Papers
Sat 18 Sep 2021
98 papers
- Proposing a System Level Machine Learning Hybrid Architecture and Approach for a Comprehensive Autism Spectrum Disorder Diagnosis
- Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem
- MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
- Hindsight Foresight Relabeling for Meta-Reinforcement Learning
- Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition
- Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks
- Change of human mobility during COVID-19: A United States case study
- Multimodal Classification: Current Landscape, Taxonomy and Future Directions
- The Unreasonable Effectiveness of the Final Batch Normalization Layer
- A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
- Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
- PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
- Augmenting semantic lexicons using word embeddings and transfer learning
- Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
- Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database
- Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
- ReaSCAN: Compositional Reasoning in Language Grounding
- G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
- Human Recognition based on Retinal Bifurcations and Modified Correlation Function
- AirLoop: Lifelong Loop Closure Detection
- Atrial Fibrillation: A Medical and Technological Review
- Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
- Temporal Knowledge Graph Completion using Box Embeddings
- Asynchronous and Distributed Data Augmentation for Massive Data Settings
- Visual Representation Learning for Preference-Aware Path Planning
- Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds
- PCNN: A physics-constrained neural network for multiphase flows
- SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
- AI Accelerator Survey and Trends
- Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
- Manifold-preserved GANs
- Inductive Conformal Recommender System
- Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
- Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
- iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
- Violence Detection in Videos
- UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
- Complex Temporal Question Answering on Knowledge Graphs
- Fairness Maximization among Offline Agents in Online-Matching Markets
- Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
- Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
- A Studious Approach to Semi-Supervised Learning
- KNN Learning Techniques for Proportional Myocontrol in Prosthetics
- Underwater Image Enhancement Using Convolutional Neural Network
- Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images
- Text Detoxification using Large Pre-trained Neural Models
- Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer
- MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification
- Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning
- Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
- Releasing Graph Neural Networks with Differential Privacy Guarantees
- Towards Resilient Artificial Intelligence: Survey and Research Issues
- S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
- Dependency distance minimization predicts compression
- Towards Joint Intent Detection and Slot Filling via Higher-order Attention
- Design and Results of ICCMA 2021
- Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
- FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal
- DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
- Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
- Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA
- Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
- V-SlowFast Network for Efficient Visual Sound Separation
- Interest-oriented Universal User Representation via Contrastive Learning
- An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization
- Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
- Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms
- Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees
- A survey on deep learning approaches for breast cancer diagnosis
- Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
- Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
- Towards High-Quality Temporal Action Detection with Sparse Proposals
- Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
- Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
- SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
- Generating Active Explicable Plans in Human-Robot Teaming
- TVStoryGen: A Dataset for Generating Stories with Character Descriptions
- Multilingual Molecular Representation Learning via Contrastive Pre-training
- Self-Adaptive Partial Domain Adaptation
- Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
- Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
- Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
- DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling
- Learning to Regrasp by Learning to Place
- Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
- Structured Pattern Pruning Using Regularization
- Data-driven rational function neural networks: a new method for generating analytical models of rock physics
- Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification
- HYouTube: Video Harmonization Dataset
- The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations
- BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
- A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition
- Solar cell patent classification method based on keyword extraction and deep neural network
- An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
- A Comprehensive Overview of Recommender System and Sentiment Analysis
- Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
- Small Lesion Segmentation in Brain MRIs with Subpixel Embedding