Papers
Wed 3 Feb 2021
135 papers
- MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
- Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach
- Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities
- Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits
- A Data-Driven Approach to Violin Making
- Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary
- Directive Explanations for Actionable Explainability in Machine Learning Applications
- Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss
- OmiEmbed: a unified multi-task deep learning framework for multi-omics data
- Disease Prediction with a Maximum Entropy Method
- Hybrid consistency and plausibility verification of product data according to FIC
- Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
- No-reference denoising of low-dose CT projections
- Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models
- MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
- Simulated annealing from continuum to discretization: a convergence analysis via the Eyring--Kramers law
- Environment Predictive Coding for Embodied Agents
- On the Approximation Power of Two-Layer Networks of Random ReLUs
- Self-Supervised Claim Identification for Automated Fact Checking
- Modeling Financial Products and their Supply Chains
- Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
- Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
- One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
- Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning
- Causal Sufficiency and Actual Causation
- Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
- Improved Cooperation by Exploiting a Common Signal
- Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
- Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products
- Variational Bayes survival analysis for unemployment modelling
- Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services
- Nearest Neighbor-based Importance Weighting
- Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography
- Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks
- Neural Recursive Belief States in Multi-Agent Reinforcement Learning
- Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
- A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
- DEFT: Detection Embeddings for Tracking
- Embodied Intelligence via Learning and Evolution
- When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
- CountSketches, Feature Hashing and the Median of Three
- DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation
- Bootstrapping Multilingual AMR with Contextual Word Alignments
- Disambiguatory Signals are Stronger in Word-initial Positions
- Outlier-Robust Learning of Ising Models Under Dobrushin's Condition
- Algorithmic Instabilities of Accelerated Gradient Descent
- Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
- Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
- Adversarially Robust Learning with Unknown Perturbation Sets
- BeFair: Addressing Fairness in the Banking Sector
- The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization
- IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
- The Pitfall of More Powerful Autoencoders in Lidar-Based Navigation
- Generative deep learning for decision making in gas networks
- TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
- Detecting Bias in Transfer Learning Approaches for Text Classification
- Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysis
- Learning to Match Mathematical Statements with Proofs
- Object and Relation Centric Representations for Push Effect Prediction
- Learning to Select External Knowledge with Multi-Scale Negative Sampling
- What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach
- Uncertain Time Series Classification With Shapelet Transform
- Investigating Critical Risk Factors in Liver Cancer Prediction
- PARAFAC2 AO-ADMM: Constraints in all modes
- Focusing Knowledge-based Graph Argument Mining via Topic Modeling
- Top-down Discourse Parsing via Sequence Labelling
- Federated Learning on Non-IID Data Silos: An Experimental Study
- Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
- Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
- Trusted Multi-View Classification
- On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
- Isometric Propagation Network for Generalized Zero-shot Learning
- Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
- Frank-Wolfe with a Nearest Extreme Point Oracle
- Music source separation conditioned on 3D point clouds
- Learning Graph Representations
- Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
- Social Network Analysis of Hadith Narrators from Sahih Bukhari
- Robust pedestrian detection in thermal imagery using synthesized images
- A generalised feature for low level vision
- Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
- Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
- Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram
- A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
- Learning Graph Embeddings for Compositional Zero-shot Learning
- Variance Penalized On-Policy and Off-Policy Actor-Critic
- Unobserved classes and extra variables in high-dimensional discriminant analysis
- Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
- Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
- AttentionFlow: Visualising Influence in Networks of Time Series
- A Bayesian Neural Network based on Dropout Regulation
- Local Critic Training for Model-Parallel Learning of Deep Neural Networks
- Time Series Classification via Topological Data Analysis
- Predictive coding feedback results in perceived illusory contours in a recurrent neural network
- You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network
- Mind the Gap: Assessing Temporal Generalization in Neural Language Models
- Multi-Scale Cost Volumes Cascade Network for Stereo Matching
- How good is Good-Turing for Markov samples?
- A Bayesian Federated Learning Framework with Online Laplace Approximation
- Noise-robust classification with hypergraph neural network
All 135
- General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
- Regularization Strategy for Point Cloud via Rigidly Mixed Sample
- 1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
- Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
- HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition
- Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
- A Scalable Two Stage Approach to Computing Optimal Decision Sets
- LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign
- Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
- Length Learning for Planar Euclidean Curves
- Relaxed Transformer Decoders for Direct Action Proposal Generation
- Multi-Instance Learning by Utilizing Structural Relationship among Instances
- Learning Diverse-Structured Networks for Adversarial Robustness
- Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
- AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
- Learning to identify image manipulations in scientific publications
- Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network
- Causal Collaborative Filtering
- Impact of Data Processing on Fairness in Supervised Learning
- Deep CNNs for large scale species classification
- Towards Robust Neural Networks via Close-loop Control
- L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
- Provably Secure Federated Learning against Malicious Clients
- Organization of a Latent Space structure in VAE/GAN trained by navigation data
- UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
- An Investigation Between Schema Linking and Text-to-SQL Performance
- Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus
- A Computational Framework for Slang Generation
- Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
- Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
- Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
- TAD: Trigger Approximation based Black-box Trojan Detection for AI
- Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
- The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient
- Building population models for large-scale neural recordings: opportunities and pitfalls