Papers
Tue 25 May 2021
180 papers
- Trajectory Modeling via Random Utility Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Hyperparameter Selection for Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- A Generalised Inverse Reinforcement Learning FrameworkOffline RL and imitation learning from data → Inverse reinforcement learning
- Mixture of ELM based experts with trainable gating networkMixture-of-experts → MoE theory and gating functions
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillationKnowledge distillation → General knowledge distillation methods
- Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- TR-BERT: Dynamic Token Reduction for Accelerating BERT InferenceEfficient LLM inference and serving → Early exit and edge inference
- Speed Benchmarking of Genetic Programming Frameworks
- Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic
- Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling
- Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
- Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection
- Self-Adaptive Swarm System (SASS)
- We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
- Enhance Multimodal Model Performance with Data Augmentation: Facebook Hateful Meme Challenge Solution
- CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Impact of detecting clinical trial elements in exploration of COVID-19 literature
- Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
- Style Similarity as Feedback for Product Design
- Interpretable UAV Collision Avoidance using Deep Reinforcement Learning
- Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence
- GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function
- Scaling Properties of Deep Residual Networks
- AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies
- Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
- Learning a Model-Driven Variational Network for Deformable Image Registration
- Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
- The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design
- A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
- A New Score for Adaptive Tests in Bayesian and Credal Networks
- Safe Value Functions
- Context-Sensitive Visualization of Deep Learning Natural Language Processing Models
- From Motor Control to Team Play in Simulated Humanoid Football
- Bias in Machine Learning Software: Why? How? What to do?
- NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains
- Robust Value Iteration for Continuous Control Tasks
- Self-Guided Instance-Aware Network for Depth Completion and Enhancement
- IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion
- Occlusion Aware Kernel Correlation Filter Tracker using RGB-D
- Density estimation on low-dimensional manifolds: an inflation-deflation approach
- AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
- Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
- Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
- Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
- Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
- Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model
- Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra
- DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
- Group selection and shrinkage: Structured sparsity for semiparametric additive models
- Taxonomy of academic plagiarism methods
- Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
- Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network
- Real-time Monocular Depth Estimation with Sparse Supervision on Mobile
- NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
- Big data and big values: When companies need to rethink themselves
- Temporal Action Proposal Generation with Transformers
- BASS: Boosting Abstractive Summarization with Unified Semantic Graph
- Unpaired Depth Super-Resolution in the Wild
- Information algebras of coherent sets of gambles in general possibility spaces
- TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems
- An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teams
- Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0
- Principal Component Hierarchy for Sparse Quadratic Programs
- On learning parametric distributions from quantized samples
- Towards a method to anticipate dark matter signals with deep learning at the LHC
- The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community
- Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets
- Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
- Optimal Sampling Density for Nonparametric Regression
- Graph Based Link Prediction between Human Phenotypes and Genes
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting
- Towards Teachable Autotelic Agents
- Model Mismatch Trade-offs in LMMSE Estimation
- Learning Generative Prior with Latent Space Sparsity Constraints
- Emotion Recognition in Horses with Convolutional Neural Networks
- Extending rational models of communication from beliefs to actions
- Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
- Towards Scalable Verification of Deep Reinforcement Learning
- Hyperspectral Image Denoising with Log-Based Robust PCA
- Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
- Focus Attention: Promoting Faithfulness and Diversity in Summarization
- Bi-objective Search with Bi-directional A*
- Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data
- Flexible Table Recognition and Semantic Interpretation System
- Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
- Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
- Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
- TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
- GraphFM: Graph Factorization Machines for Feature Interaction Modeling
- Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
- CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
- Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution
- Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices
- Quantum Embedding Search for Quantum Machine Learning
- GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
- DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
- CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
- DiBS: Differentiable Bayesian Structure Learning
- A Modulation Front-End for Music Audio Tagging
All 180
- Estimating Redundancy in Clinical Text
- Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability
- Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting
- SGD with Coordinate Sampling: Theory and Practice
- Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos
- Hashing embeddings of optimal dimension, with applications to linear least squares
- RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
- PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map
- Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
- Bias-Robust Bayesian Optimization via Dueling Bandits
- Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing
- GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
- A unified framework based on graph consensus term for multi-view learning
- Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks
- Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
- Deep learning-based bias transfer for overcoming laboratory differences of microscopic images
- Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
- Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
- Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
- ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
- Affine Transport for Sim-to-Real Domain Adaptation
- FENXI: Deep-learning Traffic Analytics at the Edge
- Predicting Links on Wikipedia with Anchor Text Information
- The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning
- ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos
- Exploring Autoencoder-based Error-bounded Compression for Scientific Data
- Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
- There is no data like more data -- current status of machine learning datasets in remote sensing
- SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
- Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification
- Improving Few-shot Learning with Weakly-supervised Object Localization
- High-Frequency aware Perceptual Image Enhancement
- SBEVNet: End-to-End Deep Stereo Layout Estimation
- Transfer Learning and Curriculum Learning in Sokoban
- Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
- PyTorch, Explain! A Python library for Logic Explained Networks
- Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation
- FNAS: Uncertainty-Aware Fast Neural Architecture Search
- A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
- Self-Supervised Graph Representation Learning via Topology Transformations
- Towards Understanding the Condensation of Neural Networks at Initial Training
- Deep Neural Networks and End-to-End Learning for Audio Compression
- An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
- Unbiased Asymmetric Reinforcement Learning under Partial Observability
- ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
- BoundarySqueeze: Image Segmentation as Boundary Squeezing
- Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation
- Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
- Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets
- Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
- On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
- Structured Convolutional Kernel Networks for Airline Crew Scheduling
- Feature Space Targeted Attacks by Statistic Alignment
- A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
- FILTRA: Rethinking Steerable CNN by Filter Transform
- Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm
- Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation
- TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
- Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law
- Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
- Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs
- A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem
- KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
- Unsupervised Scale-consistent Depth Learning from Video
- Polarimetric Spatio-Temporal Light Transport Probing
- Centimeter-Wave Free-Space Time-of-Flight Imaging
- TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
- IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularization
- HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
- Personalized Transformer for Explainable Recommendation
- Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
- Feature Space Exploration For Planning Initial Benthic AUV Surveys
- SiamMOT: Siamese Multi-Object Tracking
- OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS
- A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor
- VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator
- SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching
- Graph Neural Network Based VC Investment Success Prediction
- Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques
- Neural Network Based Sleep Phases Classification for Resource Constraint Environments