Papers
Tue 2 Aug 2022
122 papers
- Active entailment encoding for explanation tree construction using parsimonious generation of hard negativesLLM reasoning → Knowledge- and tool-augmented reasoning
- Chemotaxis of sea urchin sperm cells through deep reinforcement learning
- Smart caching in a Data Lake for High Energy Physics analysis
- Economics of Semantic Communication System: An Auction Approach
- Semantic Data Augmentation based Distance Metric Learning for Domain Generalization
- A Screening Strategy for Structured Optimization Involving Nonconvex ℓq,p Regularization
- Texture features in medical image analysis: a survey
- BPMN4sML: A BPMN Extension for Serverless Machine Learning. Technology Independent and Interoperable Modeling of Machine Learning Workflows and their Serverless Deployment Orchestration
- OLLIE: Derivation-based Tensor Program Optimizer
- On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
- Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling
- Mates2Motion: Learning How Mechanical CAD Assemblies Work
- Deep Reinforcement Learning for Multi-Agent Interaction
- Robust RGB-D Fusion for Saliency Detection
- Debiasing Gender Bias in Information Retrieval Models
- Two-Stream Transformer Architecture for Long Video Understanding
- A Tighter Analysis of Spectral Clustering, and Beyond
- No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling
- Optimal Rates for Regularized Conditional Mean Embedding Learning
- Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
- Autonomous Agriculture Robot for Smart Farming
- Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
- Binary Classification with Positive Labeling Sources
- CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations
- Non-Line-of-Sight Tracking and Mapping with an Active Corner Camera
- Differentially Private Vertical Federated Clustering
- Recognizing and Extracting Cybersecurtity-relevant Entities from Text
- A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations
- Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations
- Curvature-informed multi-task learning for graph networks
- Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
- Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning
- Maximal Independent Vertex Set applied to Graph Pooling
- AI-driven Hypergraph Network of Organic Chemistry: Network Statistics and Applications in Reaction Classification
- CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
- Streaming-capable High-performance Architecture of Learned Image Compression Codecs
- UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
- Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
- Prompt-to-Prompt Image Editing with Cross Attention Control
- An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
- Enabling scalable clinical interpretation of ML-based phenotypes using real world data
- Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study
- Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
- ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
- Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data
- ferret: a Framework for Benchmarking Explainers on Transformers
- Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
- Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
- An Online Sparse Streaming Feature Selection Algorithm
- Lost in Space Marking
- Low-complexity CNNs for Acoustic Scene Classification
- The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
- CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods
- MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks
- DSR -- A dual subspace re-projection network for surface anomaly detection
- Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion
- UniRank: Unimodal Bandit Algorithm for Online Ranking
- MBSE analysis for energy sustainability improvement in manufacturing industry
- Unimodal Mono-Partite Matching in a Bandit Setting
- s-LIME: Reconciling Locality and Fidelity in Linear Explanations
- COMET: Coverage-guided Model Generation For Deep Learning Library Testing
- A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures
- Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
- IterMiUnet: A lightweight architecture for automatic blood vessel segmentation
- Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
- A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings
- Unravelling Interlanguage Facts via Explainable Machine Learning
- Physics-informed Deep Super-resolution for Spatiotemporal Data
- On the role of benchmarking data sets and simulations in method comparison studies
- A comment on Guo et al. [arXiv:2206.11228]
- AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
- Viskositas: Viscosity Prediction of Multicomponent Chemical Systems
- Connection Reduction of DenseNet for Image Recognition
- T4DT: Tensorizing Time for Learning Temporal 3D Visual Data
- A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation
- GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition
- BERT4Loc: BERT for Location -- POI Recommender System
- DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
- Multi-Module G2P Converter for Persian Focusing on Relations between Words
- The Face of Affective Disorders
- PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
- Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
- Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
- What can we Learn by Predicting Accuracy?
- A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models
- Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories
- Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
- Compound Density Networks for Risk Prediction using Electronic Health Records
- Joint Learning-based Causal Relation Extraction from Biomedical Literature
- Unified Normalization for Accelerating and Stabilizing Transformers
- BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
- Multilingual Coreference Resolution in Multiparty Dialogue
- Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
- To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
- Silo NLP's Participation at WAT2022
- Understanding the classes better with class-specific and rule-specific feature selection, and redundancy control in a fuzzy rule based framework
- Multiview Regenerative Morphing with Dual Flows
- In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components
- Automatic Classification of Bug Reports Based on Multiple Text Information and Reports' Intention
- Explicit Use of Fourier Spectrum in Generative Adversarial Networks
All 122
- Are Cluster Validity Measures (In)valid?
- A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images
- A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting
- Flood Prediction Using Machine Learning Models
- A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models
- Multi-Goal Multi-Agent Pickup and Delivery
- Optimal and Bounded-Suboptimal Multi-Goal Task Assignment and Path Finding
- Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks
- GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
- Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
- NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms
- Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features
- Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
- Making a Spiking Net Work: Robust brain-like unsupervised machine learning
- Analog Gated Recurrent Neural Network for Detecting Chewing Events
- Late Fusion Multi-view Clustering via Global and Local Alignment Maximization
- Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation
- Implicit Two-Tower Policies
- Curved Geometric Networks for Visual Anomaly Recognition
- A Note on Zeroth-Order Optimization on the Simplex
- Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
- Bayesian Variable Selection in a Million Dimensions