Papers
Wed 28 Apr 2021
138 papers
- Open-vocabulary Object Detection via Vision and Language Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Reward (Mis)design for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural NetworkKnowledge distillation → General knowledge distillation methods
- Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships
- An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers
- Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
- Multi-Task Learning of Query Intent and Named Entities using Transfer Learning
- UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps
- A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring
- A review on physical and data-driven based nowcasting methods using sky images
- Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
- Causal Discovery of Flight Service Process Based on Event Sequence
- Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
- Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
- Machine Learning based System for Vessel Turnaround Time Prediction
- Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (2)
- A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
- Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information
- Deep Neural Network as an alternative to Boosted Decision Trees for PID
- Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning
- Pushing it out of the Way: Interactive Visual Navigation
- Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
- A Study of the Mathematics of Deep Learning
- Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
- Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection
- Analysis of Legal Documents via Non-negative Matrix Factorization Methods
- Algorithmic Factors Influencing Bias in Machine Learning
- Simplified Kalman filter for online rating: one-fits-all approach
- Interaction-GCN: A Graph Convolutional Network based framework for social interaction recognition in egocentric videos
- EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
- MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores
- Filter Distribution Templates in Convolutional Networks for Image Classification Tasks
- Neuromorphic Computing is Turing-Complete
- Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics
- SMLSOM: The shrinking maximum likelihood self-organizing map
- Personalized Keyphrase Detection using Speaker and Environment Information
- Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications
- Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
- Defined the predictors of the lightning over India by using artificial neural network
- MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
- Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting
- Diversity-Aware Batch Active Learning for Dependency Parsing
- Learning Syntax from Naturally-Occurring Bracketings
- Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
- High-Resolution Optical Flow from 1D Attention and Correlation
- LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
- Learning Synergistic Attention for Light Field Salient Object Detection
- Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
- Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
- Discovery of slow variables in a class of multiscale stochastic systems via neural networks
- Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
- Symbolic Abstractions From Data: A PAC Learning Approach
- Inpainting Transformer for Anomaly Detection
- Classification and comparison of license plates localization algorithms
- Weighed l1 on the simplex: Compressive sensing meets locality
- Large Scale Prediction with Decision Trees
- Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
- PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
- Exploring Relational Context for Multi-Task Dense Prediction
- Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
- Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control
- D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning
- Learning deep autoregressive models for hierarchical data
- A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
- Evaluating Document Representations for Content-based Legal Literature Recommendations
- Twins: Revisiting the Design of Spatial Attention in Vision Transformers
- Deep Learning Body Region Classification of MRI and CT examinations
- DeepSatData: Building large scale datasets of satellite images for training machine learning models
- NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
- Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
- The Evolution of Rumors on a Closed Platform during COVID-19
- Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes
- Does Face Recognition Error Echo Gender Classification Error?
- Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
- Finding High-Value Training Data Subset through Differentiable Convex Programming
- Rule-based Shielding for Partially Observable Monte-Carlo Planning
- FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity
- Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
- Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
- Pose-driven Attention-guided Image Generation for Person Re-Identification
- Boosting Co-teaching with Compression Regularization for Label Noise
- Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
- LGA-RCNN: Loss-Guided Attention for Object Detection
- Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
- Sum-of-norms clustering does not separate nearby balls
- Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
- MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
- A Reinforcement Learning Environment for Polyhedral Optimizations
- Causes of Effects: Learning individual responses from population data
- PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
- Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
- Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
- The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion
- A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
- Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
- PANDA : Perceptually Aware Neural Detection of Anomalies
- Information Interaction Profile of Choice Adoption
- SELF & FEIL: Emotion and Intensity Lexicons for Finnish
- HOTR: End-to-End Human-Object Interaction Detection with Transformers
- AdvHaze: Adversarial Haze Attack
All 138
- Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
- Optimal Stopping via Randomized Neural Networks
- End-to-End Approach for Recognition of Historical Digit Strings
- Robust Face-Swap Detection Based on 3D Facial Shape Information
- A coding theorem for the rate-distortion-perception function
- Two stages for visual object tracking
- Learning from Lukasiewicz and Meredith: Investigations into Proof Structures (Extended Version)
- On the Unreasonable Effectiveness of Centroids in Image Retrieval
- Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
- PyTorch Tabular: A Framework for Deep Learning with Tabular Data
- Point Cloud Learning with Transformer
- A Deep Learning Object Detection Method for an Efficient Clusters Initialization
- Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
- Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
- Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
- Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
- MLDemon: Deployment Monitoring for Machine Learning Systems
- IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research
- Reconstructing nodal pressures in water distribution systems with graph neural networks
- End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
- MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
- Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
- Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
- DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
- Revisiting Skeleton-based Action Recognition
- [Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
- Deep Domain Generalization with Feature-norm Network
- Multi-view Inference for Relation Extraction with Uncertain Knowledge
- Interactive Visualization for Exploring Information Fragments in Software Repositories
- Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
- AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
- Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image
- AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
- Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
- PAFNet: An Efficient Anchor-Free Object Detector Guidance
- Extreme Rotation Estimation using Dense Correlation Volumes
- ZePHyR: Zero-shot Pose Hypothesis Rating
- Detection of Signal in the Spiked Rectangular Models