Papers
Fri 5 Feb 2021
140 papers
- On Utility and Privacy in Synthetic Genomic DataLLM safety and security → Membership inference attacks
- Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order EfficiencyOffline RL and imitation learning from data → Offline RL algorithms
- Show, Attend and Distill:Knowledge Distillation via Attention-based Feature MatchingKnowledge distillation → General knowledge distillation methods
- Video Action Recognition Using spatio-temporal optical flow video frames
- Social Network Analysis: From Graph Theory to Applications with Python
- AI Can Stop Mass Shootings, and More
- Uncertainty quantification and exploration-exploitation trade-off in humans
- Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory
- A modular framework for extreme weather generation
- Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks
- Convolutional Neural Network Interpretability with General Pattern Theory
- How Pandemic Spread in News: Text Analysis Using Topic Model
- Federated Reconstruction: Partially Local Federated Learning
- Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets
- Custom Object Detection via Multi-Camera Self-Supervised Learning
- Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
- Learning Audio-Visual Correlations from Variational Cross-Modal Generation
- Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
- Machine Learning in Precision Medicine to Preserve Privacy via Encryption
- A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection
- Symbolic Behaviour in Artificial Intelligence
- Robust Principal Component Analysis: A Median of Means Approach
- Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles
- Confidence-Budget Matching for Sequential Budgeted Learning
- Network Support for High-performance Distributed Machine Learning
- MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning
- Single Run Action Detector over Video Stream -- A Privacy Preserving Approach
- Projection Robust Wasserstein Barycenters
- Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
- SkillBot: Identifying Risky Content for Children in Alexa Skills
- Robust Single-step Adversarial Training with Regularizer
- Reproducibility in Evolutionary Computation
- On the Reproducibility of Neural Network Predictions
- NRTSI: Non-Recurrent Time Series Imputation
- Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
- ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
- Fusion of neural networks, for LIDAR-based evidential road mapping
- GIBBON: General-purpose Information-Based Bayesian OptimisatioN
- CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
- Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge
- Rethinking Neural Networks With Benford's Law
- Online Bin Packing with Predictions
- Improving state estimation through projection post-processing for activity recognition with application to football
- Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery
- baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
- Pedestrian Simulation: A Review
- Unsupervised Novel View Synthesis from a Single Image
- Categorical data as a stone guest in a data science project for predicting defective water meters
- Effects of quantum resources on the statistical complexity of quantum circuits
- Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization
- Minimum projective linearizations of trees in linear time
- In-Loop Meta-Learning with Gradient-Alignment Reward
- On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
- Generating automatically labeled data for author name disambiguation: An iterative clustering method
- Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
- Transductive Zero-Shot Learning by Decoupled Feature Generation
- Revisiting Prioritized Experience Replay: A Value Perspective
- Vine copula mixture models and clustering for non-Gaussian data
- Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis
- Effect of forename string on author name disambiguation
- GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
- Hyperspherical embedding for novel class classification
- Applications of Machine Learning in Document Digitisation
- Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
- Matrix Decomposition on Graphs: A Functional View
- Multi-Task Self-Supervised Pre-Training for Music Classification
- A Collaborative Visual SLAM Framework for Service Robots
- Spell Correction for Azerbaijani Language using Deep Neural Networks
- Intermediate Loss Regularization for CTC-based Speech Recognition
- Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
- A Deep Learning Approach Based on Graphs to Detect Plantation Lines
- Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
- A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
- Interpretable Neural Networks based classifiers for categorical inputs
- Deep reinforcement learning for smart calibration of radio telescopes
- Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
- Provably Efficient Algorithms for Multi-Objective Competitive RL
- Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
- A simpler spectral approach for clustering in directed networks
- Last iterate convergence of SGD for Least-Squares in the Interpolation regime
- Feature Representation in Deep Metric Embeddings
- White-box Audio VST Effect Programming
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers
- Active Slices for Sliced Stein Discrepancy
- Optimal Transport as a Defense Against Adversarial Attacks
- Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
- Equivariant message passing for the prediction of tensorial properties and molecular spectra
- Learning Conjoint Attentions for Graph Neural Nets
- CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
- Sparse Reward Exploration via Novelty Search and Emitters
- An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
- Zero-shot Learning with Deep Neural Networks for Object Recognition
- Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
- Integer Programming for Causal Structure Learning in the Presence of Latent Variables
- Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
- Multispectral Object Detection with Deep Learning
- Real-World Super-Resolution of Face-Images from Surveillance Cameras
- DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning
All 140
- 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
- Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery
- Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
- Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
- Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
- "I Don't Think So": Summarizing Policy Disagreements for Agent Comparison
- Understanding Emails and Drafting Responses -- An Approach Using GPT-3
- Distributed Sparse Normal Means Estimation with Sublinear Communication
- Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR
- Removing biased data to improve fairness and accuracy
- DEAL: Decremental Energy-Aware Learning in a Federated System
- Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
- Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets
- Hyperparameter Optimization Is Deceiving Us, and How to Stop It
- Instance and Panoptic Segmentation Using Conditional Convolutions
- Deceptive Reinforcement Learning for Privacy-Preserving Planning
- Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer
- Model Agnostic Answer Reranking System for Adversarial Question Answering
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
- A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
- Sampling Based Scene-Space Video Processing
- Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
- Deep Texture-Aware Features for Camouflaged Object Detection
- LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
- Learning High Dimensional Wasserstein Geodesics
- AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
- The Fourier Discrepancy Function
- GraphPlan: Story Generation by Planning with Event Graph
- Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
- Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
- Metaknowledge Extraction Based on Multi-Modal Documents
- Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix Recovery
- RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
- Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
- Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning
- DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
- Understanding Pre-Editing for Black-Box Neural Machine Translation
- Robust Adaptive Filtering Based on Exponential Functional Link Network
- Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression