Papers
Tue 16 Nov 2021
175 papers
- Compressive Features in Offline Reinforcement Learning for Recommender SystemsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Reinforcement Learning with Feedback from Multiple Humans with Diverse SkillsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual ConceptsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Improving Learning from Demonstrations by Learning from ExperienceOffline RL and imitation learning from data → Imitation learning methods
- An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All
- Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria
- Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and Application
- Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks
- Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification
- Identifying the Factors that Influence Urban Public Transit Demand
- Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
- The Neural Correlates of Image Texture in the Human Vision Using Magnetoencephalography
- Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
- Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
- Federated Learning for Smart Healthcare: A Survey
- HARA: A Hierarchical Approach for Robust Rotation Averaging
- A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
- CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
- User Response and Sentiment Prediction for Automatic Dialogue Evaluation
- Online Estimation and Optimization of Utility-Based Shortfall Risk
- DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
- Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation
- PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
- Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
- Detecting AutoAttack Perturbations in the Frequency Domain
- Finding the Right Moment: Human-Assisted Trailer Creation via Task Composition
- Computer Vision for Supporting Image Search
- Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data
- On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
- Learning Scene Dynamics from Point Cloud Sequences
- SMACE: A New Method for the Interpretability of Composite Decision Systems
- Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
- Learning Provably Robust Motion Planners Using Funnel Libraries
- Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
- Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images
- Two-step adversarial debiasing with partial learning -- medical image case-studies
- CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
- Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism
- Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
- Normalizing flows for atomic solids
- INTERN: A New Learning Paradigm Towards General Vision
- A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution
- Inferring halo masses with Graph Neural Networks
- Automatically detecting anomalous exoplanet transits
- Multiclass Optimal Classification Trees with SVM-splits
- Machine Learning and Ensemble Approach Onto Predicting Heart Disease
- A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets
- Causal Effect Variational Autoencoder with Uniform Treatment
- Diversified Multi-prototype Representation for Semi-supervised Segmentation
- FedCostWAvg: A new averaging for better Federated Learning
- DataCLUE: A Benchmark Suite for Data-centric NLP
- Machine Learning-Assisted Analysis of Small Angle X-ray Scattering
- UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
- Single-channel speech separation using Soft-minimum Permutation Invariant Training
- NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
- Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
- Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
- A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
- CGX: Adaptive System Support for Communication-Efficient Deep Learning
- IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects
- Stochastic Extragradient: General Analysis and Improved Rates
- Document AI: Benchmarks, Models and Applications
- Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis
- Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks
- Words of Wisdom: Representational Harms in Learning From AI Communication
- Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation
- Tracking Blobs in the Turbulent Edge Plasma of a Tokamak Fusion Device
- Robust recovery for stochastic block models
- Polymatrix Competitive Gradient Descent
- Rank-Regret Minimization
- Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
- On Effective Scheduling of Model-based Reinforcement Learning
- Interpreting Language Models Through Knowledge Graph Extraction
- Coral: An Approach for Conversational Agents in Mental Health Applications
- WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
- Utilizing Textual Reviews in Latent Factor Models for Recommender Systems
- HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
- Sequential Community Mode Estimation
- Language bias in Visual Question Answering: A Survey and Taxonomy
- Improving the robustness and accuracy of biomedical language models through adversarial training
- Non-separable Spatio-temporal Graph Kernels via SPDEs
- Learning Intrinsic Images for Clothing
- Hierarchical transfer learning with applications for electricity load forecasting
- CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description
- Real-time 3D human action recognition based on Hyperpoint sequence
- Generative Pre-Trained Transformer for Design Concept Generation: An Exploration
- Neural Class Expression Synthesis
- Consistent Semantic Attacks on Optical Flow
- Point detection through multi-instance deep heatmap regression for sutures in endoscopy
- Interpretable and Fair Boolean Rule Sets via Column Generation
- The role of attraction-repulsion dynamics in simulating the emergence of inflectional class systems
- Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
- Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion
- Code-free development and deployment of deep segmentation models for digital pathology
- An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences
- Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
- Causal policy ranking
- Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding
- Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
All 175
- Grounding Psychological Shape Space in Convolutional Neural Networks
- STAMP 4 NLP -- An Agile Framework for Rapid Quality-Driven NLP Applications Development
- Weakly-supervised fire segmentation by visualizing intermediate CNN layers
- Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition
- 2.5D Vehicle Odometry Estimation
- CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
- Towards Generating Real-World Time Series Data
- Single Image Object Counting and Localizing using Active-Learning
- Literature-Augmented Clinical Outcome Prediction
- Fight Detection from Still Images in the Wild
- Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
- Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
- From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses
- A first approach to closeness distributions
- On-Demand Unlabeled Personalized Federated Learning
- SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks
- Mathematical Models for Local Sensing Hashes
- Pansharpening by convolutional neural networks in the full resolution framework
- Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques
- Bayesian Optimization for Cascade-type Multi-stage Processes
- Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset
- An Empirical Study of Finding Similar Exercises
- Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset
- DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
- TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
- Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One
- Learning with convolution and pooling operations in kernel methods
- Accounting for Gaussian Process Imprecision in Bayesian Optimization
- Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls
- Switching Recurrent Kalman Networks
- Few-Shot Self-Rationalization with Natural Language Prompts
- Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
- Keypoint Message Passing for Video-based Person Re-Identification
- Wyner-Ziv Gradient Compression for Federated Learning
- Deep Distilling: automated code generation using explainable deep learning
- HADFL: Heterogeneity-aware Decentralized Federated Learning Framework
- Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)
- Pre-training Graph Neural Network for Cross Domain Recommendation
- Solving Probability and Statistics Problems by Program Synthesis
- Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning
- Online Meta Adaptation for Variable-Rate Learned Image Compression
- A Unified and Fast Interpretable Model for Predictive Analytics
- Enabling equivariance for arbitrary Lie groups
- Bengali Handwritten Grapheme Classification: Deep Learning Approach
- Self-encoding Barnacle Mating Optimizer Algorithm for Manpower Scheduling in Flow Shop
- CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles
- Assessing Deep Neural Networks as Probability Estimators
- Covariate Shift in High-Dimensional Random Feature Regression
- Online Self-Evolving Anomaly Detection in Cloud Computing Environments
- Selective Ensembles for Consistent Predictions
- SStaGCN: Simplified stacking based graph convolutional networks
- Phase function estimation from a diffuse optical image via deep learning
- Comparative Analysis of Machine Learning Models for Predicting Travel Time
- Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI
- Fairness-aware Online Price Discrimination with Nonparametric Demand Models
- FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
- Meeting Summarization with Pre-training and Clustering Methods
- JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
- Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
- Attention-based Multi-hypothesis Fusion for Speech Summarization
- MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar
- CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis
- Learning Augmentation Distributions using Transformed Risk Minimization
- Graph neural network-based fault diagnosis: a review
- AIR2 for Interaction Prediction
- Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
- Score-Based Generative Models for Robust Channel Estimation
- Coarse-to-fine Animal Pose and Shape Estimation
- Inverse-Weighted Survival Games
- ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching
- Off-Policy Actor-Critic with Emphatic Weightings
- Solving Linear Algebra by Program Synthesis
- On a Conjecture Regarding the Adam Optimizer
- Sparse Graph Learning Under Laplacian-Related Constraints
- On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI