Papers
Tue 17 Aug 2021
134 papers
- SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of ExpertsMixture-of-experts → MoE large language models
- G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature ImitationKnowledge distillation → Detection and dense prediction distillation
- Developing Medical AI : a cloud-native audio-visual data collection study
- Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser
- KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
- Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR
- Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
- MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval
- A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem
- SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
- Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning
- Improving Accuracy of Permutation DAG Search using Best Order Score Search
- Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
- A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems
- Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
- A comparative study of universal quantum computing models: towards a physical unification
- M-ar-K-Fast Independent Component Analysis
- Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality
- HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering
- Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection
- Adaptive Convolutions with Per-pixel Dynamic Filter Atom
- Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
- Modulating Language Models with Emotions
- Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
- Statistically Near-Optimal Hypothesis Selection
- Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
- Aggregated Customer Engagement Model
- Contextualizing Variation in Text Style Transfer Datasets
- Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report
- OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting
- Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
- Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
- Multi-task learning for jersey number recognition in Ice Hockey
- Channel-Temporal Attention for First-Person Video Domain Adaptation
- ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
- Compressing gradients by exploiting temporal correlation in momentum-SGD
- Higher-Order Concurrency for Microcontrollers
- Group-aware Contrastive Regression for Action Quality Assessment
- RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection
- Federated Multi-Target Domain Adaptation
- Toward a `Standard Model' of Machine Learning
- End-to-End Dense Video Captioning with Parallel Decoding
- Appearance Based Deep Domain Adaptation for the Classification of Aerial Images
- Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
- SPAN: Subgraph Prediction Attention Network for Dynamic Graphs
- Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning
- On Limited Non-Prioritised Belief Revision Operators with Dynamic Scope
- VisBuddy -- A Smart Wearable Assistant for the Visually Challenged
- TOOD: Task-aligned One-stage Object Detection
- AGNet: Weighing Black Holes with Deep Learning
- Incremental cluster validity index-guided online learning for performance and robustness to presentation order
- A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging
- Combining speakers of multiple languages to improve quality of neural voices
- A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving
- A Game Interface to Study Semantic Grounding in Text-Based Models
- On Incorrectness Logic and Kleene Algebra with Top and Tests
- