Papers
Wed 10 Nov 2021
138 papers
- Palette: Image-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Lightweight machine unlearning in neural networkLLM safety and security → Machine unlearning
- Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Modelling and optimization of nanovector synthesis for applications in drug delivery systems
- The MAIEI Learning Community Report
- Local Justice and the Algorithmic Allocation of Societal Resources
- Internationalizing AI: Evolution and Impact of Distance Factors
- Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports
- Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement
- CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
- Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
- Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis
- A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering
- A Survey on Neural-symbolic Learning Systems
- An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks
- Fast Computation of Hahn Polynomials for High Order Moments
- A Quantum Natural Language Processing Approach to Musical Intelligence
- Improving Structured Text Recognition with Regular Expression Biasing
- AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
- Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
- A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
- Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression
- On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
- Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
- Cross-language Information Retrieval
- Tight bounds for minimum l1-norm interpolation of noisy data
- SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
- Self-Supervised Real-time Video Stabilization
- SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
- Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks
- Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
- Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
- PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
- Linear Speedup in Personalized Collaborative Learning
- Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training
- Feature Generation for Long-tail Classification
- Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
- Robust Learning via Ensemble Density Propagation in Deep Neural Networks
- Self-Compression in Bayesian Neural Networks
- How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning
- Scaling ASR Improves Zero and Few Shot Learning
- Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations
- Self-Supervised Multi-Object Tracking with Cross-Input Consistency
- Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
- A Novel Corpus of Discourse Structure in Humans and Computers
- A study on Channel Popularity in Twitch
- Recent Advances in Automated Question Answering In Biomedical Domain
- SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
- A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
- A soft thumb-sized vision-based sensor with accurate all-round force perception
- Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
- Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
- An Extensive Study of User Identification via Eye Movements across Multiple Datasets
- Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
- Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
- A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
- Graph Neural Network Training with Data Tiering
- Multimodal End-to-End Group Emotion Recognition using Cross-Modal Attention
- Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks
- Search in Imperfect Information Games
- A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning
- Exponential separations between learning with and without quantum memory
- A Hierarchy for Replica Quantum Advantage
- Towards Green Automated Machine Learning: Status Quo and Future Directions
- Advances in Neural Rendering
- Structure from Silence: Learning Scene Structure from Ambient Sound
- Physics-enhanced deep surrogates for partial differential equations
- Searching in the Forest for Local Bayesian Optimization
- Data-Driven AI Model Signal-Awareness Enhancement and Introspection
- A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
- Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
- Multi-Task Neural Processes
- Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
- Efficient Projection-Free Online Convex Optimization with Membership Oracle
- SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
- BagBERT: BERT-based bagging-stacking for multi-topic classification
- Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
- Gradients are Not All You Need
- Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section
- Theoretical and Empirical Analysis of a Fast Algorithm for Extracting Polygons from Signed Distance Bounds
- A framework for comprehensible multi-modal detection of cyber threats
- Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
- Prune Once for All: Sparse Pre-Trained Language Models
- Multimodal Approach for Metadata Extraction from German Scientific Publications
- Critical Sentence Identification in Legal Cases Using Multi-Class Classification
- Counterfactual Explanations for Models of Code
- STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions
- Single image dehazing via combining the prior knowledge and CNNs
- Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
- LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
- HASA-net: A non-intrusive hearing-aid speech assessment network
- Robust reconstructions by multi-scale/irregular tangential covering
- Efficient Neural Network Training via Forward and Backward Propagation Sparsification
- Learning to ignore: rethinking attention in CNNs
- Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets
- Automatically detecting data drift in machine learning classifiers
- Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study
- DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
- The Impact of Changes in Resolution on the Persistent Homology of Images
- Social Fraud Detection Review: Methods, Challenges and Analysis
All 138
- Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
- Parallel Physics-Informed Neural Networks with Bidirectional Balance
- Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
- Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
- FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
- Leveraging Geometry for Shape Estimation from a Single RGB Image
- CLIP2TV: Align, Match and Distill for Video-Text Retrieval
- The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph
- Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
- Conversational Recommendation: Theoretical Model and Complexity Analysis
- Topic-aware latent models for representation learning on networks
- TomoSLAM: factor graph optimization for rotation angle refinement in microtomography
- Deducing Optimal Classification Algorithm for Heterogeneous Fabric
- Deep Attention-guided Graph Clustering with Dual Self-supervision
- ICDAR 2021 Competition on Document VisualQuestion Answering
- Biomarker Gene Identification for Breast Cancer Classification
- 3D modelling of survey scene from images enhanced with a multi-exposure fusion
- Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
- Understanding the Generalization Benefit of Model Invariance from a Data Perspective
- LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
- Space-Time Memory Network for Sounding Object Localization in Videos
- Discovering Latent Representations of Relations for Interacting Systems
- Training Generative Adversarial Networks with Adaptive Composite Gradient
- Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
- DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
- Inclusive Speaker Verification with Adaptive thresholding
- Attention Approximates Sparse Distributed Memory
- ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
- Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms
- A Structure Feature Algorithm for Multi-modal Forearm Registration
- Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique
- SGD Through the Lens of Kolmogorov Complexity
- Learning to Disentangle Scenes for Person Re-identification
- Analysis of PDE-based binarization model for degraded document images
- Clustering of longitudinal data: A tutorial on a variety of approaches
- Sparse Adversarial Video Attacks with Spatial Transformations
- Are Transformers More Robust Than CNNs?
- Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security