Papers
Tue 5 Jan 2021
103 papers
- Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
- Practical Blind Membership Inference Attack via Differential ComparisonsLLM safety and security → Membership inference attacks
- Enhanced Audit Techniques Empowered by the Reinforcement Learning Pertaining to IFRS 16 Lease
- Robust CUR Decomposition: Theory and Imaging Applications
- edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts
- Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM
- Trear: Transformer-based RGB-D Egocentric Action Recognition
- Neurosymbolic Transformers for Multi-Agent Communication
- Domain-aware Neural Language Models for Speech Recognition
- GRAPPA-GANs for Parallel MRI Reconstruction
- Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study
- Off-Policy Evaluation of Slate Policies under Bayes Risk
- Improving Training Result of Partially Observable Markov Decision Process by Filtering Beliefs
- COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data
- Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
- Minibatch optimal transport distances; analysis and applications
- Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
- Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
- An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
- A unifying approach on bias and variance analysis for classification
- AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
- Online Multivalid Learning: Means, Moments, and Prediction Intervals
- Local Memory Attention for Fast Video Semantic Segmentation
- Learning from Synthetic Shadows for Shadow Detection and Removal
- Learning Accurate Dense Correspondences and When to Trust Them
- A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations
- Analyzing movies to predict their commercial viability for producers
- Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
- Monocular Depth Estimation for Soft Visuotactile Sensors
- Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization
- Characterizing Intersectional Group Fairness with Worst-Case Comparisons
- Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark
- Spatial Attention Improves Iterative 6D Object Pose Estimation
- Theory-based Habit Modeling for Enhancing Behavior Prediction
- On the interaction of automatic evaluation and task framing in headline style transfer
- On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions
- Local Translation Services for Neglected Languages
- Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
- Novel View Synthesis via Depth-guided Skip Connections
- Auto-Encoding Molecular Conformations
- Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
- Contextual colorization and denoising for low-light ultra high resolution sequences
- On the price of explainability for some clustering problems
- Sequential Choice Bandits with Feedback for Personalizing users' experience
- Exact solution to the random sequential dynamics of a message passing algorithm
- Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
- Adversarially trained LSTMs on reduced order models of urban air pollution simulations
- Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
- Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
- On the Control of Attentional Processes in Vision
- Handling Hard Affine SDP Shape Constraints in RKHSs
- Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
- Modeling Global Semantics for Question Answering over Knowledge Bases
- SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
- A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
- Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
- Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications
- Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs
- Weight-of-evidence 2.0 with shrinkage and spline-binning
- Local Propagation for Few-Shot Learning
- Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
- PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
- Learning Sign-Constrained Support Vector Machines
- PointCutMix: Regularization Strategy for Point Cloud Classification
- WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
- End-to-End Video Question-Answer Generation with Generator-Pretester Network
- Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors
- CycleGAN for Interpretable Online EMT Compensation
- Single-preparation unsupervised quantum machine learning: concepts and applications
- Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data
- Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization
- Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
- Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
- Data-Driven Copy-Paste Imputation for Energy Time Series
- Support Vector Machine and YOLO for a Mobile Food Grading System
- To do or not to do: cost-sensitive causal decision-making
- Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
- VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
- Political Depolarization of News Articles Using Attribute-aware Word Embeddings
- Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
- Recurrent Neural Networks for Stochastic Control Problems with Delay
- An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
- Similarity Reasoning and Filtration for Image-Text Matching
- A Symmetric Loss Perspective of Reliable Machine Learning
- High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test
- Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
- CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
- Reinforcement Learning based Collective Entity Alignment with Adaptive Features
- Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model
- Towards An Efficient Approach for the Nonconvex ℓp Ball Projection: Algorithm and Analysis
- Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
- Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
- Evaluating Empathetic Chatbots in Customer Service Settings
- Equality Saturation for Tensor Graph Superoptimization
- A Trainable Reconciliation Method for Hierarchical Time-Series
- Self-supervised Visual-LiDAR Odometry with Flip Consistency
- I-BERT: Integer-only BERT Quantization
- Research on Fast Text Recognition Method for Financial Ticket Image
- CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence
- Adversarial Combinatorial Bandits with General Non-linear Reward Functions