Papers
Sun 19 Sep 2021
72 papers
- Artificial Intelligence in the Low-Level Realm -- A Survey
- Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning
- A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology
- Complementing the Linear-Programming Learning Experience with the Design and Use of Computerized Games: The Formula 1 Championship Game
- Towards Automatic Bias Detection in Knowledge Graphs
- Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
- Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation
- Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
- Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
- Robust Framework for COVID-19 Identification from a Multicenter Dataset of Chest CT Scans
- A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants' Performance: A Case of California ISO
- MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
- Conditional probing: measuring usable information beyond a baseline
- Unified and Multilingual Author Profiling for Detecting Haters
- UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
- Rethnicity: Predicting Ethnicity from Names
- ARCA23K: An audio dataset for investigating open-set label noise
- Initial Test of "BabyRobot" Behaviour on a Teleoperated Toy Substitution: Improving the Motor Skills of Toddlers
- Multiscale Manifold Warping
- Capsule networks with non-iterative cluster routing
- Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits
- Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)
- CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
- Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
- Topology, Convergence, and Reconstruction of Predictive States
- Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain
- Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes
- Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries
- Towards Zero-Label Language Learning
- Training Dynamic based data filtering may not work for NLP datasets
- Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks
- Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction
- DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
- Lifelong Robotic Reinforcement Learning by Retaining Experiences
- FST Morphological Analyser and Generator for Mapud"ungun
- Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
- Traffic-Net: 3D Traffic Monitoring Using a Single Camera
- Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
- CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
- Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
- An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets
- Locally-symplectic neural networks for learning volume-preserving dynamics
- A Study of the Generalizability of Self-Supervised Representations
- LODE: Deep Local Deblurring and A New Benchmark
- RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation
- Multi-Task Learning in Natural Language Processing: An Overview
- Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
- Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning
- ComicGAN: Text-to-Comic Generative Adversarial Network
- Do Long-Range Language Models Actually Use Long-Range Context?
- HPTQ: Hardware-Friendly Post Training Quantization
- What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
- A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling
- Low-resolution Human Pose Estimation
- Towards robustness under occlusion for face recognition
- DECORAS: detection and characterization of radio-astronomical sources using deep learning
- Towards Representation Learning for Atmospheric Dynamics
- Adversarial Training with Contrastive Learning in NLP
- Efficient Urban-scale Point Clouds Segmentation with BEV Projection
- Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics
- Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
- Model-Based Approach for Measuring the Fairness in ASR
- On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars
- Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
- Object Tracking by Jointly Exploiting Frame and Event Domain
- Improving Fairness for Data Valuation in Horizontal Federated Learning
- Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
- Dual Behavior Regularized Reinforcement Learning
- Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision
- Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
- Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection
- JEM++: Improved Techniques for Training JEM