2021.1.4 Learning papers

12-30-2020	Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks? by Thang M. Pham et al
12-31-2020	Making Pre-trained Language Models Better Few-shot Learners by Tianyu Gao et al
12-29-2020	Reinforcement Learning for Control of Valves by Rajesh Siraskar
12-30-2020	Algorithms for Learning Graphs in Financial Markets by José Vinícius de Miranda Cardoso et al
12-31-2020	Fairness in Machine Learning by Luca Oneto et al
12-31-2020	FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging by Han Guo et al
12-30-2020	Is Pessimism Provably Efficient for Offline RL? by Ying Jin et al
12-29-2020	Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness by Sabrina J. Mielke et al
12-31-2020	Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection by Bertie Vidgen et al
12-31-2020	Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring by Aitor Ormazabal et al
12-30-2020	Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data by Jillian M. Clements et al
12-30-2020	Joint Verification and Reranking for Open Fact Checking Over Tables by Michael Schlichtkrull et al
12-31-2020	Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation by Yuko Kuroki et al
12-29-2020	Detecting Hate Speech in Multi-modal Memes by Abhishek Das et al
12-30-2020	3D Human motion anticipation and classification by Emad Barsoum et al
12-29-2020	The Adaptive Dynamic Programming Toolbox by Xiaowei Xing et al
12-29-2020	AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection by Shivang Agarwal et al
12-29-2020	DeepSphere: a graph-based spherical CNN by Michaël Defferrard et al
12-29-2020	Inference for Low-rank Tensors -- No Need to Debias by Dong Xia et al
12-29-2020	LISPR: An Options Framework for Policy Reuse with Reinforcement Learning by Daniel Graves et al
12-29-2020	Parzen Window Approximation on Riemannian Manifold by Abhishek et al
12-29-2020	A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization by Zhenglei He et al
12-29-2020	COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography by Heyi Li et al
12-30-2020	Model-Based Visual Planning with Self-Supervised Functional Distances by Stephen Tian et al
12-30-2020	Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions by Yuhang Wu et al
12-29-2020	Image-to-Image Retrieval by Learning Similarity between Scene Graphs by Sangwoong Yoon et al
12-29-2020	Supermodularity and valid inequalities for quadratic optimization with indicators by Alper Atamturk et al
12-29-2020	Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence by Gersende Fort et al
12-30-2020	A Subword Guided Neural Word Segmentation Model for Sindhi by Wazir Ali et al
12-29-2020	Meta Learning Backpropagation And Improving It by Louis Kirsch et al
12-29-2020	Few-Shot Named Entity Recognition: A Comprehensive Study by Jiaxin Huang et al
12-30-2020	Curriculum-based Deep Reinforcement Learning for Quantum Control by Hailan Ma et al
12-30-2020	MM-FSOD: Meta and metric integrated few-shot object detection by Yuewen Li et al
12-31-2020	Language-Mediated, Object-Centric Representation Learning by Ruocheng Wang et al
12-29-2020	Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning by Xuebo Liu et al
12-30-2020	MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures by Laura Mora Ballestar et al
12-29-2020	Towards Fair Deep Anomaly Detection by Hongjing Zhang et al
12-31-2020	Binary Graph Neural Networks by Mehdi Bahri et al
12-31-2020	Text-Free Image-to-Speech Synthesis Using Learned Segmental Units by Wei-Ning Hsu et al
12-29-2020	Abstractive Query Focused Summarization with Query-Free Resources by Yumo Xu et al
12-30-2020	Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing by Peng Xu et al
12-30-2020	Synthetic Source Language Augmentation for Colloquial Neural Machine Translation by Asrul Sani Ariesandy et al
12-30-2020	Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents by Arnob Ghosh et al
12-31-2020	Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization by Yoav Alon et al
12-29-2020	Minimum Excess Risk in Bayesian Learning by Aolin Xu et al
12-29-2020	Testing Product Distributions: A Closer Look by Arnab Bhattacharyya et al
12-31-2020	Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks by Mohammad Akbari et al
12-31-2020	iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations by Saeed Khorram et al
12-31-2020	Differentiable Programming \`a la Moreau by Vincent Roulet et al
12-30-2020	Explainability in Graph Neural Networks: A Taxonomic Survey by Hao Yuan et al
12-30-2020	New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis by Chiranjibi Sitaula et al
12-29-2020	Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder by Yadong Zhou et al
12-31-2020	Neural Network Approximations for Calabi-Yau Metrics by Vishnu Jejjala et al
12-29-2020	Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler by Jianwen Xie et al
12-31-2020	Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning by George Stamatakis et al
12-31-2020	Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study by Matthew Ng et al
12-30-2020	Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective by Shen Chen et al
12-30-2020	Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation by Damian Pascual et al
12-31-2020	Topological obstructions in neural networks learning by Serguei Barannikov et al
12-30-2020	Ensembles of Localised Models for Time Series Forecasting by Rakshitha Godahewa et al
12-29-2020	Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning by Zi Wang et al
12-31-2020	xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links by Zhen Han et al
12-29-2020	Drift-Aware Multi-Memory Model for Imbalanced Data Streams by Amir Abolfazli et al
12-31-2020	Deep Graph Generators: A Survey by Faezeh Faez et al
12-31-2020	Searching a Raw Video Database using Natural Language Queries by Sriram Krishna et al
12-30-2020	SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring by Hui Feng et al
12-29-2020	Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories by Mikhail Genkin et al
12-31-2020	Bayesian Federated Learning over Wireless Networks by Seunghoon Lee et al
12-31-2020	A Constant-time Adaptive Negative Sampling by Shabnam Daghaghi et al
12-31-2020	Towards Zero-Shot Knowledge Distillation for Natural Language Processing by Ahmad Rashid et al
12-31-2020	Accelerating ODE-Based Neural Networks on Low-Cost FPGAs by Hirohisa Watanabe et al
12-29-2020	Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps by Tri Dao et al
12-31-2020	Quantitative Evaluations on Saliency Methods: An Experimental Study by Xiao-Hui Li et al
12-30-2020	Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis by Jose A. Gonzalez-Lopez et al
12-31-2020	Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup by Han Shen et al
12-29-2020	Denoising quantum states with Quantum Autoencoders -- Theory and Applications by Tom Achache et al
12-29-2020	Improving Adversarial Robustness in Weight-quantized Neural Networks by Chang Song et al
12-31-2020	Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification by Joshua Peeples et al
12-29-2020	AttrE2vec: Unsupervised Attributed Edge Representation Learning by Piotr Bielak et al
12-31-2020	Automatic Historical Feature Generation through Tree-based Method in Ads Prediction by Hongjian Wang et al
12-31-2020	Timely Communication in Federated Learning by Baturalp Buyukates et al
12-31-2020	Why do classifier accuracies show linear trends under distribution shift? by Horia Mania et al
12-31-2020	Continuity of Generalized Entropy and Statistical Learning by Aolin Xu
12-31-2020	PFL-MoE: Personalized Federated Learning Based on Mixture of Experts by Binbin Guo et al
12-31-2020	Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings by Kiran Ramnath et al
12-30-2020	Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks by Debamita Ghosh et al
12-30-2020	DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data by Erfan Pakdamanian et al
12-31-2020	The Sample Complexity of Robust Covariance Testing by Ilias Diakonikolas et al
12-31-2020	An Online Algorithm for Maximum-Likelihood Quantum State Tomography by Chien-Ming Lin et al
12-29-2020	Twin Neural Network Regression by Sebastian J. Wetzel et al
12-31-2020	Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations by Rahman Salim Zengin et al
