Papers
Sat 24 Jul 2021
56 papers
- The Impact of Negative Sampling on Contrastive Structured World ModelsWorld models → Latent dynamics models and model-based RL
- Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
- MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation
- Modifications of FastICA in Convolutive Blind Source Separation
- Personalized Image Semantic Segmentation
- Significance of Speaker Embeddings and Temporal Context for Depression Detection
- A Signal Detection Scheme Based on Deep Learning in OFDM Systems
- A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
- Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions
- Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation
- Adversarial training may be a double-edged sword
- Rank & Sort Loss for Object Detection and Instance Segmentation
- Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
- Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
- Inference of collective Gaussian hidden Markov models
- Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation
- Stress Test Evaluation of Biomedical Word Embeddings
- Hand Image Understanding via Deep Multi-Task Learning
- Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
- An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
- Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems
- Self-Conditioned Probabilistic Learning of Video Rescaling
- Clustering by Maximizing Mutual Information Across Views
- Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
- ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos
- Differentiable Allophone Graphs for Language-Universal Speech Recognition
- Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
- Multi-Label Image Classification with Contrastive Learning
- Discrete Denoising Flows
- FedLab: A Flexible Federated Learning Framework
- LAConv: Local Adaptive Convolution for Image Fusion
- Automatic tempered posterior distributions for Bayesian inversion problems
- Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
- A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
- Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
- Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling
- Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
- Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions
- Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
- X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
- Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network
- The USYD-JD Speech Translation System for IWSLT 2021
- Going Deeper into Semi-supervised Person Re-identification
- MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
- Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support
- On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
- Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
- Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis
- Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions
- Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection
- Cycled Compositional Learning between Images and Text
- Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
- μDARTS: Model Uncertainty-Aware Differentiable Architecture Search
- Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings
- TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos