Papers
Sat 6 Feb 2021
69 papers
- Bootstrapping Fitted Q-Evaluation for Off-Policy InferenceOffline RL and imitation learning from data → Offline RL algorithms
- Ownership Verification of DNN Architectures via Hardware Cache Side ChannelsLLM safety and security → Watermarking generated content and models
- Corner Case Generation and Analysis for Safety Assessment of Autonomous VehiclesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking
- Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology
- The Arc of the Data Scientific Universe
- FedMood: Federated Learning on Mobile Health Data for Mood Detection
- A Hybrid Approach for Reinforcement Learning Using Virtual Policy Gradient for Balancing an Inverted Pendulum
- Hyperedge Prediction using Tensor Eigenvalue Decomposition
- Noise Optimization for Artificial Neural Networks
- Concentrated Document Topic Model
- Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
- Predicting Eye Fixations Under Distortion Using Bayesian Observers
- Generating Artificial Core Users for Interpretable Condensed Data
- Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection
- Emergency Department Optimization and Load Prediction in Hospitals
- From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
- COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model
- A bandit approach to curriculum generation for automatic speech recognition
- Neural SDEs as Infinite-Dimensional GANs
- Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates
- A practical model-based segmentation approach for improved activation detection in single-subject functional Magnetic Resonance Imaging studies
- Speaker attribution with voice profiles by graph-based semi-supervised learning
- Extremal learning: extremizing the output of a neural network in regression problems
- Deep Semi-Supervised Learning for Time Series Classification
- Multi-Tier Federated Learning for Vertically Partitioned Data
- Linear Matrix Inequality Approaches to Koopman Operator Approximation
- Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
- Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
- Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
- Online nonparametric regression with Sobolev kernels
- An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism
- CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning
- Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees
- Drug Package Recommendation via Interaction-aware Graph Induction
- SM+: Refined Scale Match for Tiny Person Detection
- Neural Data-to-Text Generation with LM-based Text Augmentation
- Scheduling Plans of Tasks
- Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
- Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
- UniFuse: Unidirectional Fusion for 360circ Panorama Depth Estimation
- Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
- Continuous Monitoring of Blood Pressure with Evidential Regression
- Sill-Net: Feature Augmentation with Separated Illumination Representation
- A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
- A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
- Vampire With a Brain Is a Good ITP Hammer
- Open-World Semi-Supervised Learning
- Exclusive Topic Modeling
- Video-based Hierarchical Species Classification for Longline Fishing Monitoring
- Privacy-Preserving Feature Selection with Secure Multiparty Computation
- Privacy-Preserving Video Classification with Convolutional Neural Networks
- MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
- Robust normalizing flows using Bernstein-type polynomials
- Study on the simulation control of neural network algorithm in thermally coupled distillation
- Template-Free Try-on Image Synthesis via Semantic-guided Optimization
- MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
- Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptation
- Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization
- IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
- FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data
- Understanding the Interaction of Adversarial Training with Noisy Labels
- Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
- Overcoming Bias in Community Detection Evaluation
- Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN
- Improving Model and Search for Computer Go
- Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication
- BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
- Wasserstein Graph Neural Networks for Graphs with Missing Attributes