2021.3.22 Learning papers

03-16-2021	Deep learning: a statistical viewpoint by Peter L. Bartlett et al
03-17-2021	Learning to Resize Images for Computer Vision Tasks by Hossein Talebi et al
03-18-2021	Requirement Engineering Challenges for AI-intense Systems Development by Hans-Martin Heyn et al
03-17-2021	Training GANs with Stronger Augmentations via Contrastive Discriminator by Jongheon Jeong et al
03-18-2021	All NLP Tasks Are Generation Tasks: A General Pretraining Framework by Zhengxiao Du et al
03-17-2021	A Practical Guide to Multi-Objective Reinforcement Learning and Planning by Conor F. Hayes et al
03-18-2021	Large Scale Image Completion via Co-Modulated Generative Adversarial Networks by Shengyu Zhao et al
03-18-2021	Using latent space regression to analyze and leverage compositionality in GANs by Lucy Chai et al
03-16-2021	Toward Neural-Network-Guided Program Synthesis and Verification by Naoki Kobayashi et al
03-16-2021	Is it Enough to Optimize CNN Architectures on ImageNet? by Lukas Tuggener et al
03-16-2021	Contrastive Learning of Musical Representations by Janne Spijkervet et al
03-18-2021	Neural tensor contractions and the expressive power of deep neural quantum states by Or Sharir et al
03-16-2021	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling by Đorđe Miladinović et al
03-19-2021	ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases by Stéphane d'Ascoli et al
03-17-2021	OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs by Weihua Hu et al
03-18-2021	How I failed machine learning in medical imaging -- shortcomings and recommendations by Gaël Varoquaux et al
03-17-2021	DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R by Philipp Bach et al
03-18-2021	Refining Neural Networks with Compositional Explanations by Huihan Yao et al
03-18-2021	Modeling the Second Player in Distributionally Robust Optimization by Paul Michel et al
03-18-2021	Consistency-based Active Learning for Object Detection by Weiping Yu et al
03-18-2021	UNETR: Transformers for 3D Medical Image Segmentation by Ali Hatamizadeh et al
03-17-2021	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning by Yunbo Wang et al
03-17-2021	Value-aware Approximate Attention by Ankit Gupta et al
03-18-2021	Deep Online Correction for Monocular Visual Odometry by Jiaxin Zhang et al
03-18-2021	Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI by Reza Shirkavand et al
03-16-2021	Learning without gradient descent encoded by the dynamics of a neurobiological model by Vivek Kurien George et al
03-18-2021	Data-free mixed-precision quantization using novel sensitivity metric by Donghyun Lee et al
03-17-2021	The Invertible U-Net for Optical-Flow-free Video Interframe Generation by Saem Park et al
03-18-2021	MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels by Pablo Gómez et al
03-18-2021	The Low-Rank Simplicity Bias in Deep Networks by Minyoung Huh et al
03-17-2021	CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays by Emma Chen et al
03-18-2021	Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations by Pau Rodriguez et al
03-17-2021	Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset by Antonios Mamalakis et al
03-17-2021	Bias-Free FedGAN by Vaikkunth Mugunthan et al
03-17-2021	Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm by Lin Chen et al
03-18-2021	KoDF: A Large-scale Korean DeepFake Detection Dataset by Patrick Kwon et al
03-18-2021	Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training by Saurabh Sahu et al
03-17-2021	COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics by Ashkan Ebadi et al
03-17-2021	On the Whitney extension problem for near isometries and beyond by Steven B. Damelin
03-18-2021	Equivariant Filters for Efficient Tracking in 3D Imaging by Daniel Moyer et al
03-18-2021	Reading Isnt Believing: Adversarial Attacks On Multi-Modal Neurons by David A. Noever et al
03-18-2021	OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation by Bruno Artacho et al
03-17-2021	Set-to-Sequence Methods in Machine Learning: a Review by Mateusz Jurewicz et al
03-17-2021	Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection by Mazen Abdelfattah et al
03-18-2021	TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation by Samuel G. Müller et al
03-16-2021	Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition by Liam Schoneveld et al
03-17-2021	A deep learning theory for neural networks grounded in physics by Benjamin Scellier
03-17-2021	Towards Few-Shot Fact-Checking via Perplexity by Nayeon Lee et al
03-19-2021	Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms by Maryam Abdolali et al
03-17-2021	Machine Vision based Sample-Tube Localization for Mars Sample Return by Shreyansh Daftry et al
03-18-2021	Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces by Yubo Zhang et al
03-18-2021	Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning by Sebastian Curi et al
03-17-2021	Learning with Group Noise by Qizhou Wang et al
03-18-2021	Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences by Matthew B. A. McDermott et al
03-16-2021	Collapsible Linear Blocks for Super-Efficient Super Resolution by Kartikeya Bhardwaj et al
03-17-2021	Virtual Dress Swap Using Landmark Detection by Odar Zeynal et al
03-19-2021	Learning the Superpixel in a Non-iterative and Lifelong Manner by Lei Zhu et al
03-16-2021	Bio-inspired Robustness: A Review by Harshitha Machiraju et al
03-17-2021	Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study by Justus Bogner et al
03-19-2021	Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification by Yash Sharma et al
03-16-2021	Pros and Cons of GAN Evaluation Measures: New Developments by Ali Borji
03-16-2021	Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography by Hyungjin Chung et al
03-17-2021	Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss by Boxiang Dong et al
03-18-2021	A Probabilistic State Space Model for Joint Inference from Differential Equations and Data by Jonathan Schmidt et al
03-16-2021	In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning by Kanata Suzuki et al
03-18-2021	Approximation for Probability Distributions by Wasserstein GAN by Yihang Gao et al
03-17-2021	SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference by Javier Huertas-Tato et al
03-18-2021	Knowledge-Guided Object Discovery with Acquired Deep Impressions by Jinyang Yuan et al
03-17-2021	Gradient Projection Memory for Continual Learning by Gobinda Saha et al
03-16-2021	Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network by James Diffenderfer et al
03-16-2021	Graph Convolutional Network for Swahili News Classification by Alexandros Kastanos et al
03-18-2021	Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services by Sergio Martiradonna et al
03-16-2021	Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning by Namyeong Kwon et al
03-19-2021	Robustness via Cross-Domain Ensembles by Teresa Yeo et al
03-16-2021	Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data by Megha Kalia et al
03-18-2021	Optimal transport framework for efficient prototype selection by Karthik S. Gurumoorthy et al
03-18-2021	Lossless compression with state space models using bits back coding by James Townsend et al
03-17-2021	Evolutional Deep Neural Network by Yifan Du et al
03-19-2021	Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation by Nicholas Egan et al
03-16-2021	Unsupervised anomaly detection in digital pathology using GANs by Milda Pocevičiūtė et al
03-18-2021	Towards a Dimension-Free Understanding of Adaptive Linear Control by Juan C. Perdomo et al
03-17-2021	Decision Theoretic Bootstrapping by Peyman Tavallali et al
03-16-2021	Learning to Shape Rewards using a Game of Switching Controls by David Mguni et al
03-17-2021	Theoretical bounds on data requirements for the ray-based classification by Brian J. Weber et al
03-17-2021	Regularized Behavior Value Estimation by Caglar Gulcehre et al
03-18-2021	Noise Modulation: Let Your Model Interpret Itself by Haoyang Li et al
03-16-2021	Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones by Andrew P. Creagh et al
03-18-2021	Training image classifiers using Semi-Weak Label Data by Anxiang Zhang et al
03-18-2021	Top-m identification for linear bandits by Clémence Réda et al
03-17-2021	ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer by Lee-Hsun Hsieh et al
03-19-2021	Masked Conditional Random Fields for Sequence Labeling by Tianwen Wei et al
03-17-2021	An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit by Mineto Tsukada et al
03-19-2021	Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients by Yuqing Wang et al
03-18-2021	Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition by Bernardo B. Gatto et al
03-16-2021	WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting by Saeed Khaki et al
03-19-2021	Controllable Generation from Pre-trained Language Models via Inverse Prompting by Xu Zou et al
03-16-2021	Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet by Nisarg A. Shah et al
03-17-2021	Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition by Yaodong Yu et al
03-18-2021	Maximum Entropy Reinforcement Learning with Mixture Policies by Nir Baram et al
03-19-2021	MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels by Görkem Algan et al
03-19-2021	Bilinear Classes: A Structural Framework for Provable Generalization in RL by Simon S. Du et al
03-16-2021	Fairness-aware Outlier Ensemble by Haoyu Liu et al
03-17-2021	Quantitative Effectiveness Assessment and Role Categorization of Individual Units in Convolutional Neural Networks by Yang Zhao et al
03-18-2021	Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations by Carlos Ansotegui et al
03-17-2021	Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection by Dang Van Thin et al
03-19-2021	Toward Compact Deep Neural Networks via Energy-Aware Pruning by Seul-Ki Yeom et al
03-16-2021	Learned Gradient Compression for Distributed Deep Learning by Lusine Abrahamyan et al

03-19-2021	Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP by Takehiro Tottori et al
03-17-2021	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? by Nathan Inkawhich et al
03-18-2021	Domain Generalization using Ensemble Learning by Yusuf Mesbah et al
03-19-2021	Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline by Long Xie et al
03-19-2021	API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations by Ramin Shahbazi et al
03-19-2021	LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack by Ashkan Esmaeili et al
03-16-2021	Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers by Ashesh Chattopadhyay et al
03-19-2021	Cost-effective Deployment of BERT Models in Serverless Environment by Katarína Benešová et al
03-16-2021	Differentiable Learning Under Triage by Nastaran Okati et al
03-17-2021	Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction by Paul Koch et al
03-18-2021	Data driven algorithms for limited labeled data learning by Maria-Florina Balcan et al
03-16-2021	The Rise and Fall of Fake News sites: A Traffic Analysis by Manolis Chalkiadakis et al
03-19-2021	Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning by Kambiz Azarian et al
03-18-2021	Concentric Spherical GNN for 3D Representation Learning by James Fox et al
03-16-2021	Distributed Deep Learning Using Volunteer Computing-Like Paradigm by Medha Atre et al
03-19-2021	CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization by Arthur Moreau et al
03-17-2021	Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point by Francesca Meneghello et al
03-16-2021	The Influence of Dropout on Membership Inference in Differentially Private Models by Erick Galinkin
03-16-2021	Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge by Ashish Rana et al
03-17-2021	HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks by Zhou Xian et al
03-19-2021	Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring by Adam Katona et al
03-18-2021	Stride and Translation Invariance in CNNs by Coenraad Mouton et al
03-17-2021	TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain by Kai Wang et al
03-17-2021	Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules by Jeffrey Cheng et al
03-17-2021	Efficient Bayesian Optimization using Multiscale Graph Correlation by Takuya Kanazawa
03-18-2021	Pretraining the Noisy Channel Model for Task-Oriented Dialogue by Qi Liu et al
03-18-2021	Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence by Yang Guan et al
03-17-2021	Implicit Normalizing Flows by Cheng Lu et al
03-18-2021	ChronoR: Rotation Based Temporal Knowledge Graph Embedding by Ali Sadeghian et al
03-17-2021	Near Optimal Policy Optimization via REPS by Aldo Pacchiano et al
03-18-2021	TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation by Todd Huster et al
03-17-2021	Deep Learning based Extreme Heatwave Forecast by Valérian Jacques-Dumas et al
03-19-2021	SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems by Yuxuan Chen et al
03-18-2021	Naive Automated Machine Learning -- A Late Baseline for AutoML by Felix Mohr et al
03-17-2021	Inferred vs traditional personality assessment: are we predicting the same thing? by Pavel Novikov et al
03-17-2021	TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL by Clément Romac et al
03-19-2021	Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond by Xuhong Li et al
03-18-2021	Super-convergence and Differential Privacy: Training faster with better privacy guarantees by Osvald Frisk et al
03-19-2021	BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients by Yun Zhao et al
03-18-2021	Neural Networks for Semantic Gaze Analysis in XR Settings by Lena Stubbemann et al
03-18-2021	Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs by Yushan Liu et al
03-16-2021	Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition by Jonas Gonzalez-Billandon et al
03-19-2021	The Shape of Learning Curves: a Review by Tom Viering et al
03-19-2021	Landscape analysis for shallow ReLU neural networks: complete classification of critical points for affine target functions by Patrick Cheridito et al
03-16-2021	Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations by Marzieh Karimi-Haghighi et al
03-16-2021	Taming Wild Price Fluctuations: Monotone Stochastic Convex Optimization with Bandit Feedback by Jad Salem et al
03-16-2021	Learning to increase matching efficiency in identifying additional b-jets in the t¯tb¯btt¯bb¯ process by Cheongjae Jang et al
03-17-2021	A Survey on Spatio-temporal Data Analytics Systems by Md Mahbub Alam et al
03-17-2021	Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model by Agus Sudjianto et al
03-18-2021	HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark by Chaojian Li et al
03-18-2021	Data-Driven Wireless Communication Using Gaussian Processes by Kai Chen et al
03-17-2021	Sample-based Federated Learning via Mini-batch SSCA by Chencheng Ye et al
03-17-2021	Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages by Sampo Kuutti et al
03-17-2021	Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones by Roi Yehoshua et al
03-16-2021	Digital Peter: Dataset, Competition and Handwriting Recognition Methods by Mark Potanin et al
03-18-2021	Unsupervised Doppler Radar-Based Activity Recognition for e-healthcare by Yordanka Karayaneva et al
03-18-2021	Recent Advances in Deep Learning Techniques for Face Recognition by Md. Tahmid Hasan Fuad et al
03-17-2021	Human-Inspired Multi-Agent Navigation using Knowledge Distillation by Pei Xu et al
03-17-2021	Homomorphically Encrypted Linear Contextual Bandit by Evrard Garcelon et al
03-16-2021	Inclined Quadrotor Landing using Deep Reinforcement Learning by Jacob E. Kooi et al
03-16-2021	Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising by Vashist Avadhanula et al
03-18-2021	A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning by Stefano Savazzi et al
03-19-2021	Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation by Zhe Xie et al
03-19-2021	Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting by Razvan-Gabriel Cirstea et al
03-19-2021	Joint Parameter Discovery and Generative Modeling of Dynamic Systems by Gregory Barber et al
03-17-2021	Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation by Md Akmal Haidar et al
03-16-2021	SoK: Privacy-Preserving Collaborative Tree-based Model Learning by Sylvain Chatel et al
03-19-2021	Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach by Devendra Singh Dhami et al
03-19-2021	Enhancing Robustness of On-line Learning Models on Highly Noisy Data by Zilong Zhao et al
03-18-2021	The impact of using biased performance metrics on software defect prediction research by Jingxiu Yao et al
03-18-2021	Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles by Gabriel D. Cantareira et al
03-16-2021	Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis by Arun K. Sharma et al
03-18-2021	Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations by Frank Po-Chen Lin et al
03-18-2021	White Paper Machine Learning in Certified Systems by Hervé Delseny et al
03-16-2021	Deep Time Series Models for Scarce Data by Qiyao Wang et al
03-19-2021	PAMELI: A Meta-Algorithm for Computationally Expensive Multi-Objective Optimization Problems by Santiago Cuervo et al
03-17-2021	Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure by Alix Jean Santos et al
03-16-2021	SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN) by Tolulope A. Odetola et al
03-16-2021	Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design by Yuji Takubo et al
03-18-2021	Hidden Technical Debts for Fair Machine Learning in Financial Services by Chong Huang et al
03-18-2021	Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data by K. D. Humbird et al
03-19-2021	QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates by Tian Huang et al
03-18-2021	Learning to Schedule Heuristics in Branch-and-Bound by Antonia Chmiela et al
03-18-2021	On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems by Omid Gheibi et al
03-17-2021	Diversified Multiscale Graph Learning with Graph Self-Correction by Yuzhao Chen et al
03-19-2021	Prediction of progressive lens performance from neural network simulations by Alexander Leube et al
03-16-2021	Reweighting Augmented Samples by Minimizing the Maximal Expected Loss by Mingyang Yi et al
03-18-2021	Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons by Tamal Batabyal et al
03-16-2021	Intelligent colocation of HPC workloads by Felippe V. Zacarias et al
03-16-2021	Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties by Lisa Schut et al
03-16-2021	LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs by Cezar Sas et al
03-18-2021	S3M: Siamese Stack (Trace) Similarity Measure by Aleksandr Khvorov et al
03-16-2021	Learning Hyperbolic Representations of Topological Features by Panagiotis Kyriakis et al
03-19-2021	USTC-NELSLIP System Description for DIHARD-III Challenge by Yuxuan Wang et al
03-19-2021	Sparse Algorithms for Markovian Gaussian Processes by William J. Wilkinson et al
03-16-2021	ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data by Soumick Chatterjee et al
03-19-2021	AutoTune: Controller Tuning for High-Speed Flight by Antonio Loquercio et al
03-18-2021	Dynamic Kernel Matching for Non-conforming Data: A Case Study of T-cell Receptor Datasets by Jared Ostmeyer et al
03-16-2021	Lyapunov Barrier Policy Optimization by Harshit Sikchi et al
03-19-2021	Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning by Danny Weyns et al
03-16-2021	Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning by Manoj R. Rege et al
03-17-2021	IRLI: Iterative Re-partitioning for Learning to Index by Gaurav Gupta et al
03-17-2021	Improved, Deterministic Smoothing for L1 Certified Robustness by Alexander Levine et al
03-16-2021	Combining Planning and Learning of Behavior Trees for Robotic Assembly by Jonathan Styrud et al
03-18-2021	Inductive Inference in Supervised Classification by Ali Amiryousefi
03-18-2021	Generalizing Object-Centric Task-Axes Controllers using Keypoints by Mohit Sharma et al
03-18-2021	MARS: Markov Molecular Sampling for Multi-objective Drug Discovery by Yutong Xie et al
03-16-2021	Escaping Saddle Points in Distributed Newtons Method with Communication efficiency and Byzantine Resilience by Avishek Ghosh et al
03-18-2021	Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists by Filippo Lanubile et al