Papers
Mon 15 Mar 2021
136 papers
- Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Learning robust driving policies without online explorationEnd-to-end autonomous driving → Reinforcement learning for driving
- AI Fairness via Domain Adaptation
- Group Collaborative Learning for Co-Salient Object Detection
- Connectionism, Complexity, and Living Systems: a comparison of Artificial and Biological Neural Networks
- Regenerativity of Viterbi process for pairwise Markov models
- Interpretable Feature Construction for Time Series Extrinsic Regression
- Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP
- Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks
- Physics-Informed Neural Network Method for Solving One-Dimensional Advection Equation Using PyTorch
- Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
- Fast and Accurate: Video Enhancement using Sparse Depth
- Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
- A Transition-based Parser for Unscoped Episodic Logical Forms
- Revisiting Dynamic Convolution via Matrix Decomposition
- Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
- S3Net: 3D LiDAR Sparse Semantic Segmentation Network
- Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
- Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
- Category Aware Explainable Conversational Recommendation
- A Central Limit Theorem for Differentially Private Query Answering
- Multi-task learning for virtual flow metering
- Deep Learning for Chest X-ray Analysis: A Survey
- dNNsolve: an efficient NN-based PDE solver
- Function approximation by deep neural networks with parameters 0,± frac12, ± 1, 2
- Discriminative Learning for Probabilistic Context-Free Grammars based on Generalized H-Criterion
- The Effect of Domain and Diacritics in Yor`ub'a-English Neural Machine Translation
- Tomography of time-dependent quantum spin networks with machine learning
- UPANets: Learning from the Universal Pixel Attention Networks
- Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
- Autonomous Drone Racing with Deep Reinforcement Learning
- Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
- iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)
- Efficient Intrusion Detection Using Evidence Theory
- RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
- DHASP: Differentiable Hearing Aid Speech Processing
- Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data
- Meta-Solver for Neural Ordinary Differential Equations
- A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
- Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
- Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
- Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?
- Visualizing Data Velocity using DSNE
- Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images
- Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video
- DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients
- Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
- How Many Data Points is a Prompt Worth?
- Uncertainty-Based Biological Age Estimation of Brain MRI Scans
- Multi-view Subword Regularization
- Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks
- Deep Consensus Learning
- Automatically Lock Your Neural Networks When You're Away
- Beyond Image to Depth: Improving Depth Prediction using Echoes
- How to distribute data across tasks for meta-learning?
- Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
- Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
- Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
- S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection
- Online Learning with Radial Basis Function Networks
- A machine learning approach to itinerary-level booking prediction in competitive airline markets
- Quantum federated learning through blind quantum computing
- Metric Learning for Anti-Compression Facial Forgery Detection
- Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles
- Flexible FOND Planning with Explicit Fairness Assumptions
- Estimating the Long-Term Effects of Novel Treatments
- Probabilistic Grammatical Evolution
- Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
- Toward Machine Learned Highly Reduce Kinetic Models For Methane/Air Combustion
- Assessment of image generation by quantum annealer
- Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition
- Towards the evaluation of automatic simultaneous speech translation from a communicative perspective
- Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts
- Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
- I-Nema: A Biological Image Dataset for Nematode Recognition
- Neural Networks and Denotation
- Knowledge driven Description Synthesis for Floor Plan Interpretation
- GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
- TinyOL: TinyML with Online-Learning on Microcontrollers
- 3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks
- Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
- DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
- Trust Your IMU: Consequences of Ignoring the IMU Drift
- Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
- Representation Theorem for Matrix Product States
- Learning Compositional Representation for 4D Captures with Neural ODE
- DIPPA: An improved Method for Bilinear Saddle Point Problems
- Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
- The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
- Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
- Boosting ship detection in SAR images with complementary pretraining techniques
- Hierarchical forecasting with a top-down alignment of independent level forecasts
- Evolving parametrized Loss for Image Classification Learning on Small Datasets
- Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
- Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
- Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
- Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
- Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
- Detecting Human-Object Interaction via Fabricated Compositional Learning
- Cascaded Feature Warping Network for Unsupervised Medical Image Registration
All 136
- XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
- 3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
- Geometric Change Detection in Digital Twins using 3D Machine Learning
- Mention-centered Graph Neural Network for Document-level Relation Extraction
- Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
- Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
- Semi-supervised learning by selective training with pseudo labels via confidence estimation
- Adversarial Training is Not Ready for Robot Learning
- Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
- A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
- Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
- Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
- Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
- DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
- Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
- S^*: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
- LARNet: Lie Algebra Residual Network for Face Recognition
- Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
- Generating CCG Categories
- Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
- Detection and Localization of Facial Expression Manipulations
- R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method
- Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
- Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
- Boundary Proposal Network for Two-Stage Natural Language Video Localization
- Mutual Information State Intrinsic Control
- MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization
- Classifying Cycling Hazards in Egocentric Data
- Towards Robust Speech-to-Text Adversarial Attack
- Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
- EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields
- Exploring Genetic-histologic Relationships in Breast Cancer
- Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI
- Pushing the Limits of Capsule Networks
- Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers