Papers
Sun 5 Sep 2021
60 papers
- Data Efficient Masked Language Modeling for Vision and LanguageMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Cross-token Modeling with Conditional ComputationMixture-of-experts → Vision mixture-of-experts
- DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode
- Recommendation Fairness: From Static to Dynamic
- Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
- Square Root Marginalization for Sliding-Window Bundle Adjustment
- Transformer Models for Text Coherence Assessment
- Multi-Agent Variational Occlusion Inference Using People as Sensors
- Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
- Robust Attentive Deep Neural Network for Exposing GAN-generated Faces
- FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces
- Modular Framework for Visuomotor Language Grounding
- Urban Fire Station Location Planning using Predicted Demand and Service Quality Index
- Learning with Holographic Reduced Representations
- Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition
- Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
- Temporal Shift Reinforcement Learning
- A Transformer-based Model to Detect Phishing URLs
- Efficient Action Recognition Using Confidence Distillation
- Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
- Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
- VARGAN: Variance Enforcing Network Enhanced GAN
- Light Field-Based Underwater 3D Reconstruction Via Angular Resampling
- Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN
- Teaching Autoregressive Language Models Complex Tasks By Demonstration
- Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
- Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
- Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
- (M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation
- Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering
- Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
- Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method
- Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
- Global-Local Item Embedding for Temporal Set Prediction
- End-to-End Self-Debiasing Framework for Robust NLU Training
- Hierarchical Object-to-Zone Graph for Object Navigation
- Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
- GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
- The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
- Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
- Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
- NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
- Variational Physics Informed Neural Networks: the role of quadratures and test functions
- Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
- Structural Optimization Makes Graph Classification Simpler and Better
- Re-entry Prediction for Online Conversations via Self-Supervised Learning
- Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
- Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot
- A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
- Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
- Automatic Online Multi-Source Domain Adaptation
- Optimal transport weights for causal inference
- Training Meta-Surrogate Model for Transferable Adversarial Attack
- Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
- Deep Saliency Prior for Reducing Visual Distraction
- Scalable Feature Selection for (Multitask) Gradient Boosted Trees
- Counterfactual Evaluation for Explainable AI
- SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
- An Exploration of Deep Learning Methods in Hungry Geese