Papers
Thu 12 Aug 2021
132 papers
- DexMV: Imitation Learning for Dexterous Manipulation from Human VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
- Distilling Holistic Knowledge with Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- How Computer Science Can Aid Forest Restoration
- Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms
- VTLayout: Fusion of Visual and Text Features for Document Layout Analysis
- Bagging Supervised Autoencoder Classifier for Credit Scoring
- MUSIQ: Multi-scale Image Quality Transformer
- TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
- An Operator Splitting View of Federated Learning
- Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization
- Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers
- Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design
- Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem
- Deep adversarial attack on target detection systems
- Room Classification on Floor Plan Graphs using Graph Neural Networks
- ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
- Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
- A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
- Data-driven discovery of intrinsic dynamics
- Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
- Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
- Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
- Mobile-Former: Bridging MobileNet and Transformer
- MicroNet: Improving Image Recognition with Extremely Low FLOPs
- PixelSynth: Generating a 3D-Consistent Experience from a Single Image
- Page-level Optimization of e-Commerce Item Recommendations
- Towards Interpretable Deep Metric Learning with Structural Matching
- Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
- Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
- The paradox of the compositionality of natural language: a neural machine translation case study
- Unconditional Scene Graph Generation
- Feature Engineering with Regularity Structures
- Distributional Depth-Based Estimation of Object Articulation Models
- HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
- Syntax Matters! Syntax-Controlled in Text Style Transfer
- Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training
- Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
- m-RevNet: Deep Reversible Neural Networks with Momentum
- How Optimal is Greedy Decoding for Extractive Question Answering?
- Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
- Logit Attenuating Weight Normalization
- Combining (second-order) graph-based and headed-span-based projective dependency parsing
- AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
- A general class of surrogate functions for stable and efficient reinforcement learning
- TF-Blender: Temporal Feature Blender for Video Object Detection
- PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management
- Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
- Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model
- Reimagining an autonomous vehicle
- On Liquidity Mining for Uniswap v3
- Scalable pragmatic communication via self-supervision
- Progressive Coordinate Transforms for Monocular 3D Object Detection
- Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
- DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
- Learning from Matured Dumb Teacher for Fine Generalization
- HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
- Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
- Probabilistic methods for approximate archetypal analysis
- Dynamic Attention-based Communication-Efficient Federated Learning
- Multimodal analysis of the predictability of hand-gesture properties
- Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification
- COVINS: Visual-Inertial SLAM for Centralized Collaboration
- Deep Microlocal Reconstruction for Limited-Angle Tomography
- MT-ORL: Multi-Task Occlusion Relationship Learning
- Semantic Concentration for Domain Adaptation
- Engineering an Efficient Boolean Functional Synthesis Engine
- Oriented R-CNN for Object Detection
- MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
- RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform
- (Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performance
- Semantics-Native Communication with Contextual Reasoning
- Lutz's Spoiler Technique Revisited: A Unified Approach to Worst-Case Optimal Entailment of Unions of Conjunctive Queries in Locally-Forward Description Logics
- How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
- Learning Visual Affordance Grounding from Demonstration Videos
- Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
- Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
- Development of a Risk-Free COVID-19 Screening Algorithm from Routine Blood Tests Using Ensemble Machine Learning
- Generating Diverse Descriptions from Semantic Graphs
- Conditional Temporal Variational AutoEncoder for Action Video Prediction
- Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm
- UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
- Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
- Is Differentiable Architecture Search truly a One-Shot Method?
- Generation Challenges: Results of the Accuracy Evaluation Shared Task
- On minimal representations of shallow ReLU networks
- SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network
- Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
- Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization
- 3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
- DIODE: Dilatable Incremental Object Detection
- Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
- FreaAI: Automated extraction of data slices to test machine learning models
- Conditional Sequential Slate Optimization
- Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
- DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
- Cascade Bagging for Accuracy Prediction with Few Training Samples
- Deep Motion Prior for Weakly-Supervised Temporal Action Localization
- Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network
- AffRankNet+: Ranking Affect Using Privileged Information
- Reinforcement Learning Approach to Active Learning for Image Classification
All 132
- perf4sight: A toolflow to model CNN training performance on Edge GPUs
- iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering
- Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language
- Implicit Sparse Regularization: The Impact of Depth and Early Stopping
- LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
- Agnostic Online Learning and Excellent Sets
- A Contract Theory based Incentive Mechanism for Federated Learning
- Vision-Language Transformer and Query Generation for Referring Segmentation
- Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography
- Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
- Graph Trend Filtering Networks for Recommendations
- Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
- HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
- AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
- Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
- Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Chairs via Robot Imagination
- Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases
- Efficient Local Planning with Linear Function Approximation
- The Contextual Appointment Scheduling Problem
- Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
- Clustering with UMAP: Why and How Connectivity Matters
- Silhouette based View embeddings for Gait Recognition under Multiple Views
- Fair Decision-Making for Food Inspections
- Text Anchor Based Metric Learning for Small-footprint Keyword Spotting
- Ethereum Data Structures
- DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models
- Attention-driven Graph Clustering Network
- A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition
- Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms
- Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
- Automatic Gaze Analysis: A Survey of Deep Learning based Approaches
- Learning to Segment Medical Images from Few-Shot Sparse Labels