12-31-2020	Robust Data-Driven Error Compensation for a Battery Model by Philipp Gesner et al
12-31-2020	I/O Lower Bounds for Auto-tuning of Convolutions in CNNs by Xiaoyang Zhang et al
12-31-2020	Coded Machine Unlearning by Nasser Aldaghri et al
12-31-2020	Flexible model composition in machine learning and its implementation in MLJ by Anthony D. Blaom et al
12-30-2020	Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning by Mingqi Yuan et al
12-31-2020	Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits by Matthew Groves et al
12-29-2020	Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning by Le Yu et al

12-31-2020	Robust Asymmetric Learning in POMDPs by Andrew Warrington et al
12-31-2020	Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization by Thomas Y. Hou et al
12-29-2020	With False Friends Like These, Who Can Have Self-Knowledge? by Lue Tao et al
12-29-2020	The Price is (Probably) Right: Learning Market Equilibria from Samples by Omer Lev et al
12-30-2020	A Maximal Correlation Approach to Imposing Fairness in Machine Learning by Joshua Lee et al
12-31-2020	Likelihood Ratio Exponential Families by Rob Brekelmans et al
12-29-2020	Dynamic Graph-Based Anomaly Detection in the Electrical Grid by Shimiao Li et al
12-31-2020	Good practices for Bayesian Optimization of high dimensional structured spaces by Eero Siivola et al
12-29-2020	SGD Distributional Dynamics of Three Layer Neural Networks by Victor Luo et al
12-29-2020	Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks by Jindong Han et al
12-30-2020	An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain by Paul Grouchy et al
12-30-2020	Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System by M. H. Rahman et al
12-30-2020	Adaptive filters for the moving target indicator system by Boris N. Oreshkin
12-29-2020	Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity by Jianghao Shen et al
12-31-2020	Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis by Atsushi Nitanda et al
12-29-2020	Statistical Formulas for F Measures by Wenxin Jiang
12-30-2020	Similarity Classification of Public Transit Stations by Hannah Bast et al
12-31-2020	CADA: Communication-Adaptive Distributed Adam by Tianyi Chen et al
12-29-2020	An extension of the angular synchronization problem to the heterogeneous setting by Mihai Cucuringu et al
12-29-2020	Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients by Chris Cundy et al
12-29-2020	Improved Sample Complexity for Incremental Autonomous Exploration in MDPs by Jean Tarbouriech et al
12-29-2020	Adaptive Graph Diffusion Networks with Hop-wise Attention by Chuxiong Sun et al
12-30-2020	Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes by Giorgio Visani et al
12-30-2020	Stack-based Buffer Overflow Detection using Recurrent Neural Networks by William Arild Dahl et al
12-29-2020	BayesCard: A Unified Bayesian Framework for Cardinality Estimation by Ziniu Wu et al
12-29-2020	Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification by Wei Vivian Li et al
12-30-2020	A Novel Resampling Technique for Imbalanced Dataset Optimization by Ivan Letteri et al
12-29-2020	Learning Adversarial Markov Decision Processes with Delayed Feedback by Tal Lancewicki et al
12-30-2020	Provably Training Neural Network Classifiers under Fairness Constraints by You-Lin Chen et al
12-30-2020	Optimal trees selection for classification via out-of-bag assessment and sub-bagging by Zardad Khan et al
12-29-2020	Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model by Chen ZhiYuan et al
12-29-2020	Unsupervised Real Time Prediction of Faults Using the Support Vector Machine by Zhiyuan Chen et al
12-29-2020	Elastic Net based Feature Ranking and Selection by Shaode Yu et al
12-30-2020	Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training by Mario Geiger et al
12-30-2020	Fast covariance parameter estimation of spatial Gaussian process models using neural networks by Florian Gerber et al
12-29-2020	Decentralized Control with Graph Neural Networks by Fernando Gama et al
12-30-2020	Simplifying Impact Prediction for Scientific Articles by Thanasis Vergoulis et al
12-30-2020	Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability by Sangho Yeo et al