Thread by @stephenwithavee

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?!

Data-Driven Offline Optimization For Architecting Hardware Accelerators

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Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics

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CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows

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An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults

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Generating Multivariate Load States Using a Conditional Variational Autoencoder

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ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies

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Cortico-cerebellar networks as decoupling neural interfaces

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Merging Two Cultures: Deep and Statistical Learning

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DQC: a Python program package for Differentiable Quantum Chemistry

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The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks

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Game Redesign in No-regret Game Playing

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Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops

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Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications

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FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks

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On the Regularization of Autoencoders

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Guess what? You can boost Federated Learning for free

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MANDERA: Malicious Node Detection in Federated Learning via Ranking

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Sinkformers: Transformers with Doubly Stochastic Attention

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Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality

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Predictive machine learning for prescriptive applications: a coupled training-validating approach

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GeneDisco: A Benchmark for Experimental Design in Drug Discovery

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Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer

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SpecTNT: a Time-Frequency Transformer for Music Audio

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Why Machine Learning Cannot Ignore Maximum Likelihood Estimation

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Towards the D-Optimal Online Experiment Design for Recommender Selection

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Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition

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Hate and Offensive Speech Detection in Hindi and Marathi

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The network signature of constellation line figures

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Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips

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Pandemic model with data-driven phase detection, a study using COVID-19 data

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Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction

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A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis

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Recommender Systems meet Mechanism Design

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Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R

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Persona Authentication through Generative Dialogue

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Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations

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Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review

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The Countable-armed Bandit with Vanishing Arms

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Quantifying Epistemic Uncertainty in Deep Learning

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Scalable Smartphone Cluster for Deep Learning

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AFEC: Active Forgetting of Negative Transfer in Continual Learning

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Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow

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SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

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Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field

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Understanding the World Through Action

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Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning

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Least Square Calibration for Peer Review

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Mixture-of-Variational-Experts for Continual Learning

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Scientific Machine Learning Benchmarks

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Debiasing Credit Scoring using Evolutionary Algorithms

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DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

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No One Representation to Rule Them All: Overlapping Features of Training Methods

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Applications and Techniques for Fast Machine Learning in Science

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Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models

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Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders

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Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme

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Vaccine skepticism detection by network embedding

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Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm

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Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN

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DeepHelp: Deep Learning for Shout Crisis Text Conversations

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CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks

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Emulation of physical processes with Emukit

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EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?

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Robust Learning of Physics Informed Neural Networks

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Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design

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MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning

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Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?

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Concepts for Automated Machine Learning in Smart Grid Applications

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Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising

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Technology Fitness Landscape and the Future of Innovation

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Generative Networks for Precision Enthusiasts

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EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs

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Hybrid physics-based and data-driven modeling with calibrated uncertainty for lithium-ion battery degradation diagnosis and prognosis

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Hierarchical Transformers Are More Efficient Language Models

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Diversity and Generalization in Neural Network Ensembles

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Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs

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Deep Explicit Duration Switching Models for Time Series

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Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias

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Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio

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(Almost) Free Incentivized Exploration from Decentralized Learning Agents

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The Value of Information When Deciding What to Learn

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Cluster-and-Conquer: A Framework For Time-Series Forecasting

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Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

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Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks

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Diversity Matters When Learning From Ensembles

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FedPrune: Towards Inclusive Federated Learning

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What Do We Mean by Generalization in Federated Learning?

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Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs

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TopicNet: Semantic Graph-Guided Topic Discovery

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GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series

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MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

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VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

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Fuzzy Generative Adversarial Networks

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Dynamic Review-based Recommenders

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Subtleties in the trainability of quantum machine learning models

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Combining Vagueness Detection with Deep Learning to Identify Fake News

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When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer

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A Sequence to Sequence Model for Extracting Multiple Product Name Entities from Dialog

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Towards Fine-Grained Reasoning for Fake News Detection

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Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models

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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

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Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures

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A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick

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Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework

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You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism

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L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization

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Stable Anderson Acceleration for Deep Learning

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An Operator Theoretic Perspective on Pruning Deep Neural Networks

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Exploration of Algorithmic Trading Strategies for the Bitcoin Market

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On the explainability of hospitalization prediction on a large COVID-19 patient dataset

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The chemical space of terpenes: insights from data science and AI

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Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning

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Understanding How Encoder-Decoder Architectures Attend

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How to boost autoencoders?

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Scatterbrain: Unifying Sparse and Low-rank Attention Approximation

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Analysis of memory consumption by neural networks based on hyperparameters

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Proceedings Third Workshop on Formal Methods for Autonomous Systems

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SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching

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ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving

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Auctions Between Regret-Minimizing Agents

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An N-gram based approach to auto-extracting topics from research articles

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Self-Initiated Open World Learning for Autonomous AI Agents

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Aware Adoption of AI: from Potential to Reusable Value

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Unraveling the hidden environmental impacts of AI solutions for environment

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C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks

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Contrastively Disentangled Sequential Variational Autoencoder

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Chinese Traditional Poetry Generating System Based on Deep Learning

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Hierarchical Few-Shot Generative Models

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Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities

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De Novo Molecular Generation with Stacked Adversarial Model

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QuantifyML: How Good is my Machine Learning Model?

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TODSum: Task-Oriented Dialogue Summarization with State Tracking

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DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder

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Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and Marathi

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"So You Think You're Funny?": Rating the Humour Quotient in Standup Comedy

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Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning

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Local Explanations for Clinical Search Engine results

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CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning

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Normative Epistemology for Lethal Autonomous Weapons Systems

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Can Q-Learning be Improved with Advice?

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What Would Jiminy Cricket Do? Towards Agents That Behave Morally

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Think about it! Improving defeasible reasoning by first modeling the question scenario

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Quantum machine learning beyond kernel methods

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Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures

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Transportation Scenario Planning with Graph Neural Networks

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Relay Variational Inference: A Method for Accelerated Encoderless VI

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Towards More Generalizable One-shot Visual Imitation Learning

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Precise URL Phishing Detection Using Neural Networks

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Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control

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Automated Support for Unit Test Generation: A Tutorial Book Chapter

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DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning

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Geometric Transformer for End-to-End Molecule Properties Prediction

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Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

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AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning

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Bootstrapping Concept Formation in Small Neural Networks

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Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

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The Difficulty of Passive Learning in Deep Reinforcement Learning

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Dream to Explore: Adaptive Simulations for Autonomous Systems

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Emoji-based Co-attention Network for Microblog Sentiment Analysis

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Transfer learning with causal counterfactual reasoning in Decision Transformers

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Binarized ResNet: Enabling Automatic Modulation Classification at the resource-constrained Edge

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Predictive Geological Mapping with Convolution Neural Network Using Statistical Data Augmentation on a 3D Model

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V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL

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WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model

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Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem

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Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

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Telling Creative Stories Using Generative Visual Aids

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From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems

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Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review

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SIMCNN -- Exploiting Computational Similarity to Accelerate CNN Training in Hardware

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MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy

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Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas

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Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data

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Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization

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Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes

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Self-supervised EEG Representation Learning for Automatic Sleep Staging

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Explaining Latent Representations with a Corpus of Examples

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A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation

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Learning to Ground Multi-Agent Communication with Autoencoders

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Wide Neural Networks Forget Less Catastrophically

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Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution

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ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI

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SciCap: Generating Captions for Scientific Figures

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HDRVideo-GAN: Deep Generative HDR Video Reconstruction

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Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform

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CNN-based Omnidirectional Object Detection for HermesBot Autonomous Delivery Robot with Preliminary Frame Classification

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SCENIC: A JAX Library for Computer Vision Research and Beyond

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Illiterate DALL-E Learns to Compose

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Video-Data Pipelines for Machine Learning Applications

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Real-time, low-cost multi-person 3D pose estimation

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Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment

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EvoGAN: An Evolutionary Computation Assisted GAN

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Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network

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High Fidelity 3D Reconstructions with Limited Physical Views

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Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children

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1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021

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Explainable, automated urban interventions to improve pedestrian and vehicle safety

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Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation

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Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation

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BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

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Creating and Reenacting Controllable 3D Humans with Differentiable Rendering

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Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN

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Simple Dialogue System with AUDITED

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Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation

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PhotoWCT$^2$: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals

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"One-Shot" Reduction of Additive Artifacts in Medical Images

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Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network

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Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data

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GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment

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Automatic segmentation of novel coronavirus pneumonia lesions in CT images utilizing deep-supervised ensemble learning network

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Automated Scoring System of HER2 in Pathological Images under the Microscope

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Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images

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Generative Residual Attention Network for Disease Detection

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Circle Representation for Medical Object Detection

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Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution

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MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation

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Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition

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Face sketch to photo translation using generative adversarial networks

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A methodology for detection and localization of fruits in apples orchards from aerial images

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SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network

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A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark

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AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

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Perceptual Consistency in Video Segmentation

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Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition

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NAS-FCOS: Efficient Search for Object Detection Architectures

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Image-Based CLIP-Guided Essence Transfer

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Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network

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EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

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hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

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Age and Gender Prediction using Deep CNNs and Transfer Learning

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Deep Learning for UAV-based Object Detection and Tracking: A Survey

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A Distillation Learning Model of Adaptive Structural Deep Belief Network for AffectNet: Facial Expression Image Database

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LAE : Long-tailed Age Estimation

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Restore from Restored: Single-image Inpainting

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Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

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2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track

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MVT: Multi-view Vision Transformer for 3D Object Recognition

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STransGAN: An Empirical Study on Transformer in GANs

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Self-supervised similarity search for large scientific datasets

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RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network

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Image Magnification Network for Vessel Segmentation in OCTA Images

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An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight Magnetic Resonance Angiography Images Based On Attention 3D U-Net

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As if by magic: self-supervised training of deep despeckling networks with MERLIN

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Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data

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Spectral unmixing of Raman microscopic images of single human cells using Independent Component Analysis

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IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

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History Aware Multimodal Transformer for Vision-and-Language Navigation

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ViDA-MAN: Visual Dialog with Digital Humans

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IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition

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Self-Denoising Neural Networks for Few Shot Learning

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TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation

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Semantic Host-free Trojan Attack

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Cross-Region Building Counting in Satellite Imagery using Counting Consistency

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Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition

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Emotion recognition in talking-face videos using persistent entropy and neural networks

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BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network

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A Horizon Detection Algorithm for Maritime Surveillance

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YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs

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H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion

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Detecting speaking persons in video

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NeRV: Neural Representations for Videos

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MisConv: Convolutional Neural Networks for Missing Data

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QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks

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Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects

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Multilayer Lookahead: a Nested Version of Lookahead

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An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation

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PL-Net: Progressive Learning Network for Medical Image Segmentation

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TA-Net: Topology-Aware Network for Gland Segmentation

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Can't Fool Me: Adversarially Robust Transformer for Video Understanding

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Video-based fully automatic assessment of open surgery suturing skills

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Revisiting Batch Normalization

sciencewise.info/bookmarks/2110…

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

sciencewise.info/bookmarks/2110…

Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation

sciencewise.info/bookmarks/2110…

Smooth head tracking for virtual reality applications

sciencewise.info/bookmarks/2110…

From Image to Imuge: Immunized Image Generation

sciencewise.info/bookmarks/2110…

Denoised Non-Local Neural Network for Semantic Segmentation

sciencewise.info/bookmarks/2110…

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

sciencewise.info/bookmarks/2110…

Beyond Classification: Knowledge Distillation using Multi-Object Impressions

sciencewise.info/bookmarks/2110…

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition

sciencewise.info/bookmarks/2110…

CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters

sciencewise.info/bookmarks/2110…

ConAM: Confidence Attention Module for Convolutional Neural Networks

sciencewise.info/bookmarks/2110…

Traffic Forecasting on Traffic Moving Snippets

sciencewise.info/bookmarks/2110…

Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction

sciencewise.info/bookmarks/2110…

Separating Content and Style for Unsupervised Image-to-Image Translation

sciencewise.info/bookmarks/2110…

CBIR using Pre-Trained Neural Networks

sciencewise.info/bookmarks/2110…

Hand gesture detection in the hand movement test for the early diagnosis of dementia

sciencewise.info/bookmarks/2110…

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization

sciencewise.info/bookmarks/2110…

TMBuD: A dataset for urban scene building detection

sciencewise.info/bookmarks/2110…

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis

sciencewise.info/bookmarks/2110…

Improving Super-Resolution Performance using Meta-Attention Layers

sciencewise.info/bookmarks/2110…

Detecting Dementia from Speech and Transcripts using Transformers

sciencewise.info/bookmarks/2110…

E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches

sciencewise.info/bookmarks/2110…

The magnitude vector of images

sciencewise.info/bookmarks/2110…

Guided Evolution for Neural Architecture Search

sciencewise.info/bookmarks/2110…

Vision Transformer for Classification of Breast Ultrasound Images

sciencewise.info/bookmarks/2110…

SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation

sciencewise.info/bookmarks/2110…

BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation

sciencewise.info/bookmarks/2110…

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

sciencewise.info/bookmarks/2110…

3D Object Tracking with Transformer

sciencewise.info/bookmarks/2110…

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

sciencewise.info/bookmarks/2110…

Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers

sciencewise.info/bookmarks/2110…

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

sciencewise.info/bookmarks/2110…

Facial Emotion Recognition: A multi-task approach using deep learning

sciencewise.info/bookmarks/2110…

LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image

sciencewise.info/bookmarks/2110…

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

sciencewise.info/bookmarks/2110…

End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration

sciencewise.info/bookmarks/2110…

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

sciencewise.info/bookmarks/2110…

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution

sciencewise.info/bookmarks/2110…

XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer

sciencewise.info/bookmarks/2110…

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

sciencewise.info/bookmarks/2110…

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language

sciencewise.info/bookmarks/2110…

Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition

sciencewise.info/bookmarks/2110…

Wav2CLIP: Learning Robust Audio Representations From CLIP

sciencewise.info/bookmarks/2110…

Signal-Envelope: A C++ library with Python bindings for temporal envelope estimation

sciencewise.info/bookmarks/2110…

Controllable and Interpretable Singing Voice Decomposition via Assem-VC

sciencewise.info/bookmarks/2110…

ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease

sciencewise.info/bookmarks/2110…

Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding

sciencewise.info/bookmarks/2110…

Lhotse: a speech data representation library for the modern deep learning ecosystem

sciencewise.info/bookmarks/2110…

DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021

sciencewise.info/bookmarks/2110…

Unsupervised Source Separation By Steering Pretrained Music Models

sciencewise.info/bookmarks/2110…

Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit

sciencewise.info/bookmarks/2110…

Deep Learning For Prominence Detection In Children's Read Speech

sciencewise.info/bookmarks/2110…

Continuous Speech Separation with Recurrent Selective Attention Network

sciencewise.info/bookmarks/2110…

End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings

sciencewise.info/bookmarks/2110…

TorchAudio: Building Blocks for Audio and Speech Processing

sciencewise.info/bookmarks/2110…

VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge

sciencewise.info/bookmarks/2110…

A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth

sciencewise.info/bookmarks/2110…

Forecasting Financial Market Structure from Network Features using Machine Learning

sciencewise.info/bookmarks/2110…

Machine Learning in Finance-Emerging Trends and Challenges

sciencewise.info/bookmarks/2110…

Brownian Motion & The Stochastic Behaviour of Stocks

sciencewise.info/bookmarks/2110…

Embracing advanced AI/ML to help investors achieve success: Vanguard Reinforcement Learning for Financial Goal Planning

sciencewise.info/bookmarks/2110…

The Impact of the Coronavirus Pandemic on New York City Real Estate: First Evidence

sciencewise.info/bookmarks/2110…

Housing property rights and social integration of migrant population: based on the 2017 china migrants' dynamic survey

sciencewise.info/bookmarks/2110…

Towards Realistic Market Simulations: a Generative Adversarial Networks Approach

sciencewise.info/bookmarks/2110…

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information

sciencewise.info/bookmarks/2110…

Self-organised criticality in high frequency finance: the case of flash crashes

sciencewise.info/bookmarks/2110…

Learning New Auction Format by Bidders in Internet Display Ad Auctions

sciencewise.info/bookmarks/2110…

Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data

sciencewise.info/bookmarks/2110…

ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets

sciencewise.info/bookmarks/2110…

Risk and return prediction for pricing portfolios of non-performing consumer credit

sciencewise.info/bookmarks/2110…

Costly Trading

sciencewise.info/bookmarks/2110…

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