Papers
Tue 2 Mar 2021
195 papers
- Offline Reinforcement Learning with Pseudometric LearningOffline RL and imitation learning from data → Offline RL algorithms
- Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable RasterizationEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentationKnowledge distillation → Distillation for medical imaging
- ActiveGuard: An Active DNN IP Protection Technique via Adversarial ExamplesLLM safety and security → Watermarking generated content and models
- Diffusion Probabilistic Models for 3D Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification
- Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis
- Significance tests of feature relevance for a black-box learner
- A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications
- Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
- Learning to run a Power Network Challenge: a Retrospective Analysis
- Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
- Generalizing to Unseen Domains: A Survey on Domain Generalization
- Pseudo-labeling for Scalable 3D Object Detection
- Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
- Minimax Model Learning
- Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
- DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
- Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
- Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making
- Variance Reduced Training with Stratified Sampling for Forecasting Models
- Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
- EnD: Entangling and Disentangling deep representations for bias correction
- DeepFake-o-meter: An Open Platform for DeepFake Detection
- Trading Signals In VIX Futures
- PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
- Online Adversarial Attacks
- Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
- On Information (pseudo) Metric
- Material Measurement Units for a Circular Economy: Foundations through a Review
- Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
- Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
- Adversarial Environment Generation for Learning to Navigate the Web
- Self-supervised Pretraining of Visual Features in the Wild
- CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
- The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
- Mixture of Volumetric Primitives for Efficient Neural Rendering
- Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
- Predicting Video with VQVAE
- Fixing Data Augmentation to Improve Adversarial Robustness
- Medical Imaging and Machine Learning
- Neural Production Systems: Learning Rule-Governed Visual Dynamics
- PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
- Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
- Categorical Foundations of Gradient-Based Learning
- SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification
- Slow-Growing Trees
- Masked Face Recognition: Human vs. Machine
- Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training
- WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
- MultiSubs: A Large-scale Multimodal and Multilingual Dataset
- Fairness in Credit Scoring: Assessment, Implementation and Profit Implications
- A Spectral Enabled GAN for Time Series Data Generation
- Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
- Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
- Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning
- Investigations on Audiovisual Emotion Recognition in Noisy Conditions
- Listen, Read, and Identify: Multimodal Singing Language Identification of Music
- Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
- DM algorithms in health industry
- Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks
- Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments
- Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots
- Dual Reinforcement-Based Specification Generation for Image De-Rendering
- Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
- Follow Your Nose -- Which Code Smells are Worth Chasing?
- Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
- Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
- Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
- HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
- Network Pruning via Resource Reallocation
- The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer
- Square Root Bundle Adjustment for Large-Scale Reconstruction
- Test Automation with Grad-CAM Heatmaps -- A Future Pipe Segment in MLOps for Vision AI?
- A Data-Centric Framework for Composable NLP Workflows
- Audio scene monitoring using redundant ad-hoc microphone array networks
- Factoring out prior knowledge from low-dimensional embeddings
- Strategic Classification Made Practical
- A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition
- The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
- Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19
- Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
- Median Optimal Treatment Regimes
- Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
- Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
- MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
- Single and Parallel Machine Scheduling with Variable Release Dates
- Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
- An Exploratory Study of Log Placement Recommendation in an Enterprise System
- Comparison of Methods Generalizing Max- and Average-Pooling
- IdentityDP: Differential Private Identification Protection for Face Images
- Image/Video Deep Anomaly Detection: A Survey
- Distilling Causal Effect of Data in Class-Incremental Learning
- Graph-Time Convolutional Neural Networks
- On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection
- Differentiable Inductive Logic Programming for Structured Examples
- Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
- Self-restrained Triplet Loss for Accurate Masked Face Recognition
- Distributional Formal Semantics
- Autobahn: Automorphism-based Graph Neural Nets
All 195
- Conversational Norms for Human-Robot Dialogues
- SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network
- An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
- Super-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement
- Cross-Domain Recommendation: Challenges, Progress, and Prospects
- A Novel CNN-LSTM-based Approach to Predict Urban Expansion
- Self-supervised Symmetric Nonnegative Matrix Factorization
- AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets
- Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
- Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
- Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled
- Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection
- Incorporating VAD into ASR System by Multi-task Learning
- Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
- Learning with Hyperspherical Uniformity
- Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
- Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks
- Double Coverage with Machine-Learned Advice
- Learning disentangled representations via product manifold projection
- Sparse Training Theory for Scalable and Efficient Agents
- Brain-inspired algorithms for processing of visual data
- Using CNNs to Identify the Origin of Finger Vein Image
- DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers
- Efficient Deep Image Denoising via Class Specific Convolution
- Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery
- Disentangling Syntax and Semantics in the Brain with Deep Networks
- Interpretable Multi-Modal Hate Speech Detection
- Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
- A Brief Survey on Deep Learning Based Data Hiding
- Learning Robust Beamforming for MISO Downlink Systems
- Missing Value Imputation on Multidimensional Time Series
- Deep Learning strategies for ProtoDUNE raw data denoising
- Probing Product Description Generation via Posterior Distillation
- A Comprehensive Study on Face Recognition Biases Beyond Demographics
- Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding
- A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs
- FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs
- Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization
- CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
- Inter-class Discrepancy Alignment for Face Recognition
- Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
- Careful with That! Observation of Human Movements to Estimate Objects Properties
- Label-Imbalanced and Group-Sensitive Classification under Overparameterization
- PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
- Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection
- An End-to-End Network for Emotion-Cause Pair Extraction
- TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
- Few-shot Open-set Recognition by Transformation Consistency
- Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation
- A Pose-only Solution to Visual Reconstruction and Navigation
- Feature-Align Network with Knowledge Distillation for Efficient Denoising
- On the Memory Mechanism of Tensor-Power Recurrent Models
- When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
- Hessian Eigenspectra of More Realistic Nonlinear Models
- Private Stochastic Convex Optimization: Optimal Rates in ℓ1 Geometry
- Multi-label Classification via Adaptive Resonance Theory-based Clustering
- Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features
- Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
- A Survey On Universal Adversarial Attack
- DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing
- Task-Adaptive Neural Network Search with Meta-Contrastive Learning
- Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
- Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities
- Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
- Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method
- Statistical Post-Processing for Gridded Temperature Prediction Using Encoder-Decoder-Based Deep Convolutional Neural Networks
- On Estimating Recommendation Evaluation Metrics under Sampling
- Depth from Camera Motion and Object Detection
- Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss
- Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect
- Image-to-image Translation via Hierarchical Style Disentanglement
- Kernel Interpolation for Scalable Online Gaussian Processes
- Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
- Explainable Person Re-Identification with Attribute-guided Metric Distillation
- Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
- ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation
- Fast Adaptation with Linearized Neural Networks
- ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
- Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
- TopicTracker: A Platform for Topic Trajectory Identification and Visualisation
- Botcha: Detecting Malicious Non-Human Traffic in the Wild
- AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
- Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
- Unsupervised Word Segmentation with Bi-directional Neural Language Model
- A Survey of Deep Learning Techniques for Weed Detection from Images
- Safe Learning of Uncertain Environments
- A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
- Smoothness Analysis of Adversarial Training
- Hindi-Urdu Adposition and Case Supersenses v1.0
- DeepReDuce: ReLU Reduction for Fast Private Inference
- Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation
- Practical Privacy Filters and Odometers with R'enyi Differential Privacy and Applications to Differentially Private Deep Learning
- Contrastive Explanations for Model Interpretability
- A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts
- DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains