Papers
Mon 24 May 2021
131 papers
- Experimenting with Knowledge Distillation techniques for performing Brain Tumor SegmentationKnowledge distillation → Distillation for medical imaging
- Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → Medical vision-language models
- i-Pulse: A NLP based novel approach for employee engagement in logistics organization
- Latent Space Arc Therapy Optimization
- One4all User Representation for Recommender Systems in E-commerce
- Aristotle Said "Happiness is a State of Activity" -- Predicting Mood through Body Sensing with Smartwatches
- An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
- Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction
- Continual Learning at the Edge: Real-Time Training on Smartphone Devices
- Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
- SHD360: A Benchmark Dataset for Salient Human Detection in 360deg Videos
- Pan-sharpening via High-pass Modification Convolutional Neural Network
- Robust Fairness-aware Learning Under Sample Selection Bias
- TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
- Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
- Deep Descriptive Clustering
- Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
- Uncertainty-Aware Signal Temporal Logic Inference
- Deep Learning-based Damage Mapping with InSAR Coherence Time Series
- Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
- Scalable Cross Validation Losses for Gaussian Process Models
- Informative Bayesian model selection for RR Lyrae star classifiers
- Unsupervised Visual Representation Learning by Online Constrained K-Means
- Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models
- Deep neural network enabled corrective source term approach to hybrid analysis and modeling
- The advent and fall of a vocabulary learning bias from communicative efficiency
- Guided Hyperparameter Tuning Through Visualization and Inference
- Inferring Temporal Logic Properties from Data using Boosted Decision Trees
- 3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
- Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
- A Flawed Dataset for Symbolic Equation Verification
- Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries
- SAT: 2D Semantics Assisted Training for 3D Visual Grounding
- True Few-Shot Learning with Language Models
- LuvHarris: A Practical Corner Detector for Event-cameras
- 2nd-order Updates with 1st-order Complexity
- Design to automate the detection and counting of Tuberculosis(TB) bacilli
- Attention-guided Temporally Coherent Video Object Matting
- Uncertainty quantification for distributed regression
- Multi-Level Attentive Convoluntional Neural Network for Crowd Counting
- Cost-Accuracy Aware Adaptive Labeling for Active Learning
- Skew Orthogonal Convolutions
- Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
- Diacritics Restoration using BERT with Analysis on Czech language
- VANiLLa : Verbalized Answers in Natural Language at Large Scale
- Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks
- Augmenting Modelers with Semantic Autocompletion of Processes
- Can we imitate the principal investor's behavior to learn option price?
- Large-Scale Attribute-Object Compositions
- FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
- GMAC: A Distributional Perspective on Actor-Critic Framework
- Learning Security Classifiers with Verified Global Robustness Properties
- DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration
- Entropy-based adaptive design for contour finding and estimating reliability
- Brain tumour segmentation using a triplanar ensemble of U-Nets
- View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
- Reconstructing Small 3D Objects in front of a Textured Background
- PROPm Allocations of Indivisible Goods to Multiple Agents
- IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
- Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
- Classifying Math KCs via Task-Adaptive Pre-Trained BERT
- Room Clearance with Feudal Hierarchical Reinforcement Learning
- Neural Language Models for Nineteenth-Century English
- RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
- Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
- LineCounter: Learning Handwritten Text Line Segmentation by Counting
- DaN+: Danish Nested Named Entities and Lexical Normalization
- Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces
- Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces
- What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review
- Assessing perceived organizational leadership styles through twitter text mining
- Neural Machine Translation with Monolingual Translation Memory
- Actions You Can Handle: Dependent Types for AI Plans
- Argumentative XAI: A Survey
- Editorial introduction: The power of words and networks
- Few-Shot Upsampling for Protest Size Detection
- PTR: Prompt Tuning with Rules for Text Classification
- Optimized conformal classification using gradient descent approximation
- Cross-lingual Text Classification with Heterogeneous Graph Neural Network
- A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
- SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
- Towards Compact CNNs via Collaborative Compression
- Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
- De-identification of Privacy-related Entities in Job Postings
- Hater-O-Genius Aggression Classification using Capsule Networks
- A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing
- StructuralLM: Structural Pre-training for Form Understanding
- Mapping oil palm density at country scale: An active learning approach
- Towards Standard Criteria for human evaluation of Chatbots: A Survey
- Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
- Fuzzy inference system application for oil-water flow patterns identification
- Smart mobile microscopy: towards fully-automated digitization
- Context-Preserving Text Simplification
- Retrieval Enhanced Model for Commonsense Generation
- Human-centric Relation Segmentation: Dataset and Solution
- AirNet: Neural Network Transmission over the Air
- Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
- Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
- Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-
All 131
- Improved OOD Generalization via Adversarial Training and Pre-training
- CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation
- Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
- Robust learning with anytime-guaranteed feedback
- One2Set: Generating Diverse Keyphrases as a Set
- Partition Function Estimation: A Quantitative Study
- Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
- Cascading Bandit under Differential Privacy
- Heterogeneous Graph Representation Learning with Relation Awareness
- A Fourier-based Framework for Domain Generalization
- Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
- Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
- Self-Attention Networks Can Process Bounded Hierarchical Languages
- Dynamic Class Queue for Large Scale Face Recognition In the Wild
- Oriented RepPoints for Aerial Object Detection
- FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
- Federated Graph Learning -- A Position Paper
- Prevent the Language Model from being Overconfident in Neural Machine Translation
- Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
- Towards Book Cover Design via Layout Graphs
- Recent Advances and Trends in Multimodal Deep Learning: A Review
- Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
- Unsupervised Speech Recognition
- Assessing the Early Bird Heuristic (for Predicting Project Quality)
- Alternating Fixpoint Operator for Hybrid MKNF Knowledge Bases as an Approximator of AFT
- InfoFair: Information-Theoretic Intersectional Fairness
- Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
- Taylor saves for later: disentanglement for video prediction using Taylor representation
- High-level camera-LiDAR fusion for 3D object detection with machine learning
- Deep Visual Anomaly detection with Negative Learning
- Arbitrage-free neural-SDE market models