Papers
Fri 18 Feb 2022
131 papers
- A Survey of Vision-Language Pre-Trained ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mixture-of-Experts with Expert Choice RoutingMixture-of-experts → Expert routing strategies
- VLP: A Survey on Vision-Language Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation
- Needs and Artificial Intelligence
- Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis
- BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition
- A new LDA formulation with covariates
- Study of Feature Importance for Quantum Machine Learning Models
- Single-Leg Revenue Management with Advice
- Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
- An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems
- EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization
- Letters of the Alphabet: Discovering Natural Feature Sets
- Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting
- Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias
- Unleashing the Power of Transformer for Graphs
- SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
- AF2: Adaptive Focus Framework for Aerial Imagery Segmentation
- Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
- FedEmbed: Personalized Private Federated Learning
- Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
- Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
- Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems
- Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion
- Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
- Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
- Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
- From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations
- From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French
- Modern Augmented Reality: Applications, Trends, and Future Directions
- VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines
- A Mental-Model Centric Landscape of Human-AI Symbiosis
- Learning Representations Robust to Group Shifts and Adversarial Examples
- Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse
- Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
- Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates
- Equivariant Transporter Network
- Black-box Node Injection Attack for Graph Neural Networks
- A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics
- Synthetic Disinformation Attacks on Automated Fact Verification Systems
- Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
- Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
- ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
- Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions
- A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries?
- Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
- Learning Physics-Informed Neural Networks without Stacked Back-propagation
- Signal Decomposition Using Masked Proximal Operators
- DataMUX: Data Multiplexing for Neural Networks
- Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder
- Learning Predictions for Algorithms with Predictions
- Masked prediction tasks: a parameter identifiability view
- Illuminating the Space of Dungeon Maps, Locked-door Missions and Enemy Placement Through MAP-Elites
- Exploring Adversarially Robust Training for Unsupervised Domain Adaptation
- tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices
- System Safety and Artificial Intelligence
- A Numerical Proof of Shell Model Turbulence Closure
- Amenable Sparse Network Investigator
- Surf or sleep? Understanding the influence of bedtime patterns on campus
- FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network
- (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
- Geometric Regularization from Overparameterization
- Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks
- Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?
- Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI
- Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge
- Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
- Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
- Molecule Generation for Drug Design: a Graph Learning Perspective
- Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks
- Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation
- An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients
- A Review on Methods and Applications in Multimodal Deep Learning
- Testing the boundaries: Normalizing Flows for higher dimensional data sets
- Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
- Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
- Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps
- Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions
- Selection Strategies for Commonsense Knowledge
- PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
- Gaussian Mixture Convolution Networks
- MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
- Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators
- Modelling the semantics of text in complex document layouts using graph transformer networks
- Gaussian and Non-Gaussian Universality of Data Augmentation
- Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
- Towards Simple and Accurate Human Pose Estimation with Stair Network
- How to Manage Tiny Machine Learning at Scale: An Industrial Perspective
- Iterative Learning for Instance Segmentation
- Large-Scale Acoustic Characterization of Singaporean Children's English Pronunciation
- AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification
- Lightweight Multi-Drone Detection and 3D-Localization via YOLO
- A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
- Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
- VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion
- Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
- Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
- Interpolation and Regularization for Causal Learning
All 131
- Tackling benign nonconvexity with smoothing and stochastic gradients
- Guide Local Feature Matching by Overlap Estimation
- CLSEG: Contrastive Learning of Story Ending Generation
- Task Specific Attention is one more thing you need for object detection
- Microplankton life histories revealed by holographic microscopy and deep learning
- Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness
- Adaptive Experimentation in the Presence of Exogenous Nonstationary Variation
- On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
- Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
- Clustering by Hill-Climbing: Consistency Results
- TURNER: The Uncertainty-based Retrieval Framework for Chinese NER
- Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
- A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements
- Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
- How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
- LG-LSQ: Learned Gradient Linear Symmetric Quantization
- On Variance Estimation of Random Forests with Infinite-Order U-statistics
- KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
- End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system
- An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
- REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening
- Enhanced Multi-Objective A* Using Balanced Binary Search Trees
- Joint Learning of Frequency and Spatial Domains for Dense Predictions
- Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
- PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
- Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models
- GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
- R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
- Functional Connectivity Based Classification of ADHD Using Different Atlases
- Symphony: Composing Interactive Interfaces for Machine Learning
- Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem