Papers
Thu 5 Aug 2021
173 papers
- Knowledge Distillation from BERT Transformer to Speech Transformer for Intent ClassificationKnowledge distillation → Speech and audio distillation
- Exploring Structure Consistency for Deep Model WatermarkingLLM safety and security → Watermarking generated content and models
- Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques
- Local Exceptionality Detection in Time Series Using Subgroup Discovery
- Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents
- The application of adaptive minimum match k-nearest neighbors to identify at-risk students in health professions education
- Recommending Insurance products by using Users' Sentiments
- A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets
- Hyperparameter Analysis for Derivative Compressive Sampling
- Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge
- Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
- End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
- Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System
- Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
- Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data
- Co-learning: Learning from Noisy Labels with Self-supervision
- Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
- Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems
- An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting
- Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles
- Mixture of Linear Models Co-supervised by Deep Neural Networks
- Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning
- Pattern Recognition in Vital Signs Using Spectrograms
- RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation
- COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging
- User Scheduling for Federated Learning Through Over-the-Air Computation
- RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
- Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
- Evolution of emotion semantics
- Interpolation can hurt robust generalization even when there is no noise
- Disentangled Lifespan Face Synthesis
- Understanding Human Innate Immune System Dependencies using Graph Neural Networks
- A Data Augmented Approach to Transfer Learning for Covid-19 Detection
- Enterprise Analytics using Graph Database and Graph-based Deep Learning
- Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
- Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data
- Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
- 3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
- GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
- Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting
- Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
- Multimodal Meta-Learning for Time Series Regression
- Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation
- Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques
- Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence
- Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
- Elaborative Rehearsal for Zero-shot Action Recognition
- Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning
- Differentially Private n-gram Extraction
- Hate Speech Detection in Roman Urdu
- An Elementary Proof that Q-learning Converges Almost Surely
- Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
- THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy
- ProcessCO v1.3's Terms, Properties, Relationships and Axioms - A Core Ontology for Processes
- Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering
- Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
- Neural Twins Talk & Alternative Calculations
- A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse
- Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends
- Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
- I-DLV-sr: A Stream Reasoning System based on I-DLV
- Quantum Continual Learning Overcoming Catastrophic Forgetting
- Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System
- Sketch Your Own GAN
- Learning to Elect
- Decoupled Transformer for Scalable Inference in Open-domain Question Answering
- SLAMP: Stochastic Latent Appearance and Motion Prediction
- Unifying Global-Local Representations in Salient Object Detection with Transformer
- BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
- The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
- Deep learning for inverse problems with unknown operator
- Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks
- GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
- WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration
- Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
- VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
- Video Contrastive Learning with Global Context
- Instance Similarity Learning for Unsupervised Feature Representation
- Generalizable Mixed-Precision Quantization via Attribution Rank Preservation
- Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
- Role-based lateral movement detection with unsupervised learning
- On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
- Object Wake-up: 3D Object Rigging from a Single Image
- Fairness Properties of Face Recognition and Obfuscation Systems
- Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
- Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty
- A Low Rank Promoting Prior for Unsupervised Contrastive Learning
- Using Metamorphic Relations to Verify and Enhance Artcode Classification
- Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP
- Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
- Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware
- Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
- Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
- Reducing Unintended Bias of ML Models on Tabular and Textual Data
- Sparse Communication via Mixed Distributions
- A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
- Parallel Capsule Networks for Classification of White Blood Cells
- An ASP-based Solution to the Chemotherapy Treatment Scheduling problem
- A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain
- MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
All 173
- Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
- Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
- UniCon: Unified Context Network for Robust Active Speaker Detection
- Self-supervised optimization of random material microstructures in the small-data regime
- EENLP: Cross-lingual Eastern European NLP Index
- Tikhonov Regularization of Circle-Valued Signals
- A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
- Performer Identification From Symbolic Representation of Music Using Statistical Models
- MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
- DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
- Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems
- SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
- Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black
- Redatuming physical systems using symmetric autoencoders
- Bambara Language Dataset for Sentiment Analysis
- Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
- Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
- Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
- RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
- Shape Modeling with Spline Partitions
- On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement
- Imperceptible Adversarial Examples by Spatial Chroma-Shift
- Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection
- How to avoid machine learning pitfalls: a guide for academic researchers
- DRL-based Slice Placement Under Non-Stationary Conditions
- Poison Ink: Robust and Invisible Backdoor Attack
- MixLacune: Segmentation of lacunes of presumed vascular origin
- MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
- HyperJump: Accelerating HyperBand via Risk Modelling
- Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment
- Residual Attention: A Simple but Effective Method for Multi-Label Recognition
- LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
- VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
- Unifying Nonlocal Blocks for Neural Networks
- MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
- Finetuning Pretrained Transformers into Variational Autoencoders
- Learning to Design and Construct Bridge without Blueprint
- Token Shift Transformer for Video Classification
- AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
- Deep Neural Networks and PIDE discretizations
- A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare
- Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
- PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
- Automatic Rail Component Detection Based on AttnConv-Net
- Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
- Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval
- Aspis: Robust Detection for Distributed Learning
- IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
- Fast Convergence of DETR with Spatially Modulated Co-Attention
- WeChat Neural Machine Translation Systems for WMT21
- Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers
- Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
- Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
- Adapting to Function Difficulty and Growth Conditions in Private Optimization
- Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
- TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding
- ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
- Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
- M2IOSR: Maximal Mutual Information Open Set Recognition
- Spotify Danceability and Popularity Analysis using SAP
- Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
- Hybrid Reasoning Network for Video-based Commonsense Captioning
- O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
- Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
- Alleviating Mode Collapse in GAN via Diversity Penalty Module
- Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
- Hierarchical Aggregation for 3D Instance Segmentation
- Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution
- FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
- Robust Transfer Learning with Pretrained Language Models through Adapters
- Advances in Trajectory Optimization for Space Vehicle Control
- PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
- Active Reinforcement Learning over MDPs