Papers
Sat 4 Sep 2021
68 papers
- Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering
- Super-resolution data assimilation
- Multi-modal Representation Learning for Video Advertisement Content Structuring
- Semantics-Guided Contrastive Network for Zero-Shot Object detection
- LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
- Real-World Adversarial Examples involving Makeup Application
- A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation
- Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization
- On the Out-of-distribution Generalization of Probabilistic Image Modelling
- FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
- Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
- Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
- On the ability of monolingual models to learn language-agnostic representations
- Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
- Weakly Supervised Relative Spatial Reasoning for Visual Question Answering
- ISyNet: Convolutional Neural Networks design for AI accelerator
- Audio-Visual Transformer Based Crowd Counting
- A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations
- Training Graph Neural Networks by Graphon Estimation
- Sparse Spatial Attention Network for Semantic Segmentation
- Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
- Estimating Categorical Counterfactuals via Deep Twin Networks
- Robust fine-tuning of zero-shot models
- Barycentric-alignment and reconstruction loss minimization for domain generalization
- Uncovering the Limits of Text-based Emotion Detection
- Fast Image-Anomaly Mitigation for Autonomous Mobile Robots
- Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke
- Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging
- Moving Object Detection for Event-based Vision using k-means Clustering
- Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
- Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
- Customer 360-degree Insights in Predicting Chronic Diabetes
- Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
- Spatiotemporal Inconsistency Learning for DeepFake Video Detection
- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks
- Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
- Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
- On robustness of generative representations against catastrophic forgetting
- A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset
- Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
- RAMA: A Rapid Multicut Algorithm on GPU
- OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images
- GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
- RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions
- Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
- Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
- Representation Learning for Efficient and Effective Similarity Search and Recommendation
- Stimuli-Aware Visual Emotion Analysis
- On Faster Convergence of Scaled Sign Gradient Descent
- Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
- A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
- PR-Net: Preference Reasoning for Personalized Video Highlight Detection
- Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
- On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games
- Node Feature Kernels Increase Graph Convolutional Network Robustness
- Model retraining and information sharing in a supply chain with long-term fluctuating demands
- Automata for dynamic answer set solving: Preliminary report
- MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
- To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
- Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
- SEC4SR: A Security Analysis Platform for Speaker Recognition
- Effective user intent mining with unsupervised word representation models and topic modelling
- Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
- An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction
- Data Augmentation for Cross-Domain Named Entity Recognition
- Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models
- Assessing the Performance of Online Students -- New Data, New Approaches, Improved Accuracy