Papers
Mon 16 Aug 2021
132 papers
- BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection
- Deep Natural Language Processing for LinkedIn Search
- Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models
- Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
- Hybrid deep learning methods for phenotype prediction from clinical notes
- Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring
- Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
- Deep Contrastive Multiview Network Embedding
- AIRCHITECT: Learning Custom Architecture Design and Mapping Space
- OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations
- Program Synthesis with Large Language Models
- PnP-3D: A Plug-and-Play for 3D Point Clouds
- BN-NAS: Neural Architecture Search with Batch Normalization
- Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
- CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
- Stochastic Optimization under Distributional Drift
- Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch
- An NLP approach to quantify dynamic salience of predefined topics in a text corpus
- IsoScore: Measuring the Uniformity of Embedding Space Utilization
- Classification of Common Waveforms Including a Watchdog for Unknown Signals
- Generative Relation Linking for Question Answering over Knowledge Bases
- Weakly Supervised Classification Using Group-Level Labels
- TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset
- Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
- Heterotic String Model Building with Monad Bundles and Reinforcement Learning
- Federated Asymptotics: a model to compare federated learning algorithms
- Synthesizing Pareto-Optimal Interpretations for Black-Box Models
- Understanding the factors driving the opioid epidemic using machine learning
- Variational Inference at Glacier Scale
- Reassessing the Limitations of CNN Methods for Camera Pose Regression
- APReL: A Library for Active Preference-based Reward Learning Algorithms
- On the Opportunities and Risks of Foundation Models
- Who's Waldo? Linking People Across Text and Images
- BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification
- Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach
- A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity
- Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
- Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
- Hierarchical Infinite Relational Model
- Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera-IMU System
- Real-time Human-Centric Segmentation for Complex Video Scenes
- Masked Face Recognition Challenge: The WebFace260M Track Report
- Robust Trimmed k-means
- Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
- Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
- MMChat: Multi-Modal Chat Dataset on Social Media
- Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
- MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
- Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
- On the Importance of Encrypting Deep Features
- The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
- PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
- Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
- Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
- Neural Predictive Monitoring under Partial Observability
- Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets
- Autoencoders as Tools for Program Synthesis
- Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages
- Using Cyber Terrain in Reinforcement Learning for Penetration Testing
- AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities
- NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition
- Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
- Deep Self-Adaptive Hashing for Image Retrieval
- Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
- Identifying and Exploiting Structures for Reliable Deep Learning
- Toward the Understanding of Deep Text Matching Models for Information Retrieval
- ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
- Multistream Graph Attention Networks for Wind Speed Forecasting
- Detecting and interpreting faults in vulnerable power grids with machine learning
- FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
- Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
- WiseR: An end-to-end structure learning and deployment framework for causal graphical models
- Towards unconstrained joint hand-object reconstruction from RGB videos
- Implicitly Regularized RL with Implicit Q-Values
- Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
- Structure-Aware Feature Generation for Zero-Shot Learning
- Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures
- Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
- Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
- Pixel Difference Networks for Efficient Edge Detection
- Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
- An Effective Non-Autoregressive Model for Spoken Language Understanding
- Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
- A Single Example Can Improve Zero-Shot Data Generation
- A diffusion-map-based algorithm for gradient computation on manifolds and applications
- Distance-aware Quantization
- Task-Sensitive Concept Drift Detector with Constraint Embedding
- 3D High-Fidelity Mask Face Presentation Attack Detection Challenge
- Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
- WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
- Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
- An Effective System for Multi-format Information Extraction
- MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain
- Uniform Function Estimators in Reproducing Kernel Hilbert Spaces
- Data Augmentation for Scene Text Recognition
- Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script
- Video Person Re-identification using Attribute-enhanced Features
- TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
- Unsupervised Person Re-identification with Stochastic Training Strategy
- Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
All 132
- Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
- Near-Optimal No-Regret Learning in General Games
- A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
- End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
- Blockchain-based Trustworthy Federated Learning Architecture
- Optimal Actor-Critic Policy with Optimized Training Datasets
- A Novel Attribute Reconstruction Attack in Federated Learning
- Online Multi-Granularity Distillation for GAN Compression
- Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability
- A physics-informed variational DeepONet for predicting the crack path in brittle materials
- Neural-to-Tree Policy Distillation with Policy Improvement Criterion
- AutoChart: A Dataset for Chart-to-Text Generation Task
- Challenges for cognitive decoding using deep learning methods
- Interpreting Attributions and Interactions of Adversarial Attacks
- GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
- Causal Incremental Graph Convolution for Recommender System Retraining
- Provable Data Clustering via Innovation Search
- Neural Architecture Dilation for Adversarial Robustness
- CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
- Text-Aware Single Image Specular Highlight Removal
- Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance
- FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
- Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
- Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
- Probeable DARTS with Application to Computational Pathology
- No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
- Clustering Filipino Disaster-Related Tweets Using Incremental and Density-Based Spatiotemporal Algorithm with Support Vector Machines for Needs Assessment
- A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
- AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
- Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
- Interpreting and improving deep-learning models with reality checks
- Do Proportionate Algorithms Exploit Sparsity?