Papers
Tue 28 Jun 2022
159 papers
- Learning energy-efficient driving behaviors by imitating expertsEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent RoutingEnd-to-end autonomous driving → Cooperative and V2X driving
- Masked World Models for Visual ControlWorld models → Embodied and robot world models
- DayDreamer: World Models for Physical Robot LearningWorld models → Latent dynamics models and model-based RL
- Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster
- Improving self-supervised pretraining models for epileptic seizure detection from EEG data
- Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario
- Hebbian Continual Representation Learning
- Stain Isolation-based Guidance for Improved Stain Translation
- An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split
- Rethinking Optimization with Differentiable Simulation from a Global Perspective
- Secure Forward Aggregation for Vertical Federated Neural Networks
- Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators
- Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors
- Reconstructing the Universe with Variational self-Boosted Sampling
- Test2Vec: An Execution Trace Embedding for Test Case Prioritization
- Cooperative Retriever and Ranker in Deep Recommenders
- Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction
- NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts
- Generative Anomaly Detection for Time Series Datasets
- On the R'enyi Cross-Entropy
- An Empirical Study of Challenges in Converting Deep Learning Models
- Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding
- Generative Neural Articulated Radiance Fields
- Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation
- Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
- Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning
- Learning Time Delay Systems with Neural Ordinary Differential Equations
- TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s
- Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
- Neural Integro-Differential Equations
- A Perturbation Bound on the Subspace Estimator from Canonical Projections
- NumS: Scalable Array Programming for the Cloud
- Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop
- BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models
- Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network
- Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices
- Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
- ZoDIAC: Zoneout Dropout Injection Attention Calculation
- Supervised Training of Conditional Monge Maps
- Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE)
- GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
- Target alignment in truncated kernel ridge regression
- No imputation without representation
- SImProv: Scalable Image Provenance Framework for Robust Content Attribution
- PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
- Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery
- Latent Combinational Game Design
- Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters
- ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique
- Pedestrian 3D Bounding Box Prediction
- Low Emission Building Control with Zero-Shot Reinforcement Learning
- Evaluating Understanding on Conceptual Abstraction Benchmarks
- Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases
- The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models
- High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
- InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
- Risk Perspective Exploration in Distributional Reinforcement Learning
- Creation and Analysis of an International Corpus of Privacy Laws
- Visualizing and Alleviating the Effect of Radial Distortion on Camera Calibration Using Principal Lines
- Verifiable Goal Recognition for Autonomous Driving with Occlusions
- How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
- Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
- Memory Safe Computations with XLA Compiler
- Simplifying Dataflow Dialogue Design
- Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing
- SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
- Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
- On the universality of the volatility formation process: when machine learning and rough volatility agree
- RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
- Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
- Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
- Electronic-structure properties from atom-centered predictions of the electron density
- Continual Learning with Transformers for Image Classification
- Linear programming-based solution methods for constrained partially observable Markov decision processes
- Equivariant Priors for Compressed Sensing with Unknown Orientation
- Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL
- Deep Neural Networks pruning via the Structured Perspective Regularization
- Towards Lexical Gender Inference: A Scalable Methodology using Online Databases
- Bengali Common Voice Speech Dataset for Automatic Speech Recognition
- Enhancing Business Process Simulation Models with Extraneous Activity Delays
- Short-Term Plasticity Neurons Learning to Learn and Forget
- Rethinking Adversarial Examples for Location Privacy Protection
- Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
- Taxonomy and evolution predicting using deep learning in images
- Show Me Your Face, And I'll Tell You How You Speak
- On the amplification of security and privacy risks by post-hoc explanations in machine learning models
- Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge
- Learning Symmetric Rules with SATNet
- Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
- Increasing Confidence in Adversarial Robustness Evaluations
- Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
- BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
- Joint Generator-Ranker Learning for Natural Language Generation
- Towards a Grounded Theory of Causation for Embodied AI
- MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations
- Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fields
- Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning
- Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark
- Primitive Graph Learning for Unified Vector Mapping
All 159
- Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration
- Dynamic Memory for Interpretable Sequential Optimisation
- Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
- RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
- Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
- SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
- Dependency Parsing with Backtracking using Deep Reinforcement Learning
- QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design
- AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
- The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution
- Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns
- Parallel Instance Filtering for Malware Detection
- Explaining Any ML Model? -- On Goals and Capabilities of XAI
- Generating near-infrared facial expression datasets with dimensional affect labels
- Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems
- When are Post-hoc Conceptual Explanations Identifiable?
- LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)
- Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?
- SMT-based Weighted Model Integration with Structure Awareness
- When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation
- Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes
- Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
- Comparison of Speech Representations for the MOS Prediction System
- Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
- Sublinear-Time Clustering Oracle for Signed Graphs
- FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
- Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
- 3D Multi-Object Tracking with Differentiable Pose Estimation
- CC-Riddle: A Question Answering Dataset of Chinese Character Riddles
- Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
- Classification of ADHD Patients Using Kernel Hierarchical Extreme Learning Machine
- Exploring linguistic feature and model combination for speech recognition based automatic AD detection
- Flexible text generation for counterfactual fairness probing
- On the Impact of Noises in Crowd-Sourced Data for Speech Translation
- DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems
- Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
- Principal Phrase Mining
- Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
- GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans
- Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
- H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
- A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
- Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
- Persistent homology-based descriptor for machine-learning potential of amorphous structures
- SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
- The Third Place Solution for CVPR2022 AVA Accessibility Vision and Autonomy Challenge
- Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
- Personalized Keyword Spotting through Multi-task Learning
- Kwame for Science: An AI Teaching Assistant Based on Sentence-BERT for Science Education in West Africa
- Domain Agnostic Few-shot Learning for Speaker Verification
- Graph Condensation via Receptive Field Distribution Matching
- Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
- POEM: Out-of-Distribution Detection with Posterior Sampling
- Learning from human perception to improve automatic speaker verification in style-mismatched conditions
- Attention-based conditioning methods using variable frame rate for style-robust speaker verification
- Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
- How Many Events do You Need? Event-based Visual Place Recognition Using Sparse But Varying Pixels
- Studying Generalization Through Data Averaging