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                        Predicting Mood Disorder Symptoms with Remotely
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                        Detecting Attacks on IoT Devices using Featureless
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                        A Study of Joint Graph Inference and Forecasting
                    
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                        Coordinate Descent Methods for DC Minimization
                    
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                        A Survey on Machine Learning Techniques for Auto
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                        Effective and interpretable dispatching rules for
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                        Revisiting Recursive Least Squares for Training Deep
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                        Cross DQN: Cross Deep Q Network for Ads Allocation in
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                        Citizen centric optimal electric vehicle charging
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                        Online Learning for Cooperative Multi-Player
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                        Powering Comparative Classification with Sentiment
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                        Unfolding Projection-free SDP Relaxation of Binary
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                        Mapping Research Topics in Software Testing: A
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                        Instance-dependent Label-noise Learning under a
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                        Recommend for a Reason: Unlocking the Power of
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                        Forward and Inverse models in HCI:Physical simulation
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                        On the space of coefficients of a Feed Forward Neural
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                        Efficient Locally Optimal Number Set Partitioning for
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                        Deep Learning for Multi-View Ultrasonic Image Fusion
                    
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                        Higher Order Kernel Mean Embeddings to Capture
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                        Where Did You Learn That From? Surprising Effectiveness
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                        Constants of Motion: The Antidote to Chaos in
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                        Cartography Active Learning
                    
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                        Deciphering Environmental Air Pollution with Large
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                        Understanding Model Drift in a Large Cellular Network
                    
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                        Initialization for Nonnegative Matrix Factorization: a
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                        Axial multi-layer perceptron architecture for automatic
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                        Improving Phenotype Prediction using Long-Range
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                        Inverse design of 3d molecular structures with
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                        Artificial Text Detection via Examining the Topology of
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                    09-08-2021
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                    09-09-2021
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                        Multi-granularity Textual Adversarial Attack with
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                        Supervising the Decoder of Variational Autoencoders to
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                        TENET: Temporal CNN with Attention for Anomaly
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                        AutoSmart: An Efficient and Automatic Machine Learning
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                        Zhipeng Luo
                    
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                        Dubhe: Towards Data Unbiasedness with Homomorphic
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                        Shulai Zhang
                    
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                        Deep Reinforcement Learning for Equal Risk Pricing and
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                        Saeed Marzban
                    
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                        Jianjun Hu
                    
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                        Optimal Reservoir Operations using Long Short-Term
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                        Asha Devi Singh
                    
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                        Simple Video Generation using Neural ODEs
                    
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                        David Kanaa
                    
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                        A robust approach for deep neural networks in presence
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                        Anabel Gómez-Ríos
                    
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                        GANSER: A Self-supervised Data Augmentation Framework
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                        Zhi Zhang
                    
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                        Bootstrapped Meta-Learning
                    
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                        Sebastian Flennerhag
                    
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                        PowerGym: A Reinforcement Learning Environment for
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                        Ting-Han Fan
                    
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                        Does Pretraining for Summarization Require Knowledge
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                        Saliency Guided Experience Packing for Replay in
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                        Juvenile state hypothesis: What we can learn from
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                    09-08-2021
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                        Popularity Adjusted Block Models are Generalized Random
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                        John Koo
                    
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                        On the estimation of discrete choice models to capture
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                        MetaXT: Meta Cross-Task Transfer between Disparate
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                        Quantum Machine Learning for Finance
                    
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                        Marco Pistoia
                    
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                        Fair Conformal Predictors for Applications in Medical
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                        Feature-based Individual Fairness in k-Clustering
                    
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                        SeDyT: A General Framework for Multi-Step Event
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                        Hongkuan Zhou
                    
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                        SPECTRA: Sparse Structured Text Rationalization
                    
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                        Is Attention Better Than Matrix Decomposition?
                    
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