Papers
Wed 3 Nov 2021
151 papers
- VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-ExpertsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Smooth Imitation Learning via Smooth Costs and Smooth PoliciesOffline RL and imitation learning from data → Imitation learning methods
- Data Synthesis for Testing Black-Box Machine Learning ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Curriculum Offline Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets
- Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
- IoT to monitor people flow in areas of public interest
- Confidence Composition for Monitors of Verification Assumptions
- ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
- Certainty Volume Prediction for Unsupervised Domain Adaptation
- Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations
- Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets
- On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics
- A Meta-Learned Neuron model for Continual Learning
- Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
- Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition
- Multi-task Learning of Order-Consistent Causal Graphs
- Shift Happens: Adjusting Classifiers
- Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution
- Resampling and super-resolution of hexagonally sampled images using deep learning
- Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot
- Differential Privacy Over Riemannian Manifolds
- Evaluation of Tree Based Regression over Multiple Linear Regression for Non-normally Distributed Data in Battery Performance
- AlphaD3M: Machine Learning Pipeline Synthesis
- Improving Pose Estimation through Contextual Activity Fusion
- Roadmap on Signal Processing for Next Generation Measurement Systems
- Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices
- Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs
- Automatic ultrasound vessel segmentation with deep spatiotemporal context learning
- Perturb-and-max-product: Sampling and learning in discrete energy-based models
- Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
- Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
- On the Frequency Bias of Generative Models
- Autonomous Attack Mitigation for Industrial Control Systems
- Panoptic 3D Scene Reconstruction From a Single RGB Image
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
- Weighted Quantum Channel Compiling through Proximal Policy Optimization
- Breast Cancer Classification Using: Pixel Interpolation
- Partial supervision for the FeTA challenge 2021
- Unsupervised embedding and similarity detection of microregions using public transport schedules
- WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
- Skin Cancer Classification using Inception Network and Transfer Learning
- FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
- A Survey of Machine Learning Algorithms for Detecting Malware in IoT Firmware
- An Empirical Study of Training End-to-End Vision-and-Language Transformers
- Intrusion Detection: Machine Learning Baseline Calculations for Image Classification
- Virus-MNIST: Machine Learning Baseline Calculations for Image Classification
- Can I use this publicly available dataset to build commercial AI software? -- A Case Study on Publicly Available Image Datasets
- What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
- Video Salient Object Detection via Contrastive Features and Attention Modules
- HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles
- Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
- HmBlogs: A big general Persian corpus
- Subpixel Heatmap Regression for Facial Landmark Localization
- SVD-Embedded Deep Autoencoder for MIMO Communications
- Multivariate feature ranking of gene expression data
- Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
- A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
- Memory Association Networks
- Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators
- Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
- HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation
- LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
- Geodesic Length Distribution in Sparse Network Ensembles
- Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
- ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle
- End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
- A Comparison of Deep Learning Models for the Prediction of Hand Hygiene Videos
- Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
- Online Learning of Energy Consumption for Navigation of Electric Vehicles
- Leveraging Causal Graphs for Blocking in Randomized Experiments
- On the Effectiveness of Interpretable Feedforward Neural Network
- Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score
- STC speaker recognition systems for the NIST SRE 2021
- Photometric Search for Exomoons by using Convolutional Neural Networks
- Privately Publishable Per-instance Privacy
- Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
- Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
- Manipulation of Granular Materials by Learning Particle Interactions
- Multi-Cue Adaptive Emotion Recognition Network
- Convolutional Motif Kernel Networks
- SERC: Syntactic and Semantic Sequence based Event Relation Classification
- A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
- Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points
- Learned Image Compression for Machine Perception
- Brain-inspired Cognition in Next Generation Racetrack Memories
- Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities
- From global to local MDI variable importances for random forests and when they are Shapley values
- Automatic Embedding of Stories Into Collections of Independent Media
- Deep Least Squares Alignment for Unsupervised Domain Adaptation
- Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
- Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution
- Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training
- BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
- Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks
- Unsupervised detection and open-set classification of fast-ramped flexibility activation events
- A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition
- Power Flow Balancing with Decentralized Graph Neural Networks
- The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models
- Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework
All 151
- Data structure > labels? Unsupervised heuristics for SVM hyperparameter estimation
- A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs
- Regularization by Misclassification in ReLU Neural Networks
- Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search
- Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification
- An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
- Efficient 3D Deep LiDAR Odometry
- Predictive Auto-scaling with OpenStack Monasca
- Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb
- Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge
- Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task
- Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies
- LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
- Automatic Evaluation and Moderation of Open-domain Dialogue Systems
- Model-Based Episodic Memory Induces Dynamic Hybrid Controls
- Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation
- Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task
- Federated Expectation Maximization with heterogeneity mitigation and variance reduction
- An Explanation of In-context Learning as Implicit Bayesian Inference
- Influence of image noise on crack detection performance of deep convolutional neural networks
- FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance
- Dual Progressive Prototype Network for Generalized Zero-Shot Learning
- The Impact of Batch Learning in Stochastic Bandits
- Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems
- Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data
- Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data
- Rethinking the Image Feature Biases Exhibited by Deep CNN Models
- Deep Point Set Resampling via Gradient Fields
- Categorical Difference and Related Brain Regions of the Attentional Blink Effect
- Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation
- A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches
- Fair-SSL: Building fair ML Software with less data
- Building Legal Datasets
- The Powerful Use of AI in the Energy Sector: Intelligent Forecasting
- Learning in Online MDPs: Is there a Price for Handling the Communicating Case?
- Scalable mixed-domain Gaussian process modeling and model reduction for longitudinal data
- Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
- Neural network is heterogeneous: Phase matters more
- Oblique and rotation double random forest
- Certifiable Artificial Intelligence Through Data Fusion
- Automated, real-time hospital ICU emergency signaling: A field-level implementation
- OpenPrompt: An Open-source Framework for Prompt-learning
- Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
- Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval
- Obvious Manipulability of Voting Rules
- A new method for binary classification of proteins with Machine Learning
- Binary classification of proteins by a Machine Learning approach
- PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism
- A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
- Adversarially Perturbed Wavelet-based Morphed Face Generation
- One Pass ImageNet