Papers
Mon 19 Jul 2021
160 papers
- Playful Interactions for Representation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Constraints Penalized Q-learning for Safe Offline Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
- ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
- Structured World Belief for Reinforcement Learning in POMDPWorld models → Latent predictive world models
- Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study
- Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays
- Generative Adversarial Neural Cellular Automata
- Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data
- Self-supervision for health insurance claims data: a Covid-19 use case
- Residual Tree Aggregation of Layers for Neural Machine Translation
- On the Quantum-like Contextuality of Ambiguous Phrases
- Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey
- Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders
- A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework
- Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach
- Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy
- Using system context information to complement weakly labeled data
- Predicting the 2020 US Presidential Election with Twitter
- Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
- Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
- Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables
- Learned Sorted Table Search and Static Indexes in Small Model Space
- Wide and Deep Graph Neural Network with Distributed Online Learning
- A quantum algorithm for training wide and deep classical neural networks
- Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
- Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions
- Incorporating domain knowledge into neural-guided search
- OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression
- DeepSocNav: Social Navigation by Imitating Human Behaviors
- Improving exploration in policy gradient search: Application to symbolic optimization
- Inference for Change Points in High Dimensional Mean Shift Models
- Adaptive wavelet distillation from neural networks through interpretations
- Wave-Informed Matrix Factorization with Global Optimality Guarantees
- Sequence-to-Sequence Piano Transcription with Transformers
- Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
- Quality and Complexity Assessment of Learning-Based Image Compression Solutions
- Convolutional module for heart localization and segmentation in MRI
- The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion
- GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection
- Thing Foundational Ontology: ThingFO v1.3's Terms, Properties, Relationships and Axioms
- Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
- Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
- Rational Verification for Probabilistic Systems
- Confidence Aware Neural Networks for Skin Cancer Detection
- OnlineSTL: Scaling Time Series Decomposition by 100x
- Separating Skills and Concepts for Novel Visual Question Answering
- Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
- Token-Level Supervised Contrastive Learning for Punctuation Restoration
- A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
- Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring
- Support Recovery in Universal One-bit Compressed Sensing
- Reward-Weighted Regression Converges to a Global Optimum
- DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps
- Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
- Sample Complexity of Learning Parametric Quantum Circuits
- Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets
- LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
- Deep Open Snake Tracker for Vessel Tracing
- Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
- On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
- Just Train Twice: Improving Group Robustness without Training Group Information
- Topological Attention for Time Series Forecasting
- Structured Stochastic Gradient MCMC
- Image Fusion Transformer
- Causal Inference Struggles with Agency on Online Platforms
- CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
- A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
- An Analysis of Reinforcement Learning for Malaria Control
- Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder -- Insights for practical AI-driven molecule generation
- InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
- Hierarchical Few-Shot Imitation with Skill Transition Models
- OODformer: Out-Of-Distribution Detection Transformer
- Unsupervised Identification of Relevant Prior Cases
- Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
- Transductive image segmentation: Self-training and effect of uncertainty estimation
- Frequency-Supervised MR-to-CT Image Synthesis
- T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
- Clinical Relation Extraction Using Transformer-based Models
- GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
- DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
- Over-Parameterization and Generalization in Audio Classification
- MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
- Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
- Epistemic Neural Networks
- Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
- MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
- Unsupervised Embedding Learning from Uncertainty Momentum Modeling
- Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
- Reasoning-Modulated Representations
- RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data
- Ab Initio Particle-based Object Manipulation
- Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
- VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
- Automatic and explainable grading of meningiomas from histopathology images
- Exploring the efficacy of neural networks for trajectory compression and the inverse problem
- Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements
- A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
- Simultaneous Speech Translation for Live Subtitling: from Delay to Display
- Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
- Learning Attributed Graph Representations with Communicative Message Passing Transformer
All 160
- Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
- Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation
- Precise Aerial Image Matching based on Deep Homography Estimation
- Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units
- VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
- Adaptive Transfer Learning on Graph Neural Networks
- Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
- Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
- CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
- Attribution of Predictive Uncertainties in Classification Models
- Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
- E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
- Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version)
- Cobordisms and commutative categorial grammars
- Stock Movement Prediction with Financial News using Contextualized Embedding from BERT
- Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
- Joint Implicit Image Function for Guided Depth Super-Resolution
- RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
- Exploring Set Similarity for Dense Self-supervised Representation Learning
- Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer
- DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
- Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
- Long-term series forecasting with Query Selector -- efficient model of sparse attention
- Improved Learning Rates for Stochastic Optimization
- Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
- A New Distributed Method for Training Generative Adversarial Networks
- Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images
- A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
- Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
- Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
- Compound Figure Separation of Biomedical Images with Side Loss
- Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
- Transport away your problems: Calibrating stochastic simulations with optimal transport
- Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
- Facial Expressions Recognition with Convolutional Neural Networks
- Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
- Data Sharing Markets
- LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
- Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
- Face.evoLVe: A High-Performance Face Recognition Library
- Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
- Equivariant Manifold Flows
- High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
- Optimal Resource Allocation for Serverless Queries
- Inverse Problem of Nonlinear Schr"odinger Equation as Learning of Convolutional Neural Network
- Double Similarity Distillation for Semantic Image Segmentation
- EvilModel: Hiding Malware Inside of Neural Network Models
- CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
- Non-binary deep transfer learning for image classification
- Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
- A Systematical Solution for Face De-identification
- UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
- Action Forecasting with Feature-wise Self-Attention
- A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
- Early-Phase Performance-Driven Design using Generative Models
- Structural Design Recommendations in the Early Design Phase using Machine Learning
- Learning point embedding for 3D data processing
- Wave-based extreme deep learning based on non-linear time-Floquet entanglement
- Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering