Papers
Fri 14 May 2021
124 papers
- RetGen: A Joint framework for Retrieval and Grounded Text Generation ModelingMixture-of-experts → MoE large language models
- Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images
- Empirical Analysis of Image Caption Generation using Deep Learning
- Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application
- Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise
- Partitioned Active Learning for Heterogeneous Systems
- Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
- Conjunction Data Messages behave as a Poisson Process
- Feature-Based Interpretable Reinforcement Learning based on State-Transition Models
- Verification of Image-based Neural Network Controllers Using Generative Models
- MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
- Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare
- High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
- Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
- Visual analogy: Deep learning versus compositional models
- Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
- Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
- Face Attributes as Cues for Deep Face Recognition Understanding
- SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation
- Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks
- Cause and Effect: Hierarchical Concept-based Explanation of Neural Networks
- Learning a Universal Template for Few-shot Dataset Generalization
- A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations
- Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide
- A hyperparameter-tuning approach to automated inverse planning
- SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
- A causal learning framework for the analysis and interpretation of COVID-19 clinical data
- Omnimatte: Associating Objects and Their Effects in Video
- BERT Busters: Outlier Dimensions that Disrupt Transformers
- Automatic Non-Linear Video Editing Transfer
- Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
- Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
- EASE: Extractive-Abstractive Summarization with Explanations
- Do Context-Aware Translation Models Pay the Right Attention?
- Open-set Face Recognition for Small Galleries Using Siamese Networks
- Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
- BNNpriors: A library for Bayesian neural network inference with different prior distributions
- Thompson Sampling for Gaussian Entropic Risk Bandits
- A Hypothesis Testing Approach to Nonstationary Source Separation
- Information-theoretic Evolution of Model Agnostic Global Explanations
- Plot and Rework: Modeling Storylines for Visual Storytelling
- People construct simplified mental representations to plan
- Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
- Deep learned SVT: Unrolling singular value thresholding to obtain better MSE
- On Measuring the Diversity of Organizational Networks
- Hierarchical Architectures in Reservoir Computing Systems
- QAConv: Question Answering on Informative Conversations
- Adapting deep generative approaches for getting synthetic data with realistic marginal distributions
- Posterior Regularization on Bayesian Hierarchical Mixture Clustering
- DoS and DDoS Mitigation Using Variational Autoencoders
- A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution
- End-to-end Alternating Optimization for Blind Super Resolution
- Privacy-preserving Logistic Regression with Secret Sharing
- Priors in Bayesian Deep Learning: A Review
- VICE: Visual Identification and Correction of Neural Circuit Errors
- Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects
- Deep Learning Based RIS Channel Extrapolation with Element-grouping
- Sparsity-Probe: Analysis tool for Deep Learning Models
- Predicting speech intelligibility from EEG in a non-linear classification paradigm
- Towards Navigation by Reasoning over Spatial Configurations
- Threshold Martingales and the Evolution of Forecasts
- Exploiting Aliasing for Manga Restoration
- Empathetic Dialog Generation with Fine-Grained Intents
- Profitable Strategy Design for Trades on Cryptocurrency Markets with Machine Learning Techniques
- Domestic waste detection and grasping points for robotic picking up
- Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
- Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination
- Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
- A cost-benefit analysis of cross-lingual transfer methods
- Quantified Sleep: Machine learning techniques for observational n-of-1 studies
- Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
- Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
- Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
- Partitioned Deep Learning of Fluid-Structure Interaction
- Efficient PAC Reinforcement Learning in Regular Decision Processes
- SAT-Based Rigorous Explanations for Decision Lists
- DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images
- Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
- DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
- Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning
- Long Short-term Memory RNN
- Learning Group Activities from Skeletons without Individual Action Labels
- Classifying Long Clinical Documents with Pre-trained Transformers
- Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
- Troubleshooting Blind Image Quality Models in the Wild
- Facial Age Estimation using Convolutional Neural Networks
- Cybersecurity Anomaly Detection in Adversarial Environments
- A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement
- Automated segmentation of microtomography imaging of Egyptian mummies
- Verification of Size Invariance in DNN Activations using Concept Embeddings
- Meta-Inductive Node Classification across Graphs
- RC2020 Report: Learning De-biased Representations with Biased Representations
- Neural-Symbolic Commonsense Reasoner with Relation Predictors
- Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
- Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
- REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition
- Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
- Building Affordance Relations for Robotic Agents - A Review
- Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence
All 124
- Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
- DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing
- Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
- XAI Handbook: Towards a Unified Framework for Explainable AI
- Attentional Prototype Inference for Few-Shot Segmentation
- Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
- Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
- One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
- Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
- Monash Time Series Forecasting Archive
- COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
- Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
- An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution
- Ordering-Based Causal Discovery with Reinforcement Learning
- Biometrics: Trust, but Verify
- City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
- Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
- Meta Auxiliary Learning for Facial Action Unit Detection
- How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
- Towards Equity and Algorithmic Fairness in Student Grade Prediction
- Adversarial Learning for Zero-Shot Stance Detection on Social Media
- Learning Gaussian Graphical Models with Latent Confounders
- TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video
- Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation