Papers
Fri 7 May 2021
129 papers
- SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of ExpertsMixture-of-experts → Multimodal MoE models
- Imitation Learning via Simultaneous Optimization of Policies and Auxiliary TrajectoriesOffline RL and imitation learning from data → Imitation learning methods
- Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
- Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
- An Extensive Analytical Approach on Human Resources using Random Forest Algorithm
- Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
- The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
- A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning
- Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
- Generative Adversarial Registration for Improved Conditional Deformable Templates
- Apply Artificial Neural Network to Solving Manpower Scheduling Problem
- An Intelligent Model for Solving Manpower Scheduling Problems
- Pareto-Optimal Quantized ResNet Is Mostly 4-bit
- SimJEB: Simulated Jet Engine Bracket Dataset
- Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving
- Scalable Projection-Free Optimization
- Test Suites as a Source of Training Data for Static Analysis Alert Classifiers
- Understanding by Understanding Not: Modeling Negation in Language Models
- Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
- Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
- The iWildCam 2021 Competition Dataset
- Human-Aided Saliency Maps Improve Generalization of Deep Learning
- Uniform Convergence, Adversarial Spheres and a Simple Remedy
- Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
- Measuring and Increasing Context Usage in Context-Aware Machine Translation
- A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks
- Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia
- Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
- Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
- Kernel Two-Sample Tests for Manifold Data
- Deep Learning Hamiltonian Monte Carlo
- Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference
- Using reinforcement learning to design an AI assistantfor a satisfying co-op experience
- Interpretable machine learning for high-dimensional trajectories of aging health
- A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect
- ResMLP: Feedforward networks for image classification with data-efficient training
- Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
- Double-matched matrix decomposition for multi-view data
- Hierarchical Graph Neural Networks
- Executable Interval Temporal Logic Specifications
- Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence
- Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
- What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
- Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method
- Design principles for a hybrid intelligence decision support system for business model validation
- The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
- Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers
- Adapting by Pruning: A Case Study on BERT
- Foreground-guided Facial Inpainting with Fidelity Preservation
- Exploring Instance Relations for Unsupervised Feature Embedding
- Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
- Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows
- Are Pre-trained Convolutions Better than Pre-trained Transformers?
- Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
- Geometric convergence of elliptical slice sampling
- LINN: Lifting Inspired Invertible Neural Network for Image Denoising
- Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media
- A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks
- A Hybrid Architecture for Federated and Centralized Learning
- Order in the Court: Explainable AI Methods Prone to Disagreement
- Solving the Workflow Satisfiability Problem using General Purpose Solvers
- Energy-Based Anomaly Detection and Localization
- LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
- Towards Real-World Category-level Articulation Pose Estimation
- MOTR: End-to-End Multiple-Object Tracking with Transformer
- Adaptive Focus for Efficient Video Recognition
- VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
- A Grounded Approach to Modeling Generic Knowledge Acquisition
- Network Pruning That Matters: A Case Study on Retraining Variants
- An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)
- A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
- Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
- ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
- Use of High Dimensional Modeling for automatic variables selection: the best path algorithm
- Reward prediction for representation learning and reward shaping
- FedGL: Federated Graph Learning Framework with Global Self-Supervision
- The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter
- Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification
- Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
- Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
- CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts
- Diffusion Mechanism in Residual Neural Network: Theory and Applications
- Pairwise Fairness for Ordinal Regression
- More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
- A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches
- AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
- An Intelligent Passive Food Intake Assessment System with Egocentric Cameras
- Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
- Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
- Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
- AI in (and for) Games
- Neural 3D Scene Compression via Model Compression
- Contrastive Learning for Unsupervised Image-to-Image Translation
- Laplace Matching for fast Approximate Inference in Latent Gaussian Models
- Learning Shared Semantic Space for Speech-to-Text Translation
- An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
- Probabilistic Visual Place Recognition for Hierarchical Localization
- An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics
- Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
- Toward Interactive Modulation for Photo-Realistic Image Restoration
All 129
- A Survey of Data Augmentation Approaches for NLP
- NTIRE 2021 Challenge on Perceptual Image Quality Assessment
- SpeechNet: A Universal Modularized Model for Speech Processing Tasks
- Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
- The s-value: evaluating stability with respect to distributional shifts
- Deep reinforcement learning-designed radiofrequency waveform in MRI
- Self-paced Resistance Learning against Overfitting on Noisy Labels
- Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities
- PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems
- Few-Shot Learning for Image Classification of Common Flora
- Salient Objects in Clutter
- Informational Design of Dynamic Multi-Agent System
- fAshIon after fashion: A Report of AI in Fashion
- Faster and Simpler Siamese Network for Single Object Tracking
- Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
- A Multivariate Density Forecast Approach for Online Power System Security Assessment
- GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
- Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
- Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
- Lambek pregroups are Frobenius spiders in preorders
- ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
- Towards Sharper Utility Bounds for Differentially Private Pairwise Learning
- Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning
- Efficient Masked Face Recognition Method during the COVID-19 Pandemic
- DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
- Structured dataset documentation: a datasheet for CheXpert
- BasisNet: Two-stage Model Synthesis for Efficient Inference
- A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
- Efficient Weight factorization for Multilingual Speech Recognition