Papers
Thu 8 Jul 2021
142 papers
- RMA: Rapid Motor Adaptation for Legged RobotsWorld models → Humanoid and legged locomotion world models
- Offline Meta-Reinforcement Learning with Online Self-SupervisionOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
- Imitation by Predicting ObservationsOffline RL and imitation learning from data → Imitation learning methods
- Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning
- Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching
- Classifying Component Function in Product Assemblies with Graph Neural Networks
- Mitigating Memorization in Sample Selection for Learning with Noisy Labels
- Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations
- Physics-informed generative neural network: an application to troposphere temperature prediction
- Core-set Sampling for Efficient Neural Architecture Search
- Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks
- Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training
- Calliope -- A Polyphonic Music Transformer
- Nearest neighbour approaches for Emotion Detection in Tweets
- Parameter Selection: Why We Should Pay More Attention to It
- Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets
- Improving Model Robustness with Latent Distribution Locally and Globally
- MCMC Variational Inference via Uncorrected Hamiltonian Annealing
- Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
- Learning to Delegate for Large-scale Vehicle Routing
- Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices
- Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment
- A Systematic Survey of Text Worlds as Embodied Natural Language Environments
- Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
- Multitask Multi-database Emotion Recognition
- Many Objective Bayesian Optimization
- CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
- Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
- Ensembles of Randomized NNs for Pattern-based Time Series Forecasting
- Robust Counterfactual Explanations on Graph Neural Networks
- Improved Language Identification Through Cross-Lingual Self-Supervised Learning
- Accelerating Spherical k-Means
- A Triangle Inequality for Cosine Similarity
- Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
- Scaling Gaussian Processes with Derivative Information Using Variational Inference
- Machine Learning for Stuttering Identification: Review, Challenges and Future Directions
- 3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
- Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
- Adiabatic Quantum Graph Matching with Permutation Matrix Constraints
- TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
- Multi-Modality Task Cascade for 3D Object Detection
- Malware Classification Using Deep Boosted Learning
- Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing
- 3D Neural Scene Representations for Visuomotor Control
- Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
- Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
- A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
- Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
- Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
- EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
- Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning
- Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
- Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry
- On Margins and Derandomisation in PAC-Bayes
- Vector Space Morphology with Linear Discriminative Learning
- Task Fingerprinting for Meta Learning in Biomedical Image Analysis
- Locally differentially private estimation of nonlinear functionals of discrete distributions
- BF-QC: Belief Functions on Quantum Circuits
- Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
- Weight Reparametrization for Budget-Aware Network Pruning
- A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images
- Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
- Technical Report for Valence-Arousal Estimation in ABAW2 Challenge
- Uncertainty-Aware Camera Pose Estimation from Points and Lines
- Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
- Causal affect prediction model using a facial image sequence
- CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems
- Bootstrapping Generalization of Process Models Discovered From Event Data
- Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review
- Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms
- SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
- Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data
- Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
- A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
- Consistency of the Maximal Information Coefficient Estimator
- Asymptotic normality of robust M-estimators with convex penalty
- Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles
- Instance-Level Relative Saliency Ranking with Graph Reasoning
- Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
- Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
- COMBO: a new module for EUD parsing
- Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
- Deep Metric Learning Model for Imbalanced Fault Diagnosis
- Use of Affective Visual Information for Summarization of Human-Centric Videos
- Optimizing Data Processing in Space for Object Detection in Satellite Imagery
- Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories
- Federated Learning as a Mean-Field Game
- Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
- Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
- HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text
- Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
- Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
- Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
- Probabilistic Time Series Forecasting with Implicit Quantile Networks
- Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
- Adaptation of Quadruped Robot Locomotion with Meta-Learning
- Direct detection of plasticity onset through total-strain profile evolution
- Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables
All 142
- The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning
- Demystifying the Draft EU Artificial Intelligence Act
- Bag of Tricks for Neural Architecture Search
- Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
- Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
- Complete Scanning Application Using OpenCv
- Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
- An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes
- Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
- Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
- MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
- Feature Pyramid Network for Multi-task Affective Analysis
- Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
- MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications
- Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go?
- Deep Learning Based Image Retrieval in the JPEG Compressed Domain
- Assessment of hybrid machine learning models for non-linear system identification of fatigue test rigs
- Image restoration quality assessment based on regional differential information entropy
- A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing
- Sublinear Regret for Learning POMDPs
- Generalization Error of GAN from the Discriminator's Perspective
- Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation
- Predicting Disease Progress with Imprecise Lab Test Results
- Validation and Inference of Agent Based Models
- NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry
- Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
- SpecGrav -- Detection of Gravitational Waves using Deep Learning
- 4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping
- CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
- Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning
- Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
- Relation-Based Associative Joint Location for Human Pose Estimation in Videos
- Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition
- Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics
- Video 3D Sampling for Self-supervised Representation Learning
- Adaptive Stress Testing for Adversarial Learning in a Financial Environment
- Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
- Uncertainty-aware Human Motion Prediction
- Deep Structural Point Process for Learning Temporal Interaction Networks
- Unsupervised Proxy Selection for Session-based Recommender Systems
- Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
- Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning