Papers
Wed 17 Nov 2021
131 papers
- To Trust or Not To Trust Prediction Scores for Membership Inference AttacksLLM safety and security → Membership inference attacks
- Fast Yet Effective Machine UnlearningLLM safety and security → Machine unlearning
- SEIHAI: A Sample-efficient Hierarchical AI for the MineRL CompetitionOffline RL and imitation learning from data → Imitation learning methods
- Using Computational Intelligence for solving the Ornstein-Zernike equation
- Fine-grained prediction of food insecurity using news streams
- Topological and Algebraic Structures of Atanassov's Intuitionistic Fuzzy-Values Space
- A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities
- Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
- Augmentation of base classifier performance via HMMs on a handwritten character data set
- Machine Learning Assisted Approach for Security-Constrained Unit Commitment
- Learning Free-Surface Flow with Physics-Informed Neural Networks
- Features selection in NBA outcome prediction through Deep Learning
- See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation
- L4-Norm Weight Adjustments for Converted Spiking Neural Networks
- FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
- Sustainable Artificial Intelligence through Continual Learning
- On the Effectiveness of Iterative Learning Control
- Rethinking Drone-Based Search and Rescue with Aerial Person Detection
- Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning
- Low Precision Decentralized Distributed Training over IID and non-IID Data
- High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics
- DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
- MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System
- MPF6D: Masked Pyramid Fusion 6D Pose Estimation
- BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement
- Personalized Federated Learning through Local Memorization
- The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage
- Temporally Consistent Online Depth Estimation in Dynamic Scenes
- GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation
- Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
- Quantum-Assisted Support Vector Regression
- Facial Information Analysis Technology for Gender and Age Estimation
- Learning to Align Sequential Actions in the Wild
- SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
- Learning to Compose Visual Relations
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
- Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
- Character Transformations for Non-Autoregressive GEC Tagging
- Differentially Private Federated Learning on Heterogeneous Data
- SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
- Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
- Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic
- DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
- GFlowNet Foundations
- Segmentation of Lung Tumor from CT Images using Deep Supervision
- Acquisition of Chess Knowledge in AlphaZero
- Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
- Privacy-preserving Federated Learning for Residential Short Term Load Forecasting
- Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
- Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
- IV-GNN : Interval Valued Data Handling Using Graph Neural Network
- Preference Communication in Multi-Objective Normal-Form Games
- Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
- End-to-end optimized image compression with competition of prior distributions
- Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
- It's About Time: Analog Clock Reading in the Wild
- Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
- Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
- Interpretable Models via Pairwise permutations algorithm
- Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
- Interpreting multi-variate models with setPCA
- Two-Face: Adversarial Audit of Commercial Face Recognition Systems
- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
- Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
- Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
- Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
- Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
- Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
- STEEX: Steering Counterfactual Explanations with Semantics
- The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions
- Motion Detection using CSI from Raspberry Pi 4
- Network Generation with Differential Privacy
- A Graph-based Imputation Method for Sparse Medical Records
- Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
- Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
- Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
- Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
- Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
- Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
- Exploring Unsupervised Learning Methods for Automated Protocol Analysis
- Improving Person Re-Identification with Temporal Constraints
- High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
- ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
- A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
- Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation Extraction
- Using Convolutional Neural Networks to Detect Compression Algorithms
- Trustworthy Long-Tailed Classification
- Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
- Discriminative Dictionary Learning based on Statistical Methods
- Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data
- Image Super-Resolution Using T-Tetromino Pixels
- Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
- Self-Learning Tuning for Post-Silicon Validation
- Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
- LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
- Pedestrian Detection by Exemplar-Guided Contrastive Learning
- Generating Unrestricted 3D Adversarial Point Clouds
- Compositional Transformers for Scene Generation
- Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
- Three approaches to supervised learning for compositional data with pairwise logratios
All 131
- A Generalized Proportionate-Type Normalized Subband Adaptive Filter
- Exploring Student Representation For Neural Cognitive Diagnosis
- Transparent Human Evaluation for Image Captioning
- Protection of SVM Model with Secret Key from Unauthorized Access
- Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
- EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
- Local Texture Estimator for Implicit Representation Function
- Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition
- Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
- Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
- A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
- ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
- Achieving Human Parity on Visual Question Answering
- SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
- Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
- Jump Interval-Learning for Individualized Decision Making
- CONFAIR: Configurable and Interpretable Algorithmic Fairness
- GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
- TorchGeo: Deep Learning With Geospatial Data
- Enhanced Correlation Matching based Video Frame Interpolation
- TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
- Max-Min Grouped Bandits
- A label-efficient two-sample test
- A Normative and Biologically Plausible Algorithm for Independent Component Analysis
- Fairness Testing of Deep Image Classification with Adequacy Metrics
- Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
- Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
- How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
- Quality Measures in Biometric Systems
- Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
- The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)