Papers
Sun 11 Apr 2021
76 papers
- Pose Invariant Person Re-Identification using Robust Pose-transformation GAN
- Memory Capacity of Recurrent Neural Networks with Matrix Representation
- Prediction of Apophis Asteroid Flyby Optimal Trajectories and Data Fusion of Earth-Apophis Mission Launch Windows using Deep Neural Networks
- Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review
- Shuffler: A Large Scale Data Management Tool for ML in Computer Vision
- A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
- Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning
- Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
- iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform
- Towards a Collective Agenda on AI for Earth Science Data Analysis
- Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks
- Weak Form Generalized Hamiltonian Learning
- Constructing Contrastive samples via Summarization for Text Classification with limited annotations
- The World as a Graph: Improving El Ni~no Forecasts with Graph Neural Networks
- Learning from Censored and Dependent Data: The case of Linear Dynamics
- Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm
- CoPE: Conditional image generation using Polynomial Expansions
- Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
- Instagram Filter Removal on Fashionable Images
- A Non-Negative Matrix Factorization Game
- Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling
- Achieving Model Robustness through Discrete Adversarial Training
- NeMo Inverse Text Normalization: From Development To Production
- Research on Optimization Method of Multi-scale Fish Target Fast Detection Network
- Learning representations with end-to-end models for improved remaining useful life prognostics
- Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
- Dynamic Modeling of User Preferences for Stable Recommendations
- Print Error Detection using Convolutional Neural Networks
- USACv20: robust essential, fundamental and homography matrix estimation
- Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
- GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification
- Deformable Capsules for Object Detection
- New Insights on Reducing Abrupt Representation Change in Online Continual Learning
- WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
- CovNet: Covariance Networks for Functional Data on Multidimensional Domains
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
- Temporal Consistency Two-Stream CNN for Human Motion Prediction
- One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
- The structure of online social networks modulates the rate of lexical change
- Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
- Saddlepoints in Unsupervised Least Squares
- ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms
- Unsupervised Learning of Explainable Parse Trees for Improved Generalisation
- Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
- NorDial: A Preliminary Corpus of Written Norwegian Dialect Use
- AutoGL: A Library for Automated Graph Learning
- Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
- Zero-Shot Learning on 3D Point Cloud Objects and Beyond
- Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
- Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
- Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
- A Deep Learning Based Cost Model for Automatic Code Optimization
- SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation
- Fine-Grained Attention for Weakly Supervised Object Localization
- Innovative Bert-based Reranking Language Models for Speech Recognition
- Conversational Semantic Role Labeling
- UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
- Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation
- A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles
- Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images
- Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog
- Cross-Lingual Word Embedding Refinement by ℓ1 Norm Optimisation
- Edge: Enriching Knowledge Graph Embeddings with External Text
- Disentangled Contrastive Learning for Learning Robust Textual Representations
- Auto-weighted Multi-view Feature Selection with Graph Optimization
- BiP-Net: Bidirectional Perspective Strategy based Arbitrary-Shaped Text Detection Network
- Location-Sensitive Visual Recognition with Cross-IOU Loss
- A Toolbox for Construction and Analysis of Speech Datasets
- The Atari Data Scraper
- SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
- Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition
- Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
- Description of Structural Biases and Associated Data in Sensor-Rich Environments
- Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory
- Graph Representation Learning in Biomedicine
- Compressive Neural Representations of Volumetric Scalar Fields