Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:
1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!
1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!
An Economic Analysis on the Potential and Steady Growth of China: a Practice Based on the Dualistic System Economics in China
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Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling
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Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing
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A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles
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Financial Trading with Feature Preprocessing and Recurrent Reinforcement Learning
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An Alternative Approach to Evaluate American Options Price Using HJM Approach
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NORESQA -- A Framework for Speech Quality Assessment using Non-Matching References
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PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription
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Telehealthcare and Covid-19: A Noninvasive & Low Cost Invasive, Scalable and Multimodal Real-Time Smartphone Application for Early Diagnosis of SARS-CoV-2 Infection
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Utterance-level neural confidence measure for end-to-end children speech recognition
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Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-supervised Learning
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Improving Streaming Transformer Based ASR Under a Framework of Self-supervised Learning
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Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech
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Controllable cross-speaker emotion transfer for end-to-end speech synthesis
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Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
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Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization
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Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
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Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
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Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation
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Studying squeeze-and-excitation used in CNN for speaker verification
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Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
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Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
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Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition
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Large-vocabulary Audio-visual Speech Recognition in Noisy Environments
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Semi-Supervised Visual Representation Learning for Fashion Compatibility
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The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
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M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
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Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
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SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
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OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication
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Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset
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Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis
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A Machine Learning Framework for Automatic Prediction of Human Semen Motility
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Eformer: Edge Enhancement based Transformer for Medical Image Denoising
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R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
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FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition
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Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys
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Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
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Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
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PointManifoldCut: Point-wise Augmentation in the Manifold for Point Clouds
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MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection
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New Perspective on Progressive GANs Distillationfor One-class Novelty Detection
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FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
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DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather
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Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
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Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
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Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
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Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography
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A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images
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Luminance Attentive Networks for HDR Image and Panorama Reconstruction
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An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
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CropDefender: deep watermark which is more convenient to train and more robust against cropping
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Multi-modal Representation Learning for Video Advertisement Content Structuring
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Investigation of condominium building collapse in Surfside, Florida: a video feature tracking approach
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Open-World Active Learning with Stacking Ensemble for Self-Driving Cars
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Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
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Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
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Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
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Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization
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ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
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MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
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Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN
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Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image
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Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
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Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data
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On Pursuit of Designing Multi-modal Transformer for Video Grounding
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Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions
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Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
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The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning
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Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
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CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection
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Multiresolution Deep Implicit Functions for 3D Shape Representation
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U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab
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PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
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DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
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An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
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ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
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What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
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Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
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Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
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RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
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Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
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A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
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Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks
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A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
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The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
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WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
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Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
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Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation
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Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network
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A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
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Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
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CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
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Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
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Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
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Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment
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LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
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Face-NMS: A Core-set Selection Approach for Efficient Face Recognition
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CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization
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Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
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EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
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Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning
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Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
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Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
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Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network
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Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization
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A Column Streaming-Based Convolution Engine and Mapping Algorithm for CNN-based Edge AI accelerators
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"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
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Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs
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DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
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Synthesizing Policies That Account For Human Execution Errors Caused By StateAliasing In Markov Decision Processes
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Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
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Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
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Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
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EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
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Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
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Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
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DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles
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The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders
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Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents
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Deep hierarchical reinforcement agents for automated penetration testing
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Learning to Navigate Intersections with Unsupervised Driver Trait Inference
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Greenformer: Factorization Toolkit for Efficient Deep Neural Networks
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Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
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COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
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A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
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Improving Test Case Generation for REST APIs Through Hierarchical Clustering
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Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems
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MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
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Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
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Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization
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Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
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An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
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NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
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Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations
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Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
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Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint
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Vision-Aided Autonomous Navigation of Bipedal Robots in Height-Constrained Environments
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DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
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End-to-End Conversational Search for Online Shopping with Utterance Transfer
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Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
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Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems
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TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System
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HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
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Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
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Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning
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Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
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TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems
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How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search
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CounterNet: End-to-End Training of Counterfactual Aware Predictions
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Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
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Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension
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Predicting Users' Value Changes by the Friends' Influence from Social Media Usage
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PDBench: Evaluating Computational Methods for Protein Sequence Design
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OpenFed: An Open-Source Security and Privacy Guaranteed Federated Learning Framework
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Federated Learning of Molecular Properties in a Heterogeneous Setting
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Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
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What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation
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WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction
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Avengers Ensemble! Improving Transferability of Authorship Obfuscation
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PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching
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Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG
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Explainable Identification of Dementia from Transcripts using Transformer Networks
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A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence
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Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
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LM-Critic: Language Models for Unsupervised Grammatical Error Correction
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What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
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Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
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Neural Upscaling from Residue-level Protein Structure Networks to Atomistic Structure
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Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter
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Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
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Uniform Generalization Bounds for Overparameterized Neural Networks
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CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India
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Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
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Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
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RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
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Machine Learning for Naval Architecture, Ocean and Marine Engineering
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CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph
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EMVLight: A Decentralized Reinforcement Learning Framework for EfficientPassage of Emergency Vehicles
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Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
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Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
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Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
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Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
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FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
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MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
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Existence conditions for hidden feedback loops in online recommender systems
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Hybrid modeling of the human cardiovascular system using NeuralFMUs
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Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
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Inverse design of 3d molecular structures with conditional generative neural networks
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Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
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SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks
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Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
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FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
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Artificial Text Detection via Examining the Topology of Attention Maps
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KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
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Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
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