Papers
Fri 19 Nov 2021
131 papers
- Generalized Decision Transformer for Offline Hindsight Information MatchingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- A Feedback Integrated Web-Based Multi-Criteria Group Decision Support Model for Contractor Selection using Fuzzy Analytic Hierarchy Process
- A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
- Compresion y analisis de imagenes por medio de algoritmos para la ganaderia de precision
- Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare
- Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics
- Machine Learning-Based Soft Sensors for Vacuum Distillation Unit
- Action Recognition with Domain Invariant Features of Skeleton Image
- Learn Quasi-stationary Distributions of Finite State Markov Chain
- Client Selection in Federated Learning based on Gradients Importance
- PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing
- TransMorph: Transformer for unsupervised medical image registration
- Towards Return Parity in Markov Decision Processes
- SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes
- Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
- Identifying Population Movements with Non-Negative Matrix Factorization from Wi-Fi User Counts in Smart and Connected Cities
- MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
- DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
- Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
- Machine Learning for Mechanical Ventilation Control (Extended Abstract)
- DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
- What Stops Learning-based 3D Registration from Working in the Real World?
- Data Excellence for AI: Why Should You Care
- The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
- Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary
- Urine Microscopic Image Dataset
- Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows
- ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction
- SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
- Solving Visual Analogies Using Neural Algorithmic Reasoning
- On the power of adaptivity in statistical adversaries
- Global and Local Alignment Networks for Unpaired Image-to-Image Translation
- Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
- GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation
- Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
- Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
- DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
- Physics-enhanced Neural Networks in the Small Data Regime
- Factorisation-based Image Labelling
- Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
- Unsupervised Visual Time-Series Representation Learning and Clustering
- Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
- An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree
- Expert-Guided Symmetry Detection in Markov Decision Processes
- Probabilistic Regression with Huber Distributions
- A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification
- Meta Adversarial Perturbations
- Adversarial Deep Learning for Online Resource Allocation
- The Joy of Neural Painting
- A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System
- Composite Goodness-of-fit Tests with Kernels
- Resilience from Diversity: Population-based approach to harden models against adversarial attacks
- FastDOG: Fast Discrete Optimization on GPU
- Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network
- Over-the-Air Federated Learning with Retransmissions (Extended Version)
- ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
- An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
- Panoptic Segmentation: A Review
- Non asymptotic bounds in asynchronous sum-weight gossip protocols
- Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari
- Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
- Posterior concentration and fast convergence rates for generalized Bayesian learning
- Interpreting deep urban sound classification using Layer-wise Relevance Propagation
- Xp-GAN: Unsupervised Multi-object Controllable Video Generation
- Policy Gradient Approach to Compilation of Variational Quantum Circuits
- Toxicity Detection can be Sensitive to the Conversational Context
- Semi-Supervised Domain Generalization with Evolving Intermediate Domain
- Towards Traffic Scene Description: The Semantic Scene Graph
- An Expectation-Maximization Perspective on Federated Learning
- Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
- Population based change-point detection for the identification of homozygosity islands
- Computing Graph Edit Distance with Algorithms on Quantum Devices
- Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
- Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis
- Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
- Word-Level Style Control for Expressive, Non-attentive Speech Synthesis
- Improved Prosodic Clustering for Multispeaker and Speaker-independent Phoneme-level Prosody Control
- Lattention: Lattice-attention in ASR rescoring
- Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
- DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
- Positional Encoder Graph Neural Networks for Geographic Data
- Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
- Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication
- More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech
- Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
- Grounded Situation Recognition with Transformers
- Fooling Adversarial Training with Inducing Noise
- Neural Image Beauty Predictor Based on Bradley-Terry Model
- A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
- Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
- Graph Neural Networks with Feature and Structure Aware Random Walk
- Deep Domain Adaptation for Pavement Crack Detection
- Does BERT look at sentiment lexicon?
- Lexicon-based Methods vs. BERT for Text Sentiment Analysis
- RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
- Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure
- Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors
- Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
- Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
- Enhanced countering adversarial attacks via input denoising and feature restoring
All 131
- Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor
- An Activity-Based Model of Transport Demand for Greater Melbourne
- DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
- Medical Visual Question Answering: A Survey
- Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
- Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors
- Combined Scaling for Zero-shot Transfer Learning
- Uniform Brackets, Containers, and Combinatorial Macbeath Regions
- Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages
- YMIR: A Rapid Data-centric Development Platform for Vision Applications
- Building a Question Answering System for the Manufacturing Domain
- Embeddings and labeling schemes for A*
- Spatio-Temporal Modeling for Flash Memory Channels Using Conditional Generative Nets
- Explaining GNN over Evolving Graphs using Information Flow
- Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
- IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
- UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
- Achievability and Impossibility of Exact Pairwise Ranking
- Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints
- CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
- UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
- ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets
- FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
- Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
- Differentiable Wavetable Synthesis
- TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
- LOLNeRF: Learn from One Look
- Esophageal virtual disease landscape using mechanics-informed machine learning
- Sketch-based Creativity Support Tools using Deep Learning
- Gaussian Determinantal Processes: a new model for directionality in data
- DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting