Papers
Wed 14 Jul 2021
141 papers
- Diff-Net: Image Feature Difference based High-Definition Map Change Detection for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Federated Mixture of ExpertsMixture-of-experts → Federated mixture-of-experts
- Deep Adaptive Multi-Intention Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19
- Integrating LSTMs and GNNs for COVID-19 Forecasting
- Neural Representation Learning for Scribal Hands of Linear B
- An Efficient DP-SGD Mechanism for Large Scale NLP Models
- Ethical AI for Social Good
- Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions
- Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning
- MARC: Mining Association Rules from datasets by using Clustering models
- Deep Learning with Nonsmooth Objectives
- Multiclass Permanent Magnets Superstructure for Indoor Localization using Artificial Intelligence
- Proceedings of the Sixteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice
- Learning-based Spectrum Sensing and Access in Cognitive Radios via Approximate POMDPs
- Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
- Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition
- Forgetting in Answer Set Programming -- A Survey
- Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
- Hybrid Bayesian Neural Networks with Functional Probabilistic Layers
- Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
- Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
- The Benchmark Lottery
- Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing
- Mapping Learning Algorithms on Data, a useful step for optimizing performances and their comparison
- Surgical Instruction Generation with Transformers
- Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
- MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference
- FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task
- HTLM: Hyper-Text Pre-Training and Prompting of Language Models
- Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
- On the impossibility of non-trivial accuracy under fairness constraints
- FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements
- Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
- Performance of Bayesian linear regression in a model with mismatch
- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting
- Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines
- Potential UAV Landing Sites Detection through Digital Elevation Models Analysis
- A Field Guide to Federated Optimization
- Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
- From Show to Tell: A Survey on Deep Learning-based Image Captioning
- Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
- TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning
- Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction
- Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
- "How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World
- Conservative Objective Models for Effective Offline Model-Based Optimization
- Federated Self-Training for Semi-Supervised Audio Recognition
- Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
- DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI
- A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
- Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
- YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
- Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- Meta-Optimization of Deep CNN for Image Denoising Using LSTM
- Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
- Parallel and High-Fidelity Text-to-Lip Generation
- Composing Conversational Negation
- Efficient Approximate Search for Sets of Vectors
- Deep Learning based Novel View Synthesis
- RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining
- BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
- Indonesia's Fake News Detection using Transformer Network
- Large-Scale News Classification using BERT Language Model: Spark NLP Approach
- MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
- Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
- BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
- Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
- DIT4BEARs Smart Roads Internship
- Fast and Slow Enigmas and Parental Guidance
- Dynamic Event Camera Calibration
- Artificial Intelligence in PET: an Industry Perspective
- Efficient Learning of Pinball TWSVM using Privileged Information and its applications
- Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
- Fairness in Ranking under Uncertainty
- PDC: Piecewise Depth Completion utilizing Superpixels
- DVMN: Dense Validity Mask Network for Depth Completion
- MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
- Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
- Zero-Round Active Learning
- Differential-Critic GAN: Generating What You Want by a Cue of Preferences
- Safer Reinforcement Learning through Transferable Instinct Networks
- Unsupervised Neural Rendering for Image Hazing
- Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
- Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
- M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond
- Disparity Between Batches as a Signal for Early Stopping
- Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
- A Framework for Machine Learning of Model Error in Dynamical Systems
- DeepMutants: Training neural bug detectors with contextual mutations
- Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
- ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus
- Online Evaluation Methods for the Causal Effect of Recommendations
- Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization
- Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
- Oblivious sketching for logistic regression
- Continuous vs. Discrete Optimization of Deep Neural Networks
- A Granular Sieving Algorithm for Deterministic Global Optimization
All 141
- IFedAvg: Interpretable Data-Interoperability for Federated Learning
- A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
- A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
- QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
- Importance-based Neuron Allocation for Multilingual Neural Machine Translation
- MESS: Manifold Embedding Motivated Super Sampling
- Probabilistic Human Motion Prediction via A Bayesian Neural Network
- Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
- Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
- The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity
- ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
- TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence
- Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
- Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
- Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
- Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
- Graph Jigsaw Learning for Cartoon Face Recognition
- Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
- Learning Algebraic Recombination for Compositional Generalization
- CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
- Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
- AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
- Deduplicating Training Data Makes Language Models Better
- Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
- RCLC: ROI-based joint conventional and learning video compression
- From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
- A Convolutional Neural Network Approach to the Classification of Engineering Models
- Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
- Spectrum Gaussian Processes Based On Tunable Basis Functions
- Linking Health News to Research Literature
- Model-Parallel Model Selection for Deep Learning Systems
- Going Beyond Linear RL: Sample Efficient Neural Function Approximation
- Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
- AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
- End-to-end Ultrasound Frame to Volume Registration
- Hierarchical Associative Memory
- MSFNet:Multi-scale features network for monocular depth estimation
- GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images
- Centralized Model and Exploration Policy for Multi-Agent RL
- A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU