Papers
Sat 22 Jan 2022
73 papers
- Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study
- Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method
- Capture Agent Free Biosensing using Porous Silicon Arrays and Machine Learning
- Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
- Blind Image Deblurring: a Review
- A Review of Deep Learning Based Image Super-resolution Techniques
- A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
- GlobalWalk: Learning Global-aware Node Embeddings via Biased Sampling
- Iterative Activation-based Structured Pruning
- Multi-Agent Adversarial Attacks for Multi-Channel Communications
- Question rewriting? Assessing its importance for conversational question answering
- glassoformer: a query-sparse transformer for post-fault power grid voltage prediction
- Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs
- Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
- Long-term Data Sharing under Exclusivity Attacks
- MIDAS: Deep learning human action intention prediction from natural eye movement patterns
- Data-Centric Machine Learning in Quantum Information Science
- CNN-based regularisation for CT image reconstructions
- Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
- Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
- A Causal Lens for Controllable Text Generation
- Predicting Physics in Mesh-reduced Space with Temporal Attention
- Robust Unpaired Single Image Super-Resolution of Faces
- Visual Information Guided Zero-Shot Paraphrase Generation
- Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning
- HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
- A Comprehensive Study on Occlusion Invariant Face Recognition under Face Mask Occlusion
- Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach
- Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
- LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
- Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
- Neuronal Correlation: a Central Concept in Neural Network
- Online Attentive Kernel-Based Temporal Difference Learning
- Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
- Solvability of orbit-finite systems of linear equations
- Topological data analysis and clustering
- On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations
- LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
- Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems
- Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint
- Differentially Private SGDA for Minimax Problems
- Good Classification Measures and How to Find Them
- Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
- Inter-Semantic Domain Adversarial in Histopathological Images
- Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures
- NAS-VAD: Neural Architecture Search for Voice Activity Detection
- Content-aware Warping for View Synthesis
- Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
- Leaf: Multiple-Choice Question Generation
- Linear Array Network for Low-light Image Enhancement
- Enhancing and Dissecting Crowd Counting By Synthetic Data
- Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis
- PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
- BBA-net: A bi-branch attention network for crowd counting
- Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Faccade Modeling
- Chinese Word Segmentation with Heterogeneous Graph Neural Network
- Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
- Mechanical Search on Shelves using a Novel "Bluction" Tool
- Diffractive all-optical computing for quantitative phase imaging
- Collaborative Representation for SPD Matrices with Application to Image-Set Classification
- Few-shot Object Counting with Similarity-Aware Feature Enhancement
- Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images
- The Many Faces of Adversarial Risk
- Modality Bank: Learn multi-modality images across data centers without sharing medical data
- Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
- FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis
- Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
- Physical Reasoning in an Open World
- Temporal Aggregation for Adaptive RGBT Tracking
- DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video
- Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification
- SAR Image Change Detection Based on Multiscale Capsule Network
- Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks