Papers
Thu 6 May 2021
141 papers
- Membership Inference Attacks on Deep Regression Models for NeuroimagingLLM safety and security → Federated unlearning and poisoning
- Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy
- A Survey of Knowledge Tracing: Models, Variants, and Applications
- Distribution Matching for Machine Teaching
- PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection
- Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket
- Reducing Streaming ASR Model Delay with Self Alignment
- Learning Controllable Content Generators
- Do language models learn typicality judgments from text?
- Graph-based Multilingual Product Retrieval in E-commerce Search
- LASR: Learning Articulated Shape Reconstruction from a Monocular Video
- On the logistical difficulties and findings of Jopara Sentiment Analysis
- Understanding Catastrophic Overfitting in Adversarial Training
- Exact Acceleration of K-Means++ and K-Means|
- Text similarity analysis for evaluation of descriptive answers
- Hone as You Read: A Practical Type of Interactive Summarization
- SkyCam: A Dataset of Sky Images and their Irradiance values
- Q-Match: Iterative Shape Matching via Quantum Annealing
- Aligning Subtitles in Sign Language Videos
- Deep Polarization Imaging for 3D shape and SVBRDF Acquisition
- A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity
- Contextual Bandits with Sparse Data in Web setting
- Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
- Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs
- Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
- Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
- Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations
- A Unifying and Canonical Description of Measure-Preserving Diffusions
- Stylistic Analysis of the French Presidential Speeches: Is Macron really different?
- KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
- Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis
- The layer-wise L1 Loss Landscape of Neural Nets is more complex around local minima
- Pathloss modeling for in-body optical wireless communications
- Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments
- Semidefinite Programming for Community Detection with Side Information
- Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model
- Multi-Perspective LSTM for Joint Visual Representation Learning
- Object-centric Video Prediction without Annotation
- Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
- Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation
- ACORN: Adaptive Coordinate Networks for Neural Scene Representation
- The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
- A probabilistic model for missing traffic volume reconstruction based on data fusion
- Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation
- Computer-Aided Design as Language
- Neural Algorithmic Reasoning
- Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
- On the Ethical Limits of Natural Language Processing on Legal Text
- Introducing Information Retrieval for Biomedical Informatics Students
- Pose-Guided Sign Language Video GAN with Dynamic Lambda
- Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
- Digital Voodoo Dolls
- What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
- Solve routing problems with a residual edge-graph attention neural network
- SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
- CrossWalk: Fairness-enhanced Node Representation Learning
- Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
- Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks
- Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
- MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions
- Learning to Perturb Word Embeddings for Out-of-distribution QA
- A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
- A 2.5D Vehicle Odometry Estimation for Vision Applications
- SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation
- Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance Measures
- A Framework of Explanation Generation toward Reliable Autonomous Robots
- VideoLT: Large-scale Long-tailed Video Recognition
- Explainable Autonomous Robots: A Survey and Perspective
- Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification
- A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors
- Cascade Image Matting with Deformable Graph Refinement
- Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
- Estimating Presentation Competence using Multimodal Nonverbal Behavioral Cues
- Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
- Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions
- A Novel Falling-Ball Algorithm for Image Segmentation
- Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices
- GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
- Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)
- Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles
- Reliability Testing for Natural Language Processing Systems
- Bandit based centralized matching in two-sided markets for peer to peer lending
- FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting
- TABBIE: Pretrained Representations of Tabular Data
- Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City
- Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
- MCMC-driven importance samplers
- Local Relation Learning for Face Forgery Detection
- Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks
- Assessing Dialogue Systems with Distribution Distances
- A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
- Capturing the diversity of multilingual societies
- Machine Collaboration
- Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
- Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
- Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems
- Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
- Unsupervised Visual Representation Learning by Tracking Patches in Video
- SGG: Learning to Select, Guide, and Generate for Keyphrase Generation
- Bayesian Active Learning by Disagreements: A Geometric Perspective
All 141
- Distribution Awareness for AI System Testing
- (ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment
- Neural graphical modelling in continuous-time: consistency guarantees and algorithms
- Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge
- Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU
- Federated Face Recognition
- Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
- Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
- High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
- Towards General Natural Language Understanding with Probabilistic Worldbuilding
- A Unified Pre-training Framework for Conversational AI
- MAFER: a Multi-resolution Approach to Facial Expression Recognition
- A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
- Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
- XeroAlign: Zero-Shot Cross-lingual Transformer Alignment
- Generalized Multimodal ELBO
- Point Cloud Audio Processing
- Relative stability toward diffeomorphisms indicates performance in deep nets
- Body Meshes as Points
- PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation
- Development of a Fast and Robust Gaze Tracking System for Game Applications
- Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
- Learning Skeletal Articulations with Neural Blend Shapes
- DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
- Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
- Weakly Supervised Action Selection Learning in Video
- Towards Novel Target Discovery Through Open-Set Domain Adaptation
- Inverting Generative Adversarial Renderer for Face Reconstruction
- Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
- A Unified Transferable Model for ML-Enhanced DBMS
- Person Retrieval in Surveillance Using Textual Query: A Review
- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
- Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
- Spatio-Temporal Matching for Siamese Visual Tracking
- In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery
- SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery
- Exploring Explicit and Implicit Visual Relationships for Image Captioning
- Security Vulnerability Detection Using Deep Learning Natural Language Processing
- Automated Primary Hyperparathyroidism Screening with Neural Networks
- Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
- A Geometric Analysis of Neural Collapse with Unconstrained Features