Ming Liang Ang, Harold Soh:
Refining Deep Generative Models via Wasserstein Gradient Flows. - Anirudh Tunga, Sai Vidyaranya Nuthalapati, Juan P. Wachs:
Pose-based Sign Language Recognition using GCN and BERT. - Dennis Gläser, Martin Schneider, Bernd Flemisch, Rainer Helmig:
Comparison of cell- and vertex-centered finite-volume schemes for flow in fractured porous media. - Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram, Saurabh Bagchi:
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems. - Lei Miao, Dingde Jiang:
Wireless Secret Sharing Game between Two Legitimate Users and an Eavesdropper. - Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. - Seyyed Rashid Khazeiynasab, Junjian Qi, Issa Batarseh:
Generator Parameter Estimation by Q-Learning Based on PMU Measurements. - Prasenjit Karmakar:
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning. - Koen Ruymbeek, Karl Meerbergen, Wim Michiels:
Subspace method for multiparameter-eigenvalue problems based on tensor-train representations. - Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali:
Game Theoretic Malware Detection. - Matús Sulír, Jaroslav Porubän:
Designing Voice-Controllable APIs. - Haozheng Luo, Ruiyang Qin:
Open-Ended Multi-Modal Relational Reason for Video Question Answering. - Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu:
Quantum-Inspired Classical Algorithm for Slow Feature Analysis. - Elvis Rojas, Albert Njoroge Kahira, Esteban Meneses, Leonardo Bautista-Gomez, Rosa M. Badia:
A Study of Checkpointing in Large Scale Training of Deep Neural Networks. - Sofian Hamad, Taoufik Yeferny:
A Chatbot for Information Security. - Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. - Milan Nosál, Jaroslav Porubän, Matús Sulír:
Customizing Host IDE for Non-programming Users of Pure Embedded DSLs: A Case Study. - Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia:
Malware Detection using Artificial Bee Colony Algorithm. - Qian Wang, Fanlin Meng, Toby P. Breckon:
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. - Mostafa Abdollahi, Farshad Eshghi, Manoochehr Kelarestaghi, Mozafar Bag-Mohammadi:
Opportunistic Routing Metrics: A Timely One-Stop Tutorial Survey. - Tim Roughgarden:
Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559. - Caglar Yildirim:
A Review of Deep Learning Approaches to EEG-Based Classification of Cybersickness in Virtual Reality. - Matt Luckcuck:
Another Tool in the Box: Why use Formal Methods for Autonomous Systems? - Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville:
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. - Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman:
FFD: Fast Feature Detector. - R. C. Hillyard, Yunlu Liaozheng, Sai Vineeth K. R.:
Huskysort. - Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári:
Towards Good Practices in Self-supervised Representation Learning. - Georgios Tsatiris, Kostas Karpouzis, Stefanos D. Kollias:
A compact sequence encoding scheme for online human activity recognition in HRI applications. - Allison Woodruff, Yasmin Asare Anderson, Katherine Jameson Armstrong, Marina Gkiza, Jay Jennings, Christopher Moessner, Fernanda B. Viégas, Martin Wattenberg, Lynette Webb, Fabian Wrede, Patrick Gage Kelley:
"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity? - Peter Wu, Yifan Zhong, Alan W. Black:
Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarios. - Weisheng Si, Balume Mburano, Wei Xing Zheng:
Measuring Network Robustness by Average Network Flow. - Marianne Guillet, Gerhard Hiermann, Alexander Kröller, Maximilian Schiffer:
Electric Vehicle Charging Station Search in Stochastic Environments. - Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov:
On Statistical Analysis of MOEAs with Multiple Performance Indicators. - Saurav K. Shastri, Rizwan Ahmad, Philip Schniter:
Autotuning Plug-and-Play Algorithms for MRI. - Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov:
Diffusion is All You Need for Learning on Surfaces. - Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. - Javier Flores, Sergi Nadal, Oscar Romero:
Scalable Data Discovery Using Profiles. - Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How much do explanations from the teacher aid students? - Zhe Liu, Fuchun Peng:
Federated Marginal Personalization for ASR Rescoring. - Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Efficient Stereo Matching. - Shibo Li, Robert M. Kirby, Shandian Zhe:
Deep Multi-Fidelity Active Learning of High-dimensional Outputs. - Behrouz Bokharaeian, Alberto Díaz:
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers. - Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen:
ReMP: Rectified Metric Propagation for Few-Shot Learning. - Yaguan Qian, Jiamin Wang, Bin Wang, Zhaoquan Gu, Xiang Ling, Chunming Wu:
Towards Imperceptible Adversarial Image Patches Based on Network Explanations. - Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. - Kellie Corona, Katie Osterdahl, Roderic Collins, Anthony Hoogs:
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection. - Gabriella Isaac, Lauren Hayes, Todd Ingalls:
Cross-Modal Terrains: Navigating Sonic Space through Haptic Feedback. - Lauren Hayes, Adnan Marquez-Borbon:
Nuanced and Interrelated Mediations and Exigencies (NIME): Addressing the Prevailing Political and Epistemological Crises. - Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu:
CPF: Learning a Contact Potential Field to Model the Hand-object Interaction. - Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. - Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. - Lauren Hayes:
Enacting Musical Worlds: Common Approaches to using NIMEs within Performance and Person-Centred Arts Practices. - Sertac Karaman, Levent Guvenç:
Low Cost, Educational Internal Combustion Engine Electronic Control Unit Hardware-in-the-Loop Test Systems. - Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao:
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels. - Baiyang Chen, Xiaoliang Chen:
MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage. - Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim:
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution. - Xiangqiang Gao, Rongke Liu, Aryan Kaushik:
Virtual Network Function Placement in Satellite Edge Computing with a Potential Game Approach. - Zhebin Wu, Chuan Chen, Cong Liu, Zibin Zheng:
Tensor Completion via Few-shot Convolutional Sparse Coding. - Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo:
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance. - Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes. - Yarong Luo, Mengyuan Wang, Chi Guo:
The Geometry and Kinematics of the Matrix Lie Group SEK(3). - Xupeng Wei, Achilleas Anastasopoulos:
Mechanism Design for Demand Management in Energy Communities. - Benjamin Smith:
Ship Detection: Parameter Server Variant. - Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
How Can We Know When Language Models Know? - Qing Ping, Feiyang Niu, Govind Thattai, Joel Chengottusseriyil, Qiaozi Gao, Aishwarya N. Reganti, Prashanth Rajagopal, Gökhan Tür, Dilek Hakkani-Tür, Prem Natarajan:
Interactive Teaching for Conversational AI. - Milutin Brankovic, Joachim Gudmundsson, André van Renssen:
Local Routing in a Tree Metric 1-Spanner. - Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic:
Anytime Control with Markovian Computation and Communication Resources. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Ali Riza Ekti, Halim Yanikomeroglu:
Reconfigurable Intelligent Surfaces in Action for Non-Terrestrial Networks. - Kang Gao, J. Nicholas Laneman, Jonathan D. Chisum, Ralf M. Bendlin, Aditya Chopra, Bertrand M. Hochwald:
Analyzing Training Using Phase Transitions in Entropy - Part II: Application to Quantization and Classification. - Kang Gao, Bertrand M. Hochwald:
Analyzing Training Using Phase Transitions in Entropy - Part I: General Theory. - Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang:
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization. - Kevin Lybarger, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen:
Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework. - Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. - Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. - Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou:
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. - Kunal Talwar:
On the Error Resistance of Hinge Loss Minimization. - Jinfeng Wen, Yi Liu, Zhenpeng Chen, Yun Ma, Haoyu Wang, Xuanzhe Liu:
Understanding Characteristics of Commodity Serverless Computing Platforms. - Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun:
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li:
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution. - Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. - Alexander Zlotnik, Raimondas Ciegis:
A compact higher-order finite-difference scheme for the wave equation can be strongly non-dissipative on non-uniform meshes. - Xiayu Zhong:
Classification of Multimodal Hate Speech - The Winning Solution of Hateful Memes Challenge. - Julie Gerlings, Arisa Shollo, Ioanna D. Constantiou:
Reviewing the Need for Explainable Artificial Intelligence (xAI). - Doruk Pancaroglu:
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks. - Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang:
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. - Lima Agnel Tony, Ashwini Ratnoo, Debasish Ghose:
CORRIDRONE: Corridors for Drones, An Adaptive On-Demand Multi-Lane Design and Testbed. - Ritwik Gupta, Eric T. Heim:
Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response. - Harald Papp, Marc Hanussek:
A Methodology for Deriving Evaluation Criteria for Software Solutions. - Amin Vahidi-Moghaddam, Arman Rajaei, Moosa Ayati, Ramin Vatankhah, Mohammad Reza Hairi Yazdi:
Adaptive prescribed-time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization. - Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. - Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. - Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images. - Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. - Shuyu Zheng, Haoyu Wang, Lei Wu, Gang Huang, Xuanzhe Liu:
VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts. - Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia:
Defending Against Contagious Attacks on a Network with Resource Reallocation. - Rui An, Xingtian Shi, Baohan Xu:
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens:
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking. - Fengkai Yuan, Kai Wang, Rui Hou, Xiaoxin Li, Peinan Li, Lutan Zhao, Jiameng Ying, Amro Awad, Dan Meng:
PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter. - Jernej Kozak:
On Planar Polynomial Geometric Interpolation. - Tutian Tang, Wenqiang Xu, Ruolin Ye, Lixin Yang, Cewu Lu:
Learning Universal Shape Dictionary for Realtime Instance Segmentation. - Qusay Idrees Sarhan, Bestoun S. Ahmed, Miroslav Bures, Kamal Z. Zamli:
Software Module Clustering: An In-Depth Literature Analysis. - Quentin Paletta, Joan Lasenby:
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. - Ibrahim Merad, Yiyang Yu, Emmanuel Bacry, Stéphane Gaïffas:
About contrastive unsupervised representation learning for classification and its convergence. - Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen:
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. - Ori Lahav, Egor Namakonov, Jonas Oberhauser, Anton Podkopaev, Viktor Vafeiadis:
Making Weak Memory Models Fair. - Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Marvin Geiselhart, Stephan ten Brink:
Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels. - Erwin de Gelder, Olaf Op den Camp:
Tagging Real-World Scenarios for the Assessment of Autonomous Vehicles. - Joshua A. Grochow, Youming Qiao, Gang Tang:
Average-case algorithms for testing isomorphism of polynomials, algebras, and multilinear forms. - Silvano Pitassi, Francesco Trevisan, Ruben Specogna:
Explicit geometric construction of sparse inverse mass matrices for arbitrary tetrahedral grids. - Dávid Csercsik:
Quantitative supply security related significance measures for gas reservoires. - Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha:
PlueckerNet: Learn to Register 3D Line Reconstructions. - Rong Zhu, Mattia Rigotti:
Self-correcting Q-Learning. - Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi:
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning. - Matteo Acclavio, Ross Horne, Lutz Straßburger:
An Analytic Propositional Proof System on Graphs. - L. Beirão da Veiga, Franco Dassi, Carlo Lovadina, Giuseppe Vacca:
SUPG-stabilized Virtual Elements for diffusion-convection problems: a robustness analysis. - Samuel Todd Bromley, John Sheppard, Mark Scanlon, Nhien-An Le-Khac:
Retracing the Flow of the Stream: Investigating Kodi Streaming Services. - Yiran Zhong, Yuchao Dai, Hongdong Li:
Efficient Depth Completion Using Learned Bases. - Mingfei Yu, Masahiro Fujita:
Parallel Scheduling Self-attention Mechanism: Generalization and Optimization. - Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin:
Neural Teleportation. - Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining. - Qiong Wu, Hanxu Liu, Ruhai Wang, Pingyi Fan, Qiang Fan, Zhengquan Li:
Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems. - Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah:
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits. - Tetiana A. Vakaliuk, Valerii V. Kontsedailo, Dmytro S. Antoniuk, Olha V. Korotun, Iryna S. Mintii, Andrey V. Pikilnyak:
Using game simulator Software Inc in the Software Engineering education. - Francois Roewer-Despres, Janelle Berscheid:
Continuous Subject-in-the-Loop Integration: Centering AI on Marginalized Communities. - Eyal Arviv, Simo Hanouna, Oren Tsur:
It's a Thin Line Between Love and Hate: Using the Echo in Modeling Dynamics of Racist Online Communities. - Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, Fatima Al Kindi, Sara Al Junaibi, Maha Al Safi, Raghib Ali, Walid Zaher, Mariam Al Harbi, Farah E. Shamout:
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study. - Charis Ann M. Sancho, Uriel M. Melendres:
Development of Dynamic Local Area Network (LAN) Based Mock Board Examination System. - Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller:
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. - Stephanie Lieggi, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn:
The CROSS Incubator: A Case Study for funding and training RSEs. - Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda:
Applied Machine Learning for Games: A Graduate School Course. - Neelam Singh, S. V. Sai Santosh, Sumit Jagdish Darak:
Towards Intelligent Reconfigurable Wireless Physical Layer (PHY). - Oran Gafni, Oron Ashual, Lior Wolf:
Single-Shot Freestyle Dance Reenactment. - Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
Smarter Password Guessing Techniques Leveraging Contextual Information and OSINT. - Kenn Migan Vincent C. Gumonan, Aleta C. Fabregas:
ASIAVR: Asian Studies Virtual Reality Game a Learning Tool. - Chinasa T. Okolo:
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts. - Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller:
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. - Albert V. Paytaren:
Seminar and Training Programs Recommender System for Faculty Members of Higher Education Institution. - Arvind W. Kiwelekar, Sanil S. Gandhi, Laxman D. Netak, Shankar B. Deosarkar:
Use-cases of Blockchain Technology for Humanitarian Engineering. - Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson:
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. - Bartolomeo Silvestri, Alessandro Rinaldi, Antonella Berardi, Michele Roccotelli, Simone Acquaviva, Maria Pia Fanti:
A Serious Game Approach for the Electro-Mobility Sector. - Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. - Pietro Spadaccino, Francesca Cuomo:
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing. - Matt Luckcuck, Marie Farrell:
Proceedings Second Workshop on Formal Methods for Autonomous Systems, FMAS 2020, Virtual, December 7, 2020. EPTCS 329, 2020 [contents] - Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon:
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. - Julius G. Garcia, Connie C. Aunario, Go Frendi Gunawan:
Usability Dimensions and Behavioral Intention to Use Markdown to Moodle in Test Construction. - Berthold Hoffmann, Mark Minas:
Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020, Online-Workshop, 24th June 2020. EPTCS 330, 2020 [contents] - Pegdwendé N. Sawadogo, Jérôme Darmont, Fabien Duchateau:
Feedback from the participants of the ADBIS, TPDL and EDA 2020 joint conferences. - Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai:
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments. - Sepinoud Azimi, Carmen-Gabriela Popa, Tatjana Cucic:
Improving Students Performance in Small-Scale Online Courses - A Machine Learning-Based Intervention. - Chinelo Blessing Oribhabor:
Investigating the Influence of Computer Anxiety on the Academic Performance of Junior Secondary School Students in Computer Studies in Nigeria. - Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski:
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. - Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi:
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020. - Emad Alenany, Abdessamad Ait El Cadi:
Modeling patient flow in the emergency department using machine learning and simulation. - Mark Weber, Mikhail Yurochkin, Sherif Botros, Vanio Markov:
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination. - Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems. - Deepika Tiwari, Long Zhang, Martin Monperrus, Benoit Baudry:
Production Monitoring to Improve Test Suites. - Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram:
Meta-Cognition-Based Simple And Effective Approach To Object Detection. - Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. - Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Unsupervised Neural Domain Adaptation for Document Image Binarization. - Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. - Arturo Cruz-Maya:
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment. - Chaofeng Chen, Dihong Gong, Hao Wang, Zhifeng Li, Kwan-Yee K. Wong:
Learning Spatial Attention for Face Super-Resolution. - Xiao Mao:
A natural extension to the convex hull problem and a novel solution. - Hans L. Bodlaender:
Parameterized complexity of Bandwidth of Caterpillars and Weighted Path Emulation. - Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Byoung-Tak Zhang:
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. - Sifat Ibne Mushfique, Ahmad Alsharoa, Murat Yuksel:
MirrorVLC: Optimal Mirror Placement for Multi-Element VLC Networks. - Roee Shraga, Ofra Amir, Avigdor Gal:
Learning to Characterize Matching Experts. - David Griffiths, Jan Boehm, Tobias Ritschel:
Curiosity-driven 3D Scene Structure from Single-image Self-supervision. - Sebastian Garcia-Valencia, Alejandro Betancourt, Juan Guillermo Lalinde Pulido:
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music. - Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki:
Policy Supervectors: General Characterization of Agents by their Behaviour. - Fabian Schilling, Fabrizio Schiano, Dario Floreano:
Vision-based flocking in outdoor environments. - Leticia Pinto-Alva, Ian K. Torres, Rosangel Garcia, Ziyan Yang, Vicente Ordonez:
Chair Segments: A Compact Benchmark for the Study of Object Segmentation. - Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng:
Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu:
Retrieving and ranking short medical questions with two stages neural matching model. - Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. - Leonardo Bonati, Salvatore D'Oro, Michele Polese, Stefano Basagni, Tommaso Melodia:
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks. - Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. - Daniel Etiemble:
Multivalued circuits and Interconnect issues. - Rifat Ara Shams, Mojtaba Shahin, Gillian C. Oliver, Waqar Hussain, Harsha Perera, Arif Nurwidyantoro, Jon Whittle:
Measuring Bangladeshi Female Farmers' Values for Agriculture Mobile Applications Development. - Haolin Liu:
The relation between eigenvalue/eigenvector and matrix game. - Taewook Kim, Yonghyun Kim:
Suppressing Spoof-irrelevant Factors for Domain-agnostic Face Anti-spoofing. - Nima Safaei, Pooria Assadi:
Regularization and False Alarms Quantification: Two Sides of the Explainability Coin. - Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust are Randomized Smoothing based Defenses to Data Poisoning? - Zhou Zhou, Yan Xin, Hao Chen, Charlie Zhang, Lingjia Liu:
Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks. - Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro:
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? - Jakob Prange, Nathan Schneider, Vivek Srikumar:
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. - Shenghuan Yang, Md. Tariqul Islam:
IBM Employee Attrition Analysis. - Jordan Cambe, Sebastian Grauwin, Patrick Flandrin, Pablo Jensen:
Exploring and comparing temporal clustering methods. - Ana Sabina Uban, Alina Maria Ciobanu, Liviu P. Dinu:
A Computational Approach to Measuring the Semantic Divergence of Cognates. - William Knauth:
The Self-Simplifying Machine: Exploiting the Structure of Piecewise Linear Neural Networks to Create Interpretable Models. - Jing Su, Chenghua Lin, Mian Zhou, Qingyun Dai, Haoyu Lv:
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling. - Saman Feghhi, Erik Aumayr, Filippo Vannella, Ezeddin Al Hakim, Grigorios Iakovidis:
Safe Reinforcement Learning for Antenna Tilt Optimisation using Shielding and Multiple Baselines. - Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush:
Learning from others' mistakes: Avoiding dataset biases without modeling them. - Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. - Liviu P. Dinu, Ana Sabina Uban:
Analyzing Stylistic Variation across Different Political Regimes. - Viktor Henriksson, Manfred Kufleitner:
Nesting negations in FO2 over infinite words. - Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola:
Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers. - Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy Based Models. - Johannes Klaus Fichte, Markus Hecher, Florim Hamiti:
The Model Counting Competition 2020. - Navod Neranjan Thilakarathne, Mohan Krishna Kagita, W. D. Madhuka Priyashan:
Green Internet of Things for a Better World. - Tong Huang, Sicun Gao, Le Xie:
Transient Stability Assessment of Networked Microgrids Using Neural Lyapunov Methods. - Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer:
Siamese Basis Function Networks for Defect Classification. - Calin-Ioan Gheorghiu:
Spectral Collocation Solutions to Second Order Singular Sturm-Liouville Eigenproblems. - Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. - Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu:
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. - Jaykumar Vaidya, Mohammad Khairul Bashar, Nikhil Shukla:
Using Noise to Augment Synchronization among Oscillators. - Aleksei Gonnochenko, Aleksandr Semochkin, Dmitry E. Egorov, Dmitrii Statovoy, Seyedhassan Zabihifar, Aleksey Postnikov, Elena Seliverstova, Ali Zaidi, Jayson Stemmler, Kevin Limkrailassiri:
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching. - Fengwen Wang, Ole Sigmund:
Extreme 3D architected isotropic materials with tunable stiffness and buckling strength. - Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. - Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell:
DERAIL: Diagnostic Environments for Reward And Imitation Learning. - Md. Musfiqur Rahman, Mashrur Rashik, Md. Mamun-Or-Rashid, Md. Mosaddek Khan:
Improving Solution Quality of Bounded Max-Sum Algorithm to Solve DCOPs involving Hard and Soft Constraints. - Xiaoqi Li, Ting Chen, Xiapu Luo, Chenxu Wang:
CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum. - Taoufik Yeferny, Sofian Hamad, Salem Belhaj:
CDP: a Content Discovery Protocol for Mobile P2P Systems. - Sheng Lei, Alexander J. Flueck:
Proper Selection of Obreshkov-Like Numerical Integrators Used as Numerical Differentiators. - Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger, Marc Pollefeys:
Cross-Descriptor Visual Localization and Mapping. - (Withdrawn) Deep Graph Neural Networks with Shallow Subgraph Samplers.
- Oscar King, Geoffrey Goodell:
Analysis of a Decentralised Digital Token Architecture for Public Transport. - Kaidi Wang, Wenwen Zhang:
The Role of Urban Form in the Performance of Shared Automated Vehicles. - Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. - Yang Liu, Hung D. Nguyen:
Gaussian Process-based Approach for Bilevel Optimization in Power Systems - A Critical Load Restoration Case. - Jonathan D. Jones, Cathryn S. Cortesa, Amy Lynne Shelton, Barbara Landau, Sanjeev Khudanpur, Gregory D. Hager:
Fine-grained activity recognition for assembly videos. - Yang Liu, Hung D. Nguyen:
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers. - Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter:
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. - Minke Xiu, Ellis E. Eghan, Zhen Ming Jiang, Bram Adams:
An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories. - Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. - Thomas L. Carroll:
Do Reservoir Computers Work Best at the Edge of Chaos? - Domenico Cantone, Carmelo Fabio Longo, Marianna Nicolosi Asmundo, Daniele Francesco Santamaria, Corrado Santoro:
Ontological Smart Contracts in OASIS: Ontology for Agents, Systems, and Integration of Services. - Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys:
PatchmatchNet: Learned Multi-View Patchmatch Stereo. - Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avi Sil, Vittorio Castelli, Radu Florian, Salim Roukos:
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training. - Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
A Few Guidelines for Incremental Few-Shot Segmentation. - Gaurav Bhardwaj, Utkarsh A. Mishra, N. Sukavanam, R. Balasubramanian:
Cycloidal Trajectory Realization on Staircase with Optimal Trajectory Tracking Control based on Neural Network Temporal Quantized Lagrange Dynamics (NNTQLD). - Ananth Goyal:
Constructing Segmented Differentiable Quadratics to Determine Algorithmic Run Times and Model Non-Polynomial Functions. - Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction. - Jihua Huang, Amir Tamrakar:
ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation. - Hamdy Mubarak, Sabit Hassan:
ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic. - David R. Bélanger, Ziyuan Gao, Sanjay Jain, Wei Li, Frank Stephan:
Learnability and Positive Equivalence Relations. - Yuqi Ouyang, Victor Sanchez:
Video Anomaly Detection by Estimating Likelihood of Representations. - Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky:
Fair Attribute Classification through Latent Space De-biasing. - Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle:
Deep Data Flow Analysis. - Stefan Vlaski, Elsa Rizk, Ali H. Sayed:
Second-Order Guarantees in Federated Learning. - Sara Berri, Vineeth S. Varma, Samson Lasaulce, Mohammed Said Radjef, Jamal Daafouz:
Studying Node Cooperation in Reputation Based Packet Forwarding within Mobile Ad hoc Networks. - Jie Ying Wu, Nural Yilmaz, Peter Kazanzides, Ugur Tümerdem:
Estimation of Trocar and Tool Interaction Forces on the da Vinci Research Kit with Two-Step Deep Learning. - Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-shot Segmentation of Anatomical Structures. - Rathziel Roncancio, Jupyoung Kim, Aly El Gamal, Jay P. Gore:
Data-driven Analysis of Turbulent Flame Images. - Shuyan Hu, Xiaojing Chen, Wei Ni, Ekram Hossain, Xin Wang:
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications. - Long Yang, Qian Zheng, Gang Pan:
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. - Cliff B. Jones, Alan Burns:
A Rely-Guarantee Specification of Mixed-Criticality Scheduling. - Minhas Kamal, Amin Ahsan Ali, Muhammad Asif Hossain Khan, Mohammad Shoyaib:
Braille to Text Translation for Bengali Language: A Geometric Approach. - Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems. - Sara Berri, Vineeth S. Varma, Samson Lasaulce, Mohammed Said Radjef:
Correlated Equilibria in Wireless Power Control Games. - Nikolai Karpov, Qin Zhang:
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit. - Davis Wertheimer, Luming Tang, Bharath Hariharan:
Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks. - Sara Berri, Samson Lasaulce, Mohammed Said Radjef:
Power control with partial observation in wireless ad hoc networks. - Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene:
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. - Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. - Sara Berri, Samson Lasaulce, Mohammed Said Radjef:
Efficient Packet Transmission in Wireless Ad Hoc Networks with Partially Informed Nodes. - Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. - Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. - Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik:
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. - Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Madhu Sudan:
Decoding Multivariate Multiplicity Codes on Product Sets. - Ian Covert, Su-In Lee:
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression. - Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morphed Face Detection Using Deep Siamese Networks. - Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection. - Ling-Wei Kong, Huawei Fan, Celso Grebogi, Ying-Cheng Lai:
Machine learning prediction of critical transition and system collapse. - Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Effective Feedback for Introductory CS Theory: A JFLAP Extension and Student Persistence. - Diab W. Abueidda, Qiyue Lu, Seid Koric:
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. - Sergio Amat, David Levin, Juan Ruiz-Álvarez:
Corrected approximation strategy for piecewise smooth bivariate functions. - Lucy Simko, Jack Lucas Chang, Maggie Jiang, Ryan Calo, Franziska Roesner, Tadayoshi Kohno:
COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion. - Daniel S. Brown, Jordan Schneider, Scott Niekum:
Value Alignment Verification. - Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. - Hongyu Guo:
Regularization via Adaptive Pairwise Label Smoothing. - Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. - Patrick Lavin, Jeffrey Young, Rich Vuduc, Jonathan Beard:
Online Model Swapping in Architectural Simulation. - Sergio Amat, David Levin, Juan Ruiz-Álvarez:
Corrected subdivision approximation of piecewise smooth functions. - Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. - Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. - Jaime Leonardo Maldonado Cañón, Asil Kaan Bozcuoglu, Christoph Zetzsche:
Multimodal Contact Detection using Auditory and Force Features for Reliable Object Placing in Household Environments. - Maria Urlea, Sergey Loyka:
Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems. - Anastasios Kakkavas, Henk Wymeersch, Gonzalo Seco-Granados, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek:
Power Allocation and Parameter Estimation for Multipath-based 5G Positioning. - Zhenzhen Weng, Serena Yeung:
Holistic 3D Human and Scene Mesh Estimation from Single View Images. - Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms. - Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Dai Hoang Tran, Munazza Zaib, Salma Abdalla Hamad, Abdulwahab Aljubairy, Ahoud Abdulrahmn F. Alhazmi, Subhash Sagar, Congbo Ma:
The 10 Research Topics in the Internet of Things. - Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham:
Time-Aware Models for Software Effort Estimation. - Anastasios Kakkavas, Mario Hernán Castañeda García, Gonzalo Seco-Granados, Henk Wymeersch, Richard A. Stirling-Gallacher, Josef A. Nossek:
Position Information from Single-Bounce Reflections. - Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens:
Graph Neural Networks for Improved El Niño Forecasting. - Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales:
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change. - Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel:
Reliable Model Compression via Label-Preservation-Aware Loss Functions. - Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye:
Domain Adaptation with Incomplete Target Domains. - Kyle Hatch, John Mern, Mykel J. Kochenderfer:
Obstacle Avoidance Using a Monocular Camera. - Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John C. Grundy:
Explainable AI for Software Engineering. - Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel:
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning. - Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. - Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li:
What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education. - Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng:
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. - Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen:
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. - Jianyu Niu, Chen Feng:
Leaderless Byzantine Fault Tolerant Consensus. - Lei Zhang, Fei Zhou, Wei Wei, Yanning Zhang:
Meta-Generating Deep Attentive Metric for Few-shot Classification. - Christopher Thomas, Yale Song, Adriana Kovashka:
Learning to Transfer Visual Effects from Videos to Images. - Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung:
Learning Hyperbolic Representations for Unsupervised 3D Segmentation. - Mehrnoosh Askarpour:
How to Formally Model Human in Collaborative Robotics. 1-14 - Rafael C. Cardoso, Louise A. Dennis, Marie Farrell, Michael Fisher, Matt Luckcuck:
Towards Compositional Verification for Modular Robotic Systems. 15-22 - Mario Gleirscher:
YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments. 31-47 - Fatma Kachi, Chafia Bouanaka, Souheir Merkouche:
A Formal Model for Quality-Driven Decision Making in Self-Adaptive Systems. 48-64 - Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza:
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy. - Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. - Nils Weidmann, Anthony Anjorin, James Cheney:
VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems. 1-12 - Christian Sandmann:
Graph Repair and its Application to Meta-Modeling. 13-34 - Okan Özkan:
Modeling Adverse Conditions in the Framework of Graph Transformation Systems. 35-54 - Dominique Duval, Rachid Echahed, Frédéric Prost:
