Papers
Tue 4 May 2021
136 papers
- Hard Choices and Hard Limits for Artificial Intelligence
- The Flipped Classroom model for teaching Conditional Random Fields in an NLP course
- The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT
- Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
- Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection
- Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
- Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
- Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
- Real-time Deep Dynamic Characters
- Intensity Harmonization for Airborne LiDAR
- Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery
- Nonparametric Trace Regression in High Dimensions via Sign Series Representation
- Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
- PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
- Envisioning Communities: A Participatory Approach Towards AI for Social Good
- Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
- Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
- Enabling 3D Object Detection with a Low-Resolution LiDAR
- Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data
- Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks
- WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors
- Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits
- Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm
- Information Complexity and Generalization Bounds
- Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
- Retrieving Complex Tables with Multi-Granular Graph Representation Learning
- HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
- Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment
- GANs for Urban Design
- Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV
- A Fast Partial Video Copy Detection Using KNN and Global Feature Database
- COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
- Sampling From the Wasserstein Barycenter
- Attention-based Stylisation for Exemplar Image Colourisation
- Effectively Leveraging Attributes for Visual Similarity
- Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
- Height Estimation of Children under Five Years using Depth Images
- A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
- The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
- Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis
- On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
- Motion-Augmented Self-Training for Video Recognition at Smaller Scale
- Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
- Learning 3D Granular Flow Simulations
- Remote Pathological Gait Classification System
- An Estimation of Online Video User Engagement from Features of Continuous Emotions
- Poisoning the Unlabeled Dataset of Semi-Supervised Learning
- Data-Efficient Reinforcement Learning for Malaria Control
- Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
- Orienting Point Clouds with Dipole Propagation
- Federated Multi-View Learning for Private Medical Data Integration and Analysis
- MLP-Mixer: An all-MLP Architecture for Vision
- Self-Improving Semantic Perception for Indoor Localisation
- Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
- HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation
- Riemannian Geometry with differentiable ambient space and metric operator
- Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)
- Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
- PreSizE: Predicting Size in E-Commerce using Transformers
- Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition
- Broadly Applicable Targeted Data Sample Omission Attacks
- Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation
- A Finer Calibration Analysis for Adversarial Robustness
- Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
- Apparel Recommender System based on Bilateral image shape features
- VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding
- Where and When: Space-Time Attention for Audio-Visual Explanations
- Multipath Graph Convolutional Neural Networks
- Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
- Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*
- Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN
- Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media
- GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts
- On the Sample Complexity of Rank Regression from Pairwise Comparisons
- Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction
- The Role of Time and Data: Online Conformance Checking in the Manufacturing Domain
- Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification
- Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
- mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques
- NeuralLog: a Neural Logic Language
- Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
- Towards Accountability in the Use of Artificial Intelligence for Public Administrations
- Enhancing Generalizability of Predictive Models with Synergy of Data and Physics
- Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
- Two-Stage Facility Location Games with Strategic Clients and Facilities
- On the Linear convergence of Natural Policy Gradient Algorithm
- Learning Traffic Speed Dynamics from Visualizations
- Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
- Automatic Learning to Detect Concept Drift
- A Review on Oracle Issues in Machine Learning
- TimeGym: Debugging for Time Series Modeling in Python
- An Overview of Laser Injection against Embedded Neural Network Models
- Using Twitter Attribute Information to Predict Stock Prices
- A Review of Confidentiality Threats Against Embedded Neural Network Models
- Optimal Algorithms for Range Searching over Multi-Armed Bandits
- Weak Multi-View Supervision for Surface Mapping Estimation
- Canonical Saliency Maps: Decoding Deep Face Models
- Deep Extended Feedback Codes
- One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
- Implicit Regularization in Deep Tensor Factorization
All 136
- An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
- Signal automata and hidden Markov models
- Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration
- BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter
- Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
- Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
- Large-scale Taxonomy Induction Using Entity and Word Embeddings
- Personalized Algorithm Generation: A Case Study in Learning ODE Integrators
- LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
- Semantic Extractor-Paraphraser based Abstractive Summarization
- Hallucination Improves Few-Shot Object Detection
- Dual-Cross Central Difference Network for Face Anti-Spoofing
- Representation Learning for Clustering via Building Consensus
- Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
- COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
- Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
- Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
- VersaGNN: a Versatile accelerator for Graph neural networks
- ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders
- Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
- Graph Pooling via Coarsened Graph Infomax
- WiFi Fingerprint Clustering for Urban Mobility Analysis
- Semantic Modeling for Food Recommendation Explanations
- Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
- End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels
- Self-Supervised Approach for Facial Movement Based Optical Flow
- Streaming end-to-end speech recognition with jointly trained neural feature enhancement
- Regret-Optimal LQR Control
- End-to-end One-shot Human Parsing
- Supervised multi-specialist topic model with applications on large-scale electronic health record data
- COMISR: Compression-Informed Video Super-Resolution
- GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
- A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schr"odinger Eigenvalue Problems
- Causal factors discovering from Chinese construction accident cases
- Polynomial-Time Algorithms for Multi-Agent Minimal-Capacity Planning
- Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems