Papers
Sun 30 Jan 2022
86 papers
- A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas
- Existence and perception as the basis of AGI (Artificial General Intelligence)
- Machine learning based modelling and optimization in hard turning of AISI D6 steel with newly developed AlTiSiN coated carbide tool
- A least squares support vector regression for anisotropic diffusion filtering
- Empirical complexity of comparator-based nearest neighbor descent
- 5G enabled Mobile Edge Computing security for Autonomous Vehicles
- Riemannian block SPD coupling manifold and its application to optimal transport
- The Geometry of Robust Value Functions
- PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
- Compositionality as Lexical Symmetry
- Provable Domain Generalization via Invariant-Feature Subspace Recovery
- Grammatical cues to subjecthood are redundant in a majority of simple clauses across languages
- Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection
- Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
- COIN++: Neural Compression Across Modalities
- Aggregating Global Features into Local Vision Transformer
- Training and Evaluating a Jupyter Notebook Data Science Assistant
- Learning Optimal Topology for Ad-hoc Robot Networks
- Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks
- Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers
- Cryptocurrency Valuation: An Explainable AI Approach
- Learning Collective Action under Risk Diversity
- A Dataset for Medical Instructional Video Classification and Question Answering
- N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
- Computational Metacognition
- A Theoretical Comparison of Graph Neural Network Extensions
- Discovering Invariant Rationales for Graph Neural Networks
- Anticipation-Free Training for Simultaneous Machine Translation
- Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
- AI-Augmented Business Process Management Systems: A Research Manifesto
- Fast Monte-Carlo Approximation of the Attention Mechanism
- Deep Non-Crossing Quantiles through the Partial Derivative
- Potential destination discovery for low predictability individuals based on knowledge graph
- Graph Representation Learning via Aggregation Enhancement
- Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
- Word Segmentation and Morphological Parsing for Sanskrit
- Over-smoothing Effect of Graph Convolutional Networks
- Comprehensive Saliency Fusion for Object Co-segmentation
- OptG: Optimizing Gradient-driven Criteria in Network Sparsity
- Autoencoding Hyperbolic Representation for Adversarial Generation
- ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data
- A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms
- Contrastive Learning from Demonstrations
- A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
- Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
- Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images
- Generalizing similarity in noisy setups: the DIBS phenomenon
- Recognition of Implicit Geographic Movement in Text
- Co-Regularized Adversarial Learning for Multi-Domain Text Classification
- Training Thinner and Deeper Neural Networks: Jumpstart Regularization
- Part of Speech Tagging (POST) of a Low-resource Language using another Language (Developing a POS-Tagged Lexicon for Kurdish (Sorani) using a Tagged Persian (Farsi) Corpus)
- SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
- GRPE: Relative Positional Encoding for Graph Transformer
- TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
- Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
- Practical Noise Simulation for RGB Images
- Self-Supervised Moving Vehicle Detection from Audio-Visual Cues
- MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
- Bayesian Optimization For Multi-Objective Mixed-Variable Problems
- Improving Robustness by Enhancing Weak Subnets
- RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures
- Implicit Regularization Towards Rank Minimization in ReLU Networks
- Approximate Bayesian Computation Based on Maxima Weighted Isolation Kernel Mapping
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
- FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
- Do We Need to Penalize Variance of Losses for Learning with Label Noise?
- AutoSNN: Towards Energy-Efficient Spiking Neural Networks
- No-Regret Learning in Time-Varying Zero-Sum Games
- TPC: Transformation-Specific Smoothing for Point Cloud Models
- Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
- Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search
- Stochastic Neural Networks with Infinite Width are Deterministic
- A Frustratingly Simple Approach for End-to-End Image Captioning
- Faster Convergence of Local SGD for Over-Parameterized Models
- Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
- You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
- Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning
- Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
- A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation
- DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning
- Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
- Why the Rich Get Richer? On the Balancedness of Random Partition Models
- Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach
- Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches
- Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
- Coordinate Descent Methods for Fractional Minimization