Papers
Sun 25 Apr 2021
74 papers
- SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
- Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
- Regression on Deep Visual Features using Artificial Neural Networks (ANNs) to Predict Hydraulic Blockage at Culverts
- Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers
- Random Embeddings and Linear Regression can Predict Protein Function
- Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed
- Revisiting the dynamics of Bose-Einstein condensates in a double well by deep learning with a hybrid network
- Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study
- Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes
- Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models
- A Comprehensive Attempt to Research Statement Generation
- StegaPos: Preventing Unwanted Crops and Replacements with Imperceptible Positional Embeddings
- Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization
- Class Equilibrium using Coulomb's Law
- Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data
- Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
- Causal Learning for Socially Responsible AI
- Reranking Machine Translation Hypotheses with Structured and Web-based Language Models
- Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
- A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
- Contextual-Lexicon Approach for Abusive Language Detection
- User Preference-aware Fake News Detection
- XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond
- Single Stage Class Agnostic Common Object Detection: A Simple Baseline
- The 5th AI City Challenge
- Variational Inference in high-dimensional linear regression
- Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks
- Identifying Offensive Expressions of Opinion in Context
- RP-DQN: An application of Q-Learning to Vehicle Routing Problems
- DC3: A learning method for optimization with hard constraints
- Breiman's two cultures: You don't have to choose sides
- Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
- Generative Adversarial Network: Some Analytical Perspectives
- A novel segmentation dataset for signatures on bank checks
- Transformers to Fight the COVID-19 Infodemic
- Sampling Permutations for Shapley Value Estimation
- Demystification of Few-shot and One-shot Learning
- A Novel Binocular Eye-Tracking SystemWith Stereo Stimuli for 3D Gaze Estimation
- MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
- An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion
- Sequential composition of answer set programs
- Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
- 3D Adversarial Attacks Beyond Point Cloud
- Learning to Address Intra-segment Misclassification in Retinal Imaging
- A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
- 3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
- Automatic Post-Editing for Vietnamese
- Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building
- Parallel mesh reconstruction streams for pose estimation of interacting hands
- System identification using Bayesian neural networks with nonparametric noise models
- Fair-Capacitated Clustering
- Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
- Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
- Temp-Frustum Net: 3D Object Detection with Temporal Fusion
- Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST
- Unsupervised Learning of Multi-level Structures for Anomaly Detection
- Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
- Visual Saliency Transformer
- Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps
- FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework
- ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification
- How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
- Parallel Scale-wise Attention Network for Effective Scene Text Recognition
- Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors
- Swimmer Stroke Rate Estimation From Overhead Race Video
- Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data
- Deep Probabilistic Graphical Modeling
- 3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
- Math Operation Embeddings for Open-ended Solution Analysis and Feedback
- Quantization of Deep Neural Networks for Accurate Edge Computing
- Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
- Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
- Balancing Accuracy and Latency in Multipath Neural Networks