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ORCIDCoRR, November 2021
- Daniel Freund, Chamsi Hssaine:
Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Platforms. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
A New Algorithm based on Extent Bit-array for Computing Formal Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Granule Description based on Compound Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Concept and Attribute Reduction Based on Rectangle Theory of Formal Concept. - Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. - Jaya Krishna Mandivarapu, Eric Hunch, Glenn Fung:
Domain Agnostic Few-Shot Learning For Document Intelligence. - Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen:
Reinforced Workload Distribution Fairness. - Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang:
Federated Semi-Supervised Learning with Class Distribution Mismatch. - Yifan Chen, Qi Zeng, Heng Ji, Yun Yang:
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method. - George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky, Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann:
On-device Real-time Hand Gesture Recognition. - Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. - Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis:
On the Power of Edge Independent Graph Models. - Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru:
Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. - T. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt, Cláudio P. Santiago, Daniel M. Faissol, Brenden K. Petersen:
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding. - Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. - Hairo U. Miranda Belmonte, Victor Muñiz-Sánchez, Francisco Corona:
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index. - Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion. - Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. - Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu:
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. - Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath:
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. - Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. - James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. - Zheng Chen, Shi Bai, Lantao Liu:
Efficient Map Prediction via Low-Rank Matrix Completion. - Emanuel Tewolde:
Game Transformations that preserve Nash Equilibrium sets and/or Best Response sets. - Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal:
Deep Deterministic Uncertainty for Semantic Segmentation. - Mahan Fakouri Fard, Mostafa Sahraei-Ardakani, Ge Ou, Mingxi Liu:
Targeted Hardening of Electric Distribution System Components for Enhanced Resilience against Earthquakes. - Ataberk Olgun, Juan Gómez-Luna, Konstantinos Kanellopoulos, Behzad Salami, Hasan Hassan, Oguz Ergin, Onur Mutlu:
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM. - Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. - Hussam Habib, Rishab Nithyanand:
Reddit and the Fourth Estate: Exploring the magnitude and effects of media influence on community level moderation on Reddit. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors. - Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. - Ghananeel Rotithor, Iman Salehi, Edward W. Tunstel, Ashwin P. Dani:
Stitching Dynamic Movement Primitives and Image-based Visual Servo Control. - Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis:
Optimal Compression of Locally Differentially Private Mechanisms. - Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Profit equitably: An investigation of market maker's impact on equitable outcomes. - Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. - John Carter, Spiros Mancoridis:
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem. - Mary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam:
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem. - Thomas Führer, Norbert Heuer, Michael Karkulik:
MINRES for second-order PDEs with singular data. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning. - Henning Lange, J. Nathan Kutz:
FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics. - Abdollah Zakeri, Rohollah Hedayati, Mohammad Khedmati, Mehran Taghipour-Gorjikolaie:
Classification of jujube fruit based on several pricing factors using machine learning methods. - Yuji Nakatsukasa, Joel A. Tropp:
Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems. - Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza:
Combining Public and Private Data. - Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. - Victor Peña-Macias:
How to Find New Characteristic-Dependent Linear Rank Inequalities using Secret Sharing. - Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain:
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition. - Prabhav Arora:
A Demonstration of Benchmarking Time Series Management Systems in the Cloud. - Harsh Kohli:
Learning Representations for Zero-Shot Retrieval over Structured Data. - Glenn Liu, Peidong Wang, Matthew Beveridge, Young-Oh Kwon, Iddo Drori:
Predicting Atlantic Multidecadal Variability. - Ellen Park, Jae Deok Kim, Nadège Aoki, Yumeng Melody Cao, Yamin Arefeen, Matthew Beveridge, David Nicholson, Iddo Drori:
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring. - Tobias Leibner, Maja Matis, Mario Ohlberger, Stephan Rave:
Distributed model order reduction of a model for microtubule-based cell polarization using HAPOD. - Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. - Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context Meta-Reinforcement Learning via Neuromodulation. - Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. - Nimesha Wickramasinghe, Mohamed Nabeel, Kenneth Thilakaratne, Chamath Keppitiyagama, Kasun De Zoysa:
Uncovering IP Address Hosting Types Behind Malicious Websites. - Ojas Parekh, R. Ravi, Michael Zlatin:
On Small-Depth Tree Augmentations. - Chi-Hua Chen:
Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction. - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. - Steven Ge, Toshiya Itoh:
Characterization of the Imbalance Problem on Complete Bipartite Graphs. - Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. - (Withdrawn) TransAug: Translate as Augmentation for Sentence Embeddings.
- Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. - Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. - Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang:
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. - Asoke Datta, Yesdaulet Izenov, Brian Tsan, Florin Rusu:
Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates. - Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. - Taha Elmokadem:
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs. - Nicholas Boucher, Ross J. Anderson:
Trojan Source: Invisible Vulnerabilities. - Zhentao Liang, Jin Mao, Kun Lu, Gang Li:
Finding citations for PubMed: A large-scale comparison between five freely available bibliographic data sources. - Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. - John Miller, Elahe Soltanaghai, Raewyn Duvall, Jeff Chen, Vikram Bhat, Nuno Pereira, Anthony G. Rowe:
Multi-User Augmented Reality with Infrastructure-free Collaborative Localization. - Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. - Fernando Alonso-Fernandez, Pedro Tome-Gonzalez, Virginia Ruiz-Albacete, Javier Ortega-Garcia:
Iris Recognition Based on SIFT Features. - Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
:
On Quantitative Evaluations of Counterfactuals. - Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez, Javier Galbally, Julian Fiérrez, Javier Ortega-Garcia:
Direct attacks using fake images in iris verification. - Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. - Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. - Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. - Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang:
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation. - Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim:
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus. - Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim:
Automatic Knowledge Augmentation for Generative Commonsense Reasoning. - Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok:
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. - Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang:
Backdoor Pre-trained Models Can Transfer to All. - Mahmoud Abdelrahman, Adrian Chong, Clayton Miller:
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. - Prithwish Jana, Debasish Jana:
AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones. - Jiaxu Leng, Taiyue Chen, Xinbo Gao, Yongtao Yu, Ye Wang, Feng Gao, Yue Wang:
A Comparative Review of Recent Few-Shot Object Detection Algorithms. - Raymond R. Devillers:
Articulations and Products of Transition Systems and their Applications to Petri Net Synthesis. - Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng:
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis. - Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre:
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. - Zhang Cheng, Haocheng Wan, Xinyi Shen, Zizhao Wu:
PatchFormer: A Versatile 3D Transformer Based on Patch Attention. - Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. - Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. - Jonas Baggenstos, Diyora Salimova:
Approximation properties of Residual Neural Networks for Kolmogorov PDEs. - Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo:
On quadrature rules for solving Partial Differential Equations using Neural Networks. - Bartosz Zielinski:
A Non-Deterministic Multiset Query Language. - Long Zhang, Javier Ron, Benoit Baudry, Martin Monperrus:
Chaos Engineering of Ethereum Blockchain Clients. - A. T. Aniwange, P. T. Nyishar, Babajide Samuel Afolabi, A. O. Ejidokun:
A Hybrid Software Test Automation for Educational Portals. - Jingyao Yang, Chao Liang, Yanrui Niu, Baojin Huang, Zhongyuan Wang:
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies. - Adam Faci, Marie-Jeanne Lesot, Claire Laudy:
Fuzzy Conceptual Graphs: a comparative discussion. - Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi:
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher:
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation. - Miao Zhang, Miaojing Shi, Li Li:
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning. - Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. - Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei:
Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. - Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion:
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud. - Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty:
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. - Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu:
Utility-driven Mining of Contiguous Sequences. - Patrick Kidger, Cristian Garcia:
Equinox: neural networks in JAX via callable PyTrees and filtered transformations. - Govind Sharma, Paarth Gupta, M. Narasihma Murty:
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks. - Mursalin Habib, Md. Salman Shamil, M. Sohel Rahman:
Counting and Verifying Abelian Border Arrays of Binary Words. - Tommaso Tassi, Alberto Zingaro, Luca Dedè:
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems. - Ittai Rubinstein:
Explicit and Efficient Construction of (nearly) Optimal Rate Codes for Binary Deletion Channel and the Poisson Repeat Channel. - Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. - Guotong Ren, Rami M. Younis:
A Quasi-Newton method for physically-admissible simulation of Poiseuille flow under fracture propagation. - Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty:
Higher-Order Relations Skew Link Prediction in Graphs. - Rajeev Alur, Suguman Bansal, Osbert Bastani, Kishor Jothimurugan:
A Framework for Transforming Specifications in Reinforcement Learning. - Anthony M. Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang:
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Édouard Bonnet, Eun Jung Kim, Amadeus Reinald, Stéphan Thomassé:
Twin-width VI: the lens of contraction sequences. - Kim Hammar, Rolf Stadler:
Intrusion Prevention through Optimal Stopping. - Maria Fox, Michael Meredith, J. Alexander Brearley, Dan Jones, Derek Long:
Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans. - Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian:
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. - Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri:
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. - Giovanni Maciel Ferreira Silva, Taufik Abrão:
Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks. - Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Hayet Amdouni:
Optimizing Binary Symptom Checkers via Approximate Message Passing. - Shicheng Wan, Wensheng Gan, Xu Guo, Jiahui Chen, Unil Yun:
FUIM: Fuzzy Utility Itemset Mining. - Daniel Serna-Poot:
Mobile Technologies in Education. - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
TargetUM: Targeted High-Utility Itemset Querying. - Emmanouil Zaranis, Georgios Paraskevopoulos, Athanasios Katsamanis, Alexandros Potamianos:
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments. - Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. - Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward:
ECG synthesis with Neural ODE and GAN models. - Yotam M. Y. Feldman, Mooly Sagiv, Sharon Shoham, James R. Wilcox:
Property-Directed Reachability as Abstract Interpretation in the Monotone Theory. - Mansura Habiba, Barak A. Pearlmutter:
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. - Alireza Naderi, Yaniv Plan:
Beyond Independent Measurements: General Compressed Sensing with GNN Application.