Papers
Sun 3 Apr 2022
71 papers
- Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
- Graph Enhanced BERT for Query Understanding
- ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
- Confidence Score for Unsupervised Foreground Background Separation of Document Images
- Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Multilingual and Multimodal Abuse Detection
- Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation: Correctly Choosing how to Choose Correctly
- RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems
- Estimating Fine-Grained Noise Model via Contrastive Learning
- BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
- Exemplar Learning for Medical Image Segmentation
- Revisiting a kNN-based Image Classification System with High-capacity Storage
- Exploiting Temporal Relations on Radar Perception for Autonomous Driving
- A Part-of-Speech Tagger for Yiddish
- PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
- Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
- Few Shot Protein Generation
- Pragmatic constraints and pronoun reference disambiguation: the possible and the impossible
- Seemo: A new tool for early design window view satisfaction evaluation in residential buildings
- Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs
- Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons
- Byzantine-Robust Federated Linear Bandits
- Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor
- Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
- Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022
- BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion
- A System for Interactive Examination of Learned Security Policies
- Fitting an immersed submanifold to data via Sussmann's orbit theorem
- Adjusting for Bias with Procedural Data
- Adaptive Stochastic MPC under Unknown Noise Distribution
- Adversarially robust segmentation models learn perceptually-aligned gradients
- A sequence-to-sequence approach for document-level relation extraction
- pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results
- Breaking the De-Pois Poisoning Defense
- VRKG4Rec: Virtual Relational Knowledge Graphs for Recommendation
- Faces: AI Blitz XIII Solutions
- ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
- Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
- In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles
- Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based Dialogue Grounded in Documents
- Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies
- A Survey on Machine Learning Solutions for Graph Pattern Extraction
- Understanding the unstable convergence of gradient descent
- A Differentially Private Framework for Deep Learning with Convexified Loss Functions
- Style-Based Global Appearance Flow for Virtual Try-On
- Distortion-Aware Self-Supervised 360deg Depth Estimation from A Single Equirectangular Projection Image
- STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
- TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
- On Efficiently Acquiring Annotations for Multilingual Models
- Gastrointestinal Polyps and Tumors Detection Based on Multi-scale Feature-fusion with WCE Sequences
- A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering
- Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification
- Region-aware Attention for Image Inpainting
- AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
- Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
- Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
- Improving Vision Transformers by Revisiting High-frequency Components
- POS-BERT: Point Cloud One-Stage BERT Pre-Training
- BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
- Towards Web Phishing Detection Limitations and Mitigation
- Deep Speech Based End-to-End Automated Speech Recognition (ASR) for Indian-English Accents
- FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
- Question-Driven Graph Fusion Network For Visual Question Answering
- Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
- Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification
- DST: Dynamic Substitute Training for Data-free Black-box Attack
- A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
- Automatic Dialect Density Estimation for African American English
- AdaFace: Quality Adaptive Margin for Face Recognition
- Enhancing Digital Health Services: A Machine Learning Approach to Personalized Exercise Goal Setting