An Algebraic Graph Transformation Approach for RDF and SPARQL. 55-70 - Hans-Jörg Kreowski, Aaron Lye:
Graph Surfing in Reaction Systems from a Categorial Perspective. 71-87 - Tikhon Pshenitsyn:
Weak Greibach Normal Form for Hyperedge Replacement Grammars. 108-125 - Russ Harmer, Eugenia Oshurko:
Reversibility and Composition of Rewriting in Hierarchies. 145-162 - Gia Septiana Wulandari, Detlef Plump:
Verifying Graph Programs with First-Order Logic. 181-200 - Qing Liu, Haotian Liu, Yixiong Liang:
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images. - Qiaohua Liu, Qian Zhang, Dongmei Shen:
Condition numbers of the mixed least squares-total least squares problem: revisited. - Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang:
Computing the matrix fractional power based on the double exponential formula. - Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks. - Jindong Gu, Volker Tresp:
Interpretable Graph Capsule Networks for Object Recognition. - Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao:
Federated Learning with Diversified Preference for Humor Recognition. - Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution. - Andrew Silva, Rohit Chopra, Matthew C. Gombolay:
Using Cross-Loss Influence Functions to Explain Deep Network Representations. - Matthew L. Daggitt, Timothy G. Griffin:
Dynamic Asynchronous Iterations. - Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. - Xu Li, Hongxing Rui:
A compact divergence-free H(div)-conforming finite element method for Stokes flows. - Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian:
Motion-based Camera Localization System in Colonoscopy Videos. - Sara Ahmadian, Shahrzad Haddadan:
The Wedge Picking Model: A dynamic graph model based on triadic closure. - Mohit Sharma, Oliver Kroemer:
Relational Learning for Skill Preconditions. - Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh:
FairBatch: Batch Selection for Model Fairness. - Wei Kang, Qi Gong:
Neural Network Approximations of Compositional Functions With Applications to Dynamical Systems. - Ryan Feng, Wu-chi Feng, Atul Prakash:
Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. - Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. - Han Qiu, Yi Zeng, Tianwei Zhang, Yong Jiang, Meikang Qiu:
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques. - Zhengyuan Liu, Ke Shi, Nancy F. Chen:
Multilingual Neural RST Discourse Parsing. - Kush Bhatia, Karthik Sridharan:
Online learning with dynamics: A minimax perspective. - Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan, Mehrasa Ahmadipour:
State Masking Over a Two-State Compound Channel. - Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Najam Nazar, Aldeida Aleti:
Feature-Based Software Design Pattern Detection. - Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung:
A Study on the Autoregressive and non-Autoregressive Multi-label Learning. - David B. Lindell, Julien N. P. Martel, Gordon Wetzstein:
AutoInt: Automatic Integration for Fast Neural Volume Rendering. - Qingyi Si, Yuanxin Liu, Peng Fu, Jiangnan Li, Zheng Lin, Weiping Wang:
Learning Disentangled Intent Representations for Zero-shot Intent Detection. - Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. - Li Zhang, Xinyue Chen, Zihao Zhou, Cheng-Xiang Wang, Chun Pan, Yungui Wang:
A Novel 3D Non-Stationary Multi-Frequency Multi-Link Wideband MIMO Channel Model. - Jaime Maldonado, Christoph Zetzsche:
Identification of Prototypical Task Executions Based on Smoothness as Basis of Human-to-Robot Kinematic Skill Transfer. - Jialiang Ma, Bin Chen:
Dual Refinement Feature Pyramid Networks for Object Detection. - Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen:
Automatic Routability Predictor Development Using Neural Architecture Search. - Jingyuan Li, Eli Shlizerman:
Sparse Semi-Supervised Action Recognition with Active Learning. - Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. - Prithwiraj Bhattacharjee, Avi Mallick, Md. Saiful Islam, Marium-E. Jannat:
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach. - Alexandre Variengien, Xavier Hinaut:
A journey in ESN and LSTM visualisations on a language task. - Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. - Nicolas Bousquet, Louis Esperet, François Pirot:
Distributed algorithms for fractional coloring. - Yu Du, Jiwei Zhang:
Perfectly Matched Layers for nonlocal Helmholtz equations Part II: higher dimensions. - Khaled Saleh:
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks. - Ben Goertzel:
Folding and Unfolding on Metagraphs. - Adil Ahmed Chowdhury, Farida Chowdhury, Md. Sadek Ferdous:
A Study of Password Security Factors among Bangladeshi Government Websites. - Martin Bompaire, Antoine Désir, Benjamin Heymann:
Bidding Through the Lens of Attribution: Pick the Right Labels! - Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch:
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. - Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar:
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. - Michael Fischer, Konstantin Kobs, Andreas Hotho:
NICER: Aesthetic Image Enhancement with Humans in the Loop. - Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu:
Neural Contextual Bandits with Deep Representation and Shallow Exploration. - Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen:
Attributes Aware Face Generation with Generative Adversarial Networks. - John Cai, Bill Cai, Sheng Mei Shen:
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning. - Zijun Sun, Chun Fan, Qinghong Han, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Self-Explaining Structures Improve NLP Models. - Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng:
Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping. - (Withdrawn) Distributed Thompson Sampling.
- Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser:
FAT: Federated Adversarial Training. - Petros Ioannidis, Lina Eklund, Anders Sundnes Løvlie:
We Dare You: A Lifecycle Study of a Substitutional Reality Installation in a Museum Space. - Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. - Ricards Marcinkevics, Julia E. Vogt:
Interpretability and Explainability: A Machine Learning Zoo Mini-tour. - Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. - Raphael Bialon:
On Root Detection Strategies for Android Devices. - Johanna Johansen, Tore Pedersen, Simone Fischer-Hübner, Christian Johansen, Gerardo Schneider, Arnold Roosendaal, Harald Zwingelberg, Anders Jakob Sivesind, Josef Noll:
Privacy Labelling and the Story of Princess Privacy and the Seven Helpers. - Jialun Cao, Meiziniu Li, Yeting Li, Ming Wen, Shing-Chi Cheung:
SemMT: A Semantic-based Testing Approach for Machine Translation Systems. - Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun:
Iterative Oversampling Technique for Constraint Energy Minimizing Generalized Multiscale Finite Element Method in the Mixed Formulation. - Xiuli Bi, Yanbin Liu, Bin Xiao, Weisheng Li, Chi-Man Pun, Guoyin Wang, Xinbo Gao:
D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization. - Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. - Weijia Yao, Héctor García de Marina, Bohuan Lin, Ming Cao:
Singularity-free Guiding Vector Field for Robot Navigation. - Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. - Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency domain priors. - Haohan Guo, Heng Lu, Na Hu, Chunlei Zhang, Shan Yang, Lei Xie, Dan Su, Dong Yu:
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training. - Jean-Roch Vlimant, Junqi Yin:
Distributed Training and Optimization Of Neural Networks. - Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran:
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach. - Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. - Linh Anh Nguyen:
Computing Crisp Simulations and Crisp Directed Simulations for Fuzzy Graph-Based Structures. - Filippo Bonchi, Fabio Gadducci, Aleks Kissinger, Pawel Sobocinski, Fabio Zanasi:
String Diagram Rewrite Theory I: Rewriting with Frobenius Structure. - Ross Drummond, Stephen R. Duncan:
Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model. - John Lloyd, Nathan F. Lepora:
Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback. - Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. - Toni Schneidereit, Michael Breuß:
Computational characteristics of feedforward neural networks for solving a stiff differential equation. - Ciara Frances Loughrey, Nick Orr, Anna Jurek-Loughrey, Pawel Dlotko:
Hotspot identification for Mapper graphs. - Weiming Liu, Bin Li, Julian Togelius:
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning. - Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. - Ashish Shrivastava, Kaustubh D. Dhole, Abhinav Bhatt, Sharvani Raghunath:
Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries. - Robert Paluch, Lukasz G. Gajewski, Janusz A. Holyst, Boleslaw K. Szymanski:
Optimizing sensors placement in complex networks for localization of hidden signal source: A review. - Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi:
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Weisen Wang, Xirong Li, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Dayong Ding, Youxin Chen:
Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization. - Arnab Maiti, Palash Dey:
On Parameterized Complexity of Binary Networked Public Goods Game. - Uri Meir:
Comparison Graphs: a Unified Method for Uniformity Testing. - Louis Abraham:
Competition analysis on the over-the-counter credit default swap market. - Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou:
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. - Weicong Chen, Xi Yang, Shi Jin, Pingping Xu:
Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems. - Paola F. Antonietti, Lorenzo Mascotto, Marco Verani, Stefano Zonca:
Stability analysis of polytopic Discontinuous Galerkin approximations of the Stokes problem with applications to fluid-structure interaction problems. - Giuseppe Ughi, Vinayak Abrol, Jared Tanner:
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. - Djoanna Marie V. Salac:
PRESENT: An Android-Based Class Attendance Monitoring System Using Face Recognition Technology. - Sabah Al-Fedaghi:
Exploration in Algorithm Engineering: Modeling Algorithms. - Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé:
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. - Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich:
Transfer Learning as an Enabler of the Intelligent Digital Twin. - Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. - Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. - Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali, Alessandro Mosca, Roee Shraga:
Mapping Patterns for Virtual Knowledge Graphs. - Haijin Zeng, Sheng Liu, Jifeng Ning:
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion. - Ramón I. Verdés Kairuz, Yury Orlov, Luis T. Aguilar:
Convergence time estimate and tuning of twisting algorithm. - Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr:
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. - Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler:
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings. - Gersende Fort, Eric Moulines, Hoi-To Wai:
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. - Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi:
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India. - Henry D. Chacon, Paul Rad:
Effect of backdoor attacks over the complexity of the latent space distribution. - Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro:
Teaching the Machine to Explain Itself using Domain Knowledge. - Bojing Feng, Haonan Xu, Wenfang Xue, Bindang Xue:
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks.