Papers
Wed 20 Apr 2022
163 papers
- Attention in Reasoning: Dataset, Analysis, and ModelingLLM reasoning → Multimodal reasoning
- A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward MachinesOffline RL and imitation learning from data → Inverse reinforcement learning
- Residual Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
- Causality-based Neural Network RepairLLM safety and security → Backdoor and data poisoning attacks
- On the Representation Collapse of Sparse Mixture of ExpertsMixture-of-experts → Expert routing strategies
- Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks
- Neurochaos Feature Transformation and Classification for Imbalanced Learning
- Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
- Five Ps: Leverage Zones Towards Responsible AI
- Infusing Linguistic Knowledge of SMILES into Chemical Language Models
- A Taxonomy of Prompt Modifiers for Text-To-Image Generation
- Investigating the Optimal Neural Network Parameters for Decoding
- Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
- Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
- Stability Preserving Data-driven Models With Latent Dynamics
- Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
- A Ihara-Bass Formula for Non-Boolean Matrices and Strong Refutations of Random CSPs
- Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms
- Condition Monitoring of Transformer Bushings Using Computational Intelligence
- Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware
- Deep transfer operator learning for partial differential equations under conditional shift
- fairDMS: Rapid Model Training by Data and Model Reuse
- Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
- GUARD: Graph Universal Adversarial Defense
- Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation
- Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator
- Assessing Machine Learning Algorithms for Near-Real Time Bus Ridership Prediction During Extreme Weather
- Wrapped Distributions on homogeneous Riemannian manifolds
- SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
- Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
- MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss
- Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
- Multi-Scale Features and Parallel Transformers Based Image Quality Assessment
- Multi-Focus Image Fusion based on Gradient Transform
- Time-based Self-supervised Learning for Wireless Capsule Endoscopy
- Efficient Wireless Federated Learning with Partial Model Aggregation
- A majorization-minimization algorithm for nonnegative binary matrix factorization
- Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media
- ARLIF-IDS -- Attention augmented Real-Time Isolation Forest Intrusion Detection System
- Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval
- When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
- yosm: A new yoruba sentiment corpus for movie reviews
- Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning
- FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow
- Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments
- Demonstration of Superconducting Optoelectronic Single-Photon Synapses
- Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
- One-Class Model for Fabric Defect Detection
- Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering
- SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction
- A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
- Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN
- Assembly Planning from Observations under Physical Constraints
- Detecting Unintended Memorization in Language-Model-Fused ASR
- Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
- Improved Group Robustness via Classifier Retraining on Independent Splits
- Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-Specific Hip Fracture Risk Screening
- Fetal Brain Tissue Annotation and Segmentation Challenge Results
- On the Ethical Considerations of Text Simplification
- Understanding and Preventing Capacity Loss in Reinforcement Learning
- Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques
- A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science
- A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization
- A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment
- Backdooring Explainable Machine Learning
- Graph neural networks and attention-based CNN-LSTM for protein classification
- Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
- Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
- GazeOnce: Real-Time Multi-Person Gaze Estimation
- THORN: Temporal Human-Object Relation Network for Action Recognition
- SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network
- Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability
- Noise mitigation strategies in physical feedforward neural networks
- STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond
- Simplicial Attention Networks
- Event Transition Planning for Open-ended Text Generation
- GIMO: Gaze-Informed Human Motion Prediction in Context
- DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection
- A Corpus for Understanding and Generating Moral Stories
- Search-based Methods for Multi-Cloud Configuration
- Hephaestus: A large scale multitask dataset towards InSAR understanding
- FenceNet: Fine-grained Footwork Recognition in Fencing
- PP-Matting: High-Accuracy Natural Image Matting
- A Mobile Food Recognition System for Dietary Assessment
- HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation
- 6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation
- SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
- Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
- Video Moment Retrieval from Text Queries via Single Frame Annotation
- Continuous-time identification of dynamic state-space models by deep subspace encoding
- A Probabilistic Time-Evolving Approach to Scanpath Prediction
- Case-Aware Adversarial Training
- Adversarial Scratches: Deployable Attacks to CNN Classifiers
- You Are What You Write: Preserving Privacy in the Era of Large Language Models
- Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
- Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data
- Exploration strategies for articulatory synthesis of complex syllable onsets
- Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
- A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data
- Analyzing the Intensity of Complaints on Social Media
All 163
- Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
- Generative or Contrastive? Phrase Reconstruction for Better Sentence Representation Learning
- Active Few-Shot Learning with FASL
- Online Caching with no Regret: Optimistic Learning via Recommendations
- Cyber-Forensic Review of Human Footprint and Gait for Personal Identification
- Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation
- OutCast: Outdoor Single-image Relighting with Cast Shadows
- Sequential Point Clouds: A Survey
- Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
- Profiling and Evolution of Intellectual Property
- NFormer: Robust Person Re-identification with Neighbor Transformer
- Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database
- Self-supervised Learning for Sonar Image Classification
- SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics
- Logarithmic Morphological Neural Nets robust to lighting variations
- Massive Twinning to Enhance Emergent Intelligence
- Learning to Constrain Policy Optimization with Virtual Trust Region
- NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
- A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
- Attention in Attention: Modeling Context Correlation for Efficient Video Classification
- Adaptive Non-linear Filtering Technique for Image Restoration
- Effects of Graph Convolutions in Multi-layer Networks
- Image Restoration in Non-Linear Filtering Domain using MDB approach
- A 3-stage Spectral-spatial Method for Hyperspectral Image Classification
- Towards Arabic Sentence Simplification via Classification and Generative Approaches
- Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics
- Human-Object Interaction Detection via Disentangled Transformer
- Reinforced Structured State-Evolution for Vision-Language Navigation
- Situational Perception Guided Image Matting
- Sound-Guided Semantic Video Generation
- A Survey of Video-based Action Quality Assessment
- A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
- Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
- Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence
- User-Centric Conversational Recommendation with Multi-Aspect User Modeling
- DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation
- Synthetic Target Domain Supervision for Open Retrieval QA
- Compositional Semantics and Inference System for Temporal Order based on Japanese CCG
- DAME: Domain Adaptation for Matching Entities
- Scalable Motif Counting for Large-scale Temporal Graphs
- Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
- Visual-based Positioning and Pose Estimation
- Optimal reconciliation with immutable forecasts
- Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network
- Tight Last-Iterate Convergence of the Extragradient and the Optimistic Gradient Descent-Ascent Algorithm for Constrained Monotone Variational Inequalities
- Cross-stitched Multi-modal Encoders
- Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers
- ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
- K-LITE: Learning Transferable Visual Models with External Knowledge
- Vision System of Curling Robots: Thrower and Skip
- LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
- Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management
- Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network
- Does Interference Exist When Training a Once-For-All Network?
- Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus
- Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
- NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
- Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices
- Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
- Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems
- Learned Monocular Depth Priors in Visual-Inertial Initialization
- Analyzing Gender Representation in Multilingual Models
- An unsupervised approach for semantic place annotation of trajectories based on the prior probability