Papers
Fri 30 Apr 2021
145 papers
- Semantic Relation Preserving Knowledge Distillation for Image-to-Image TranslationKnowledge distillation → General knowledge distillation methods
- SRDiff: Single Image Super-Resolution with Diffusion Probabilistic ModelsDiffusion models → Inverse problems and image restoration
- Classifying States of Cooking Objects Using Convolutional Neural Network
- A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media
- Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?
- Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
- Emergence in artificial life
- Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
- A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media
- A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network
- Convergence Analysis and System Design for Federated Learning over Wireless Networks
- Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames
- IPatch: A Remote Adversarial Patch
- Explaining a Series of Models by Propagating Shapley Values
- Tensor Random Projection for Low Memory Dimension Reduction
- Distilling EEG Representations via Capsules for Affective Computing
- Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
- Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks
- Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
- Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems
- Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
- Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing
- Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
- Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities
- Vessel and Port Efficiency Metrics through Validated AIS data
- Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization
- An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets
- PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
- Submodular Mutual Information for Targeted Data Subset Selection
- Leveraging Machine Learning to Detect Data Curation Activities
- Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
- Continuous Face Aging via Self-estimated Residual Age Embedding
- Ethics-Based Auditing to Develop Trustworthy AI
- Differentiable Event Stream Simulator for Non-Rigid 3D Tracking
- Explanation-Based Human Debugging of NLP Models: A Survey
- Stealthy Backdoors as Compression Artifacts
- Deep Multi-View Stereo gone wild
- Paraphrastic Representations at Scale
- Memory-Efficient Deep Learning Inference in Trusted Execution Environments
- Latent Factor Decomposition Model: Applications for Questionnaire Data
- GTN-ED: Event Detection Using Graph Transformer Networks
- Faster Meta Update Strategy for Noise-Robust Deep Learning
- Technical Reports Compilation: Detecting the Fire Drill Anti-pattern Using Source Code and Issue-Tracking Data
- Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
- Ranking the information content of distance measures
- Participatory Budgeting with Donations and Diversity Constraints
- A Good Image Generator Is What You Need for High-Resolution Video Synthesis
- Black-box adversarial attacks using Evolution Strategies
- Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
- DriveGAN: Towards a Controllable High-Quality Neural Simulation
- DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities
- Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
- Updatable Siamese Tracker with Two-stage One-shot Learning
- Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
- Divide-and-conquer based Large-Scale Spectral Clustering
- Using Small MUSes to Explain How to Solve Pen and Paper Puzzles
- Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
- Post-training deep neural network pruning via layer-wise calibration
- Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
- RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
- Degenerate Gaussian factors for probabilistic inference
- ModelGuard: Runtime Validation of Lipschitz-continuous Models
- Interpretable Semantic Photo Geolocation
- CAT: Cross-Attention Transformer for One-Shot Object Detection
- Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition
- Unsupervised data augmentation for object detection
- Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
- Determining Chess Game State From an Image
- PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
- Revisiting Citizen Science Through the Lens of Hybrid Intelligence
- A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models
- Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
- Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
- Evaluating Contrastive Models for Instance-based Image Retrieval
- Federated Learning with Fair Averaging
- Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
- On In-network learning. A Comparative Study with Federated and Split Learning
- Certifying Emergency Landing for Safe Urban UAV
- Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts
- Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
- BERT Meets Relational DB: Contextual Representations of Relational Databases
- Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
- Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning
- Learning for Detecting Norm Violation in Online Communities
- Calibration of wind speed ensemble forecasts for power generation
- Deep Learning Based Steel Pipe Weld Defect Detection
- Discrete-Time Mean Field Control with Environment States
- Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
- Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
- Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
- Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
- Summarization, Simplification, and Generation: The Case of Patents
- NTIRE 2021 Challenge on Image Deblurring
- NTIRE 2021 Challenge on Video Super-Resolution
- Forming Ensembles at Runtime: A Machine Learning Approach
- Active WeaSuL: Improving Weak Supervision with Active Learning
- Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
- The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
- RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream
All 145
- Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
- Scaling End-to-End Models for Large-Scale Multilingual ASR
- Interpretability of Epidemiological Models : The Curse of Non-Identifiability
- Number and quality of diagrams in scholarly publications is associated with number of citations
- SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
- Why scholars are diagramming neural network models
- Structuralist analysis for neural network system diagrams
- Deep learning neural networks for the third-order nonlinear Schrodinger equation: Solitons, breathers, and rogue waves
- Improved Matrix Gaussian Mechanism for Differential Privacy
- GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
- Few-Shot Video Object Detection
- Mitigating Political Bias in Language Models Through Reinforced Calibration
- Deformable TDNN with adaptive receptive fields for speech recognition
- Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theory
- A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
- Editable Free-viewpoint Video Using a Layered Neural Representation
- BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
- Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling
- Continuous black-box optimization with quantum annealing and random subspace coding
- Event-driven timeseries analysis and the comparison of public reactions on COVID-19
- Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
- PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
- TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation
- CoCon: Cooperative-Contrastive Learning
- ICOS: Efficient and Highly Robust Rotation Search and Point Cloud Registration with Correspondences
- GM-MLIC: Graph Matching based Multi-Label Image Classification
- An Adversarial Transfer Network for Knowledge Representation Learning
- Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
- Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
- Studying the Consistency and Composability of Lottery Ticket Pruning Masks
- A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods
- A Refined Inertial DC Algorithm for DC Programming
- Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation
- Center Prediction Loss for Re-identification
- Human strategic decision making in parametrized games
- Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads
- DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing
- Flattening Multiparameter Hierarchical Clustering Functors
- Perceptual Image Quality Assessment with Transformers
- CoSformer: Detecting Co-Salient Object with Transformers
- Cross-lingual hate speech detection based on multilingual domain-specific word embeddings
- MOOD: Multi-level Out-of-distribution Detection
- End-to-End Attention-based Image Captioning
- Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending
- Adapting Coreference Resolution for Processing Violent Death Narratives