Papers
Thu 20 May 2021
149 papers
- Data-Free Knowledge Distillation for Heterogeneous Federated LearningKnowledge distillation → Federated, robust and private distillation
- Preventing Machine Learning Poisoning Attacks Using Authentication and ProvenanceLLM safety and security → Backdoor and data poisoning attacks
- Cross-domain Imitation from ObservationsOffline RL and imitation learning from data → Imitation learning methods
- Evaluating Robustness over High Level Driving Instruction for Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Objective-aware Traffic Simulation via Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Drone-based AI and 3D Reconstruction for Digital Twin Augmentation
- Document Domain Randomization for Deep Learning Document Layout Extraction
- RaspberryPI for mosquito neutralization by power laser
- MBIC -- A Media Bias Annotation Dataset Including Annotator Characteristics
- Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networks
- A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
- Definite Non-Ancestral Relations and Structure Learning
- Towards Scalable Modeling of Biology in Event-B
- Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion
- A Probabilistic Approach to Neural Network Pruning
- Fair and Efficient Resource Allocation with Partial Information
- Uma implementacc~ao do jogo Pedra, Papel e Tesoura utilizando Visao Computacional
- Model Compression
- To do or not to do: finding causal relations in smart homes
- A Rule Mining-Based Advanced Persistent Threats Detection System
- Learning Modular Robot Control Policies
- A Streaming End-to-End Framework For Spoken Language Understanding
- Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection
- Improving Generation and Evaluation of Visual Stories via Semantic Consistency
- ASQ: Automatically Generating Question-Answer Pairs using AMRs
- Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention
- Scalable Multirobot Planning for Informed Spatial Sampling
- Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees
- Opening Deep Neural Networks with Generative Models
- Comment on Stochastic Polyak Step-Size: Performance of ALI-G
- Robust Unsupervised Multi-Object Tracking in Noisy Environments
- VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
- Kernel Stein Discrepancy Descent
- Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
- Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
- Multi-group Agnostic PAC Learnability
- Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities
- Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
- Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
- Optimizing Neural Network Weights using Nature-Inspired Algorithms
- Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
- Epistemic Planning with Attention as a Bounded Resource
- Pseudo Pixel-level Labeling for Images with Evolving Content
- Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
- Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
- On planetary systems as ordered sequences
- XGBoost energy consumption prediction based on multi-system data HVAC
- Face, Body, Voice: Video Person-Clustering with Multiple Modalities
- Measuring Coding Challenge Competence With APPS
- AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
- BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image
- Probing the Effect of Selection Bias on Generalization: A Thought Experiment
- Efficient and Robust LiDAR-Based End-to-End Navigation
- Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
- Neural networks with superexpressive activations and integer weights
- CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
- POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound
- Multi-Perspective Anomaly Detection
- Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles
- DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry
- DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
- EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
- A practical introduction to the Rational Speech Act modeling framework
- Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction
- High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
- Multiple Support Recovery Using Very Few Measurements Per Sample
- Flexible Compositional Learning of Structured Visual Concepts
- M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments
- Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
- Head-driven Phrase Structure Parsing in O(n3) Time Complexity
- Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
- Personalized Counterfactual Fairness in Recommendation
- A comparative evaluation and analysis of three generations of Distributional Semantic Models
- DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization
- Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
- Weakly-Supervised Physically Unconstrained Gaze Estimation
- Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series
- Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
- Explainable Activity Recognition for Smart Home Systems
- A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos
- Anchor-based Plain Net for Mobile Image Super-Resolution
- Evaluating the Correctness of Explainable AI Algorithms for Classification
- Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
- Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
- Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics
- A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
- An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction
- A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report
- An Empirical Study of Vehicle Re-Identification on the AI City Challenge
- Hierarchical Non-Stationary Temporal Gaussian Processes With L1-Regularization
- Simple Transparent Adversarial Examples
- Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification
- DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
- Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
- KLUE: Korean Language Understanding Evaluation
- Improved Neuronal Ensemble Inference with Generative Model and MCMC
- On the Parameterized Complexity of Polytree Learning
- An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network
- Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
- Towards Target-dependent Sentiment Classification in News Articles
All 149
- A Connected Component Labelling algorithm for multi-pixel per clock cycle video stream
- LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures
- Towards Detecting Need for Empathetic Response in Motivational Interviewing
- Survey and Perspective on Social Emotions in Robotics
- Content-adaptive Representation Learning for Fast Image Super-resolution
- Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
- TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
- Semantic segmentation of multispectral photoacoustic images using deep learning
- Nonlinear Hawkes Process with Gaussian Process Self Effects
- Dependency Parsing with Bottom-up Hierarchical Pointer Networks
- Learning Robust Recommenders through Cross-Model Agreement
- See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
- FVC: A New Framework towards Deep Video Compression in Feature Space
- More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching
- AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection
- Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
- Intra-Model Collaborative Learning of Neural Networks
- Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
- Aggregate Learning for Mixed Frequency Data
- BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
- The impact of virtual mirroring on customer satisfaction
- Unified Dual-view Cognitive Model for Interpretable Claim Verification
- Dual-side Sparse Tensor Core
- Power-law escape rate of SGD
- A low-rank representation for unsupervised registration of medical images
- Egocentric Activity Recognition and Localization on a 3D Map
- Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
- Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
- On the α-lazy version of Markov chains in estimation and testing problems
- Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
- Medical Image Segmentation Using Squeeze-and-Expansion Transformers
- Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
- Physics-informed neural networks (PINNs) for fluid mechanics: A review
- Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
- A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
- DeepCAD: A Deep Generative Network for Computer-Aided Design Models
- Generalized Few-Shot Object Detection without Forgetting
- Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context
- Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
- Federated Artificial Intelligence for Unified Credit Assessment
- Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
- Decomposing reverse-mode automatic differentiation
- Content-Augmented Feature Pyramid Network with Light Linear Spatial Transformers for Object Detection
- MLBiNet: A Cross-Sentence Collective Event Detection Network
- Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
- Anabranch Network for Camouflaged Object Segmentation
- Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification
- VTNet: Visual Transformer Network for Object Goal Navigation
- A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver