Papers
Sat 25 Sep 2021
76 papers
- Modelling the transition to a low-carbon energy supply
- CENN: Conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries
- Improved statistical machine translation using monolingual paraphrases
- Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims
- Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
- Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
- Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
- Auditing AI models for Verified Deployment under Semantic Specifications
- Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
- Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding
- AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
- ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
- Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion
- Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
- Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
- Contrastive Unpaired Translation using Focal Loss for Patch Classification
- Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search
- L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
- Coreference Resolution for the Biomedical Domain: A Survey
- Random Walk-steered Majority Undersampling
- Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
- Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data
- Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes
- Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
- MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
- Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis
- Self-Enhancing Multi-filter Sequence-to-Sequence Model
- Channel State Information Based Localization with Deep Learning
- Sorting through the noise: Testing robustness of information processing in pre-trained language models
- Multi-source Few-shot Domain Adaptation
- Model reduction for the material point method via an implicit neural representation of the deformation map
- Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
- Language Model Priming for Cross-Lingual Event Extraction
- A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
- TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
- Contrastive Learning for Mitochondria Segmentation
- Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
- A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
- DziriBERT: a Pre-trained Language Model for the Algerian Dialect
- Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
- TreeNet: A lightweight One-Shot Aggregation Convolutional Network
- Distributed Online Optimization with Byzantine Adversarial Agents
- Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
- Distribution-sensitive Information Retention for Accurate Binary Neural Network
- Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
- Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
- Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
- Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
- Under the Skin of Foundation NFT Auctions
- A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
- MC2-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
- Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network
- Multi-Modal Multi-Instance Learning for Retinal Disease Recognition
- Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts
- Learning Neural Templates for Recommender Dialogue System
- Finetuning Transformer Models to Build ASAG System
- A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
- Opacus: User-Friendly Differential Privacy Library in PyTorch
- Jointly Learning to Repair Code and Generate Commit Message
- Learning Interpretable BEV Based VIO without Deep Neural Networks
- Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
- Scalable deeper graph neural networks for high-performance materials property prediction
- Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
- FedProc: Prototypical Contrastive Federated Learning on Non-IID data
- BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
- Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
- Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation
- Label-Assemble: Leveraging Multiple Datasets with Partial Labels
- More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
- An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
- Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
- Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
- Long-Range Feature Propagating for Natural Image Matting
- Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
- Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
- Logical Credal Networks