Papers
Sat 15 Jan 2022
80 papers
- Reasoning over Hybrid Chain for Table-and-Text Open Domain QALLM reasoning → Knowledge- and tool-augmented reasoning
- Analysis of Coronavirus Envelope Protein with Cellular Automata (CA) Model
- EXSeQETIC: Expert System to Support the Implementation of eQETIC Model
- Machine Learning for Food Review and Recommendation
- DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets
- A deep learning energy method for hyperelasticity and viscoelasticity
- Encoding large information structures in linear algebra and statistical models
- Chatbot Based Solution for Supporting Software Incident Management Process
- Characterizing Big Data Management
- Theoretical analysis and computation of the sample Frechet mean for sets of large graphs based on spectral information
- Addressing the Challenges of Cross-Lingual Hate Speech Detection
- ViTBIS: Vision Transformer for Biomedical Image Segmentation
- Recursive Least Squares Advantage Actor-Critic Algorithms
- Multi-level Second-order Few-shot Learning
- Towards Zero-shot Sign Language Recognition
- Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
- An Automatic Ontology Generation Framework with An Organizational Perspective
- Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets
- SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
- Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver Varieties
- Unobserved Local Structures Make Compositional Generalization Hard
- Treatment Effect Risk: Bounds and Inference
- Automatic Correction of Syntactic Dependency Annotation Differences
- Robust uncertainty estimates with out-of-distribution pseudo-inputs training
- StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
- Domain Adaptation via Bidirectional Cross-Attention Transformer
- Automatic Lexical Simplification for Turkish
- A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data
- Prototype Guided Network for Anomaly Segmentation
- Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired Simulation Approach
- Transferability in Deep Learning: A Survey
- SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images
- Deep Unified Representation for Heterogeneous Recommendation
- Smart Parking Space Detection under Hazy conditions using Convolutional Neural Networks: A Novel Approach
- Recent Progress in the CUHK Dysarthric Speech Recognition System
- Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
- UDC: Unified DNAS for Compressible TinyML Models
- Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition
- Physical Derivatives: Computing policy gradients by physical forward-propagation
- Multi-View representation learning in Multi-Task Scene
- Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
- Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
- Measuring Non-Probabilistic Uncertainty: A cognitive, logical and computational assessment of known and unknown unknowns
- A Critical Analysis of Image-based Camera Pose Estimation Techniques
- Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing
- Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification
- Hyperplane bounds for neural feature mappings
- A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
- A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition
- OneDConv: Generalized Convolution For Transform-Invariant Representation
- A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking
- Semantic decoupled representation learning for remote sensing image change detection
- Uncertainty-Aware Multi-View Representation Learning
- Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations
- Automated causal inference in application to randomized controlled clinical trials
- Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
- KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics
- Edge-based Tensor prediction via graph neural networks
- Mixed Diagnostics for Longitudinal Properties of Electron Bunches in a Free-Electron Laser
- Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer
- Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
- Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
- A Survey on RGB-D Datasets
- Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
- FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes
- Block Policy Mirror Descent
- Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization
- Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model
- Deep Optimal Transport for Domain Adaptation on SPD Manifolds
- Kformer: Knowledge Injection in Transformer Feed-Forward Layers
- Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
- A unified algorithm framework for mean-variance optimization in discounted Markov decision processes
- Wrapped Classifier with Dummy Teacher for training physics-based classifier at unlabeled radar data
- Learning Hierarchical Graph Representation for Image Manipulation Detection
- CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks
- IBAC: An Intelligent Dynamic Bandwidth Channel Access Avoiding Outside Warning Range Problem
- Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
- Extracting Space Situational Awareness Events from News Text
- Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management
- Parameter-free Online Test-time Adaptation