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Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Jinkun Wang, Brendan Englot, John D. Martin, Fanfei Chen, Yewei Huang , arXiv preprint , 2020C++Free
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Classification with Valid and Adaptive Coverage
Yaniv Romano, Emmanuel J. Candès, Matteo Sesia , arXiv preprint , 2020PythonFree
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Deep Learning in the Wavelet Domain
Fergal Cotter, Nick Kingsbury , arXiv preprint , 2018PythonFree
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Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
Varun Mannam, Arman Kazemi , arXiv preprint , 2020PythonFree
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Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation
Xiaojun Chang, Fuyu Wang, Xiaodan Liang, Mingjie Li , arXiv preprint , 2020UnspecifiedFree
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Triplet Loss for Knowledge Distillation
Junichi Miyao, Motoshi Abe, Takio Kurita, Hideki Oki , arXiv preprint , 2020Jupyter NotebookFree
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Towards Deeper Graph Neural Networks
Hongyang Gao, Shuiwang Ji, Meng Liu , arXiv preprint , 2020MultipleFree
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A benchmark study on reliable molecular supervised learning via Bayesian learning
Seyoul Yoon, Hanseok Jo, Doyeong Hwang, Seongok Ryu, Grace Lee , arXiv preprint , 2020Jupyter NotebookFree
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Adversarial Bipartite Graph Learning for Video Domain Adaptation
Zijian Wang, Mahsa Baktashmotlagh, Zi Huang, Zheng Zhang, Yadan Luo , arXiv preprint , 2020PythonFree
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Exploring Swedish & English fastText Embeddings with the Transformer
Foteini Liwicki, Marcus Liwicki, Tosin P. Adewumi , arXiv preprint , 2020PythonFree
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Poor Man's BERT: Smaller and Faster Transformer Models
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Preslav Nakov , arXiv preprint , 2020MultipleFree
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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Xianzhi Wang, Can Li, Lei Bai, Lina Yao, Can Wang , arXiv preprint , 2020PythonFree
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Towards Visual Distortion in Black-Box Attacks
Nannan Li, Zhenzhong Chen , arXiv preprint , 2020PythonFree
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Topic modeling of public repositories at scale using names in source code
Vadim Markovtsev, Eiso Kant , arXiv preprint , 2017MultipleFree
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Unsupervised Learning of Particle Image Velocimetry
Mingrui Zhang, Matthew D. Piggott , arXiv preprint , 2020PythonFree
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Deep Embedded Multi-view Clustering with Collaborative Training
Jie Xu, Yazhou Ren, Lili Pan, Guofeng Li, Ce Zhu, Zenglin Xu , arXiv preprint , 2020UnspecifiedFree
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Second-Order Pooling for Graph Neural Networks
Shuiwang Ji, Zhengyang Wang , arXiv preprint , 2020PythonFree
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SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments
Nicholas Rhinehart, Coline Devin, Daniel Geng, Sergey Levine, Chelsea Finn, Glen Berseth, Dinesh Jayaraman , arXiv preprint , 2019PythonFree
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How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?
Aditya Gopalan, Himanshu Tyagi , arXiv preprint , 2020PythonFree
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DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
Flora Salim, Ali Hamdi, Du Yong Kim , arXiv preprint , 2020PythonFree
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MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
Damien Graux, Afshin Sadeghi, Jens Lehmann, Hamed Shariat Yazdi , arXiv preprint , 2019MultipleFree
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Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction
Steven L. Song, Weiqi Shi, Michael Reed , arXiv preprint , 2020PythonFree
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Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Soshi Iba, Ashwin Balakrishna, Katsu Yamane, Brijen Thananjeyan, John Canny, Jeffrey Ichnowski, Edward Cen, Aditya Ganapathi, Ken Goldberg, Ryan Hoque, Ajay Kumar Tanwani, Minho Hwang, Nawid Jamali, Daniel Seita , arXiv preprint , 2019C++Free
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Optimal Thinning of MCMC Output
Pawel Swietach, Jon Cockayne, Steven A. Niederer, Lester Mackey, Chris. J. Oates, Wilson Chen, Marina Riabiz , arXiv preprint , 2020MATLABFree
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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Max Welling, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Didrik Nielsen , arXiv preprint , 2020PythonFree
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Distributionally Robust Formulation and Model Selection for the Graphical Lasso
Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh , arXiv preprint , 2019PythonFree
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Distributional Reinforcement Learning with Maximum Mean Discrepancy
Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh , arXiv preprint , 2020UnspecifiedFree
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Channel-Level Variable Quantization Network for Deep Image Compression
Hiroaki Akutsu, Zhisheng Zhong, Kiyoharu Aizawa , arXiv preprint , 2020PythonFree
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Assisted Perception: Optimizing Observations to Communicate State
Siddharth Reddy, Sergey Levine, Anca D. Dragan , arXiv preprint , 2020Jupyter NotebookFree
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Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Heri Ramampiaro, Helge Langseth , arXiv preprint , 2020Jupyter NotebookFree
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Playing Chess with Limited Look Ahead
Arman Maesumi , arXiv preprint , 2020PythonFree
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Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Yu Zhang, Jiawei Han, Yu Meng, Jiaxin Huang, Chao Zhang, Yunyi Zhang , arXiv preprint , 2020CFree
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Kernel Assisted Learning for Personalized Dose Finding
Michael R. Kosorok, Rui Song, Wenbin Lu, Liangyu Zhu , arXiv preprint , 2020RFree
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Börje F. Karlsson, Jian-Guang Lou, Zijia Lin, Biqing Huang , arXiv preprint , 2020PythonFree
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Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Chao Xu, Boxin Shi, Yixing Xu, Chang Xu, Yunhe Wang, Yehui Tang, Chunjing Xu , arXiv preprint , 2020PythonFree
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ASSD: Attentive Single Shot Multibox Detector
Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas , arXiv preprint , 2019PythonFree
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Visualizing Classification Structure of Large-Scale Classifiers
Zeng Dai, Liu Ren, Shabnam Ghaffarzadegan, Zhixin Yan, Bilal Alsallakh , arXiv preprint , 2020Jupyter NotebookFree
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Fake Review Detection Using Behavioral and Contextual Features
Jay Kumar , arXiv preprint , 2020JavaFree
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PiNet: Attention Pooling for Graph Classification
Peter J. Bentley, Peter Meltzer, Marcelo Daniel Gutierrez Mallea , arXiv preprint , 2020PythonFree
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ktrain: A Low-Code Library for Augmented Machine Learning
Arun S. Maiya , arXiv preprint , 2020MultipleFree
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Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning
Junha Chun, Sang Kyun Cha, Young Min Kim, Dongsu Zhang , arXiv preprint , 2020C++Free
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Language-agnostic BERT Sentence Embedding
Naveen Arivazhagan, Yinfei Yang, Daniel Cer, Fangxiaoyu Feng, Wei Wang , arXiv preprint , 2020PythonFree
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MolecularRNN: Generating realistic molecular graphs with optimized properties
Junier Oliva, Mariya Popova, Olexandr Isayev, Mykhailo Shvets , arXiv preprint , 2019MultipleFree
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Stance Detection in Web and Social Media: A Comparative Study
Saptarshi Ghosh, Siddharth Singh, Koustav Rudra, Shalmoli Ghosh, Prajwal Singhania , arXiv preprint , 2020PythonFree
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Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models
Kevin Smith, Hossein Azizpour, Yue Liu, Fredrik Strand , arXiv preprint , 2020PythonFree
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Beyond Graph Neural Networks with Lifted Relational Neural Networks
Gustav Sourek, Ondrej Kuzelka, Filip Zelezny , arXiv preprint , 2020MultipleFree
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A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
Caio Davi, Ulisses Braga-Neto , arXiv preprint , 2020PythonFree
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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
Alessandro Lazaric, Luigi Carratino, Michal Valko, Lorenzo Rosasco, Daniele Calandriello , arXiv preprint , 2019PythonFree
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Dense Passage Retrieval for Open-Domain Question Answering
Sewon Min, Barlas Oğuz, Danqi Chen, Patrick Lewis, Vladimir Karpukhin, Sergey Edunov, Wen-tau Yih, Ledell Wu , arXiv preprint , 2020MultipleFree
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The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Serge Belongie, Noah Snavely, Awais Khan, Ranjita Thapa , arXiv preprint , 2020MultipleFree
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Editing Text in the Wild
Jingtuo Liu, Liang Wu, Chengquan Zhang, Errui Ding, Jiaming Liu, Xiang Bai, Junyu Han , arXiv preprint , 2019MultipleFree
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Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study
Franz Király, Markus Löning , arXiv preprint , 2020PythonFree
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Evolving Normalization-Activation Layers
Hanxiao Liu, Karen Simonyan, Quoc V. Le, Andrew Brock , arXiv preprint , 2020MultipleFree
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Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
Dong Wang, Bin Yan, Huchuan Lu, Xiaoyun Yang , arXiv preprint , 2020PythonFree
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Blind Inverse Gamma Correction with Maximized Differential Entropy
Yong Lee, Xiaoyu He, Shaohua Zhang, Miao Li , arXiv preprint , 2020PythonFree
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Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
Hinda Haned, Phillip Lippe, Pengjie Ren, Bart Voorn, Maarten de Rijke , arXiv preprint , 2020PythonFree
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Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
Oleg Arenz, Gerhard Neumann , arXiv preprint , 2020PythonFree
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Unsupervised Learning of Video Representations via Dense Trajectory Clustering
Martial Hebert, Pavel Tokmakov, Cordelia Schmid , arXiv preprint , 2020PythonFree
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The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
Yuhuai Wu, Roger Grosse, Jimmy Ba, Honghua Dong , arXiv preprint , 2020MultipleFree
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Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
Guanhong Tao, Yaping Zhang, kaisheng Liao, Zhenghong Zhang, Yi Zhong , arXiv preprint , 2019Jupyter NotebookFree
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Unsupervised Doodling and Painting with Improved SPIRAL
Tejas Kulkarni, Andy Ballard, Oriol Vinyals, Eunbyung Park, Theophane Weber, Dan Rosenbaum, S. M. Ali Eslami, Yaroslav Ganin, John F. J. Mellor, Igor Babuschkin , arXiv preprint , 2019PythonFree
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ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
Yunyang Xiong, Varsha Hedau, Hyunwoo J. Kim , arXiv preprint , 2019PythonFree
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Meta-learning framework with applications to zero-shot time-series forecasting
Dmitri Carpov, Yoshua Bengio, Nicolas Chapados, Boris N. Oreshkin , arXiv preprint , 2020PythonFree
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Metric-Guided Prototype Learning
Vivien Sainte Fare Garnot, Loic Landrieu , arXiv preprint , 2020Jupyter NotebookFree
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Learning To Score Olympic Events
Brendan Tran Morris, Paritosh Parmar , arXiv preprint , 2016MultipleFree
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Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Xuehai Tang, Dou Hu, Songlin Hu, Lingwei Wei, Wei Zhou, Jizhong Han, Xiaodan Zhang, Xin Wang , arXiv preprint , 2020PythonFree
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Learning Data Augmentation with Online Bilevel Optimization for Image Classification
Ismail Ben Ayed, Issam Laradji, Saypraseuth Mounsaveng, Marco Pedersoli, David Vazquez , arXiv preprint , 2020Jupyter NotebookFree
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Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Claudiu Musat, Boi Faltings , arXiv preprint , 2019PythonFree
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Learning to adapt class-specific features across domains for semantic segmentation
Mikel Menta, Adriana Romero, Joost van de Weijer , arXiv preprint , 2020PythonFree
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Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
Ying Sun, Ye Tian, Jinming Xu, Gesualdo Scutari , arXiv preprint , 2019MATLABFree
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GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Quoc Phong Nguyen, Kian Hsiang Low, Mun Choon Chan, Dinil Mon Divakaran, Kar Wai Lim , arXiv preprint , 2019Jupyter NotebookFree
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Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited
Andrew Gordon Wilson, Wesley J. Maddox, Gregory Benton , arXiv preprint , 2020Jupyter NotebookFree
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Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
Shanshan Wang, Cong Quan, Yuanzheng Zhu, Qiegen Liu, Yang Chen, Jinjie Zhou, Dong Liang , arXiv preprint , 2020MultipleFree
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Generalized Energy Based Models
Liang Zhou, Arthur Gretton, Michael Arbel , arXiv preprint , 2020PythonFree
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Bilinear CNNs for Fine-grained Visual Recognition
Subhransu Maji, Aruni RoyChowdhury, Tsung-Yu Lin , arXiv preprint , 2015Jupyter NotebookFree
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Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Mike E. Davies, Dongdong Chen, Mohammad Golbabaee , arXiv preprint , 2020PythonFree
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Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings
Tanmoy Chakraborty, Tenzin Singhay Bhotia, Vaibhav Kumar , arXiv preprint , 2020PythonFree
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Adversarial examples and where to find them
Niklas Risse, Christina Göpfert, Jan Philip Göpfert , arXiv preprint , 2020Jupyter NotebookFree
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Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds
Yuan Tian, Saeed Mahloujifar, Fnu Suya, David Evans , arXiv preprint , 2020PythonFree
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Mining Persistent Activity in Continually Evolving Networks
Xinyi Zheng, Danai Koutra, Caleb Belth , arXiv preprint , 2020PythonFree
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CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
Marzyeh Ghassemi, Peter Szolovits, Tzu Ming Harry Hsu, Wei-Hung Weng, Matthew B. A. McDermott , arXiv preprint , 2020Jupyter NotebookFree
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Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars
RajKumar Soundrapandiyan, Abhinav Sagar , arXiv preprint , 2020PythonFree
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Insights from the Future for Continual Learning
Charles Ollion, Eduardo Valle, Thomas Robert, Matthieu Cord, Arthur Douillard , arXiv preprint , 2020PythonFree
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Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets
Bo Li, Haoxiang Wang, Ruoyu Sun , arXiv preprint , 2020PythonFree
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A survey of loss functions for semantic segmentation
Shruti Jadon , arXiv preprint , 2020PythonFree
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Decisions, Counterfactual Explanations and Strategic Behavior
Manuel Gomez-Rodriguez, Stratis Tsirtsis , arXiv preprint , 2020Jupyter NotebookFree
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Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs
Tomohiko Hironaka, Takashi Goda, Wataru Kitade , arXiv preprint , 2020PythonFree
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Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce, Naman D. Singh, Maksym Andriushchenko, Nicolas Flammarion, Matthias Hein , arXiv preprint , 2020MultipleFree
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An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
Peter Bak, Tan Hung Ng, Yishai Shimoni, Sharon Hensley Alford, Yaara Goldschmidt, Ehud Karavani, Denise Meade, Sivan Ravid , arXiv preprint , 2019PythonFree
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Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
Jasmin Bogatinovski, Alexander Acker, Odej Kao, Sasho Nedelkoski, Thorsten Wittkopp , arXiv preprint , 2020PythonFree
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Knowledge Graph Simple Question Answering for Unseen Domains
Evangelos Kanoulas, Nikos Voskarides, Georgios Sidiropoulos , arXiv preprint , 2020Jupyter NotebookFree
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Robust Differentially Private Training of Deep Neural Networks
Dietrich Klakow, Ali Davody, Thomas Kleinbauer, David Ifeoluwa Adelani , arXiv preprint , 2020PythonFree
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Adversarial Learned Molecular Graph Inference and Generation
Christian Wachinger, Sebastian Pölsterl , arXiv preprint , 2019PythonFree
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E-commerce in Your Inbox: Product Recommendations at Scale
Jaikit Savla, Narayan Bhamidipati, Mihajlo Grbovic, Doug Sharp, Vladan Radosavljevic, Varun Bhagwan, Nemanja Djuric , arXiv preprint , 2016MultipleFree
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Deep segmentation networks predict survival of non-small cell lung cancer
Ling Tong, Maggie Gannon, Stephen Baek, Jia Wu, Maximilian Diehn, Steven N. Seyedin, Yusen He, John M. Buatti, Zhiyu Sun, Yusung Kim, Katherine R. Cabel, Xiaodong Wu, Brian J. Smith, Billy W. Loo, Kristin A. Plichta, Bryan G. Allen , arXiv preprint , 2019Jupyter NotebookFree
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Post-Hoc Methods for Debiasing Neural Networks
Yash Savani, Naveen Sundar Govindarajulu, Colin White , arXiv preprint , 2020PythonFree
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ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews
Jan de Boer, Gerbrich Ferdinands, Lars Tummers, Rens van de Schoot, Maarten Hoogerwerf, Bianca Kramer, Parisa Zahedi, Felix Weijdema, Jonathan de Bruin, Joukje Willemsen, Yongchao Ma, Raoul Schram, Martijn Huijts, Daniel Oberski, Albert Harkema, Qixiang Fang , arXiv preprint , 2020MultipleFree
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Low Resource Neural Machine Translation: A Benchmark for Five African Languages
Surafel M. Lakew, Matteo Negri, Marco Turchi , arXiv preprint , 2020ShellFree
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ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Amir Gholami, Zhewei Yao, Michael W. Mahoney, Sheng Shen, Kurt Keutzer , arXiv preprint , 2020MultipleFree
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Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Sungroh Yoon, Jihun Yi , arXiv preprint , 2020PythonFree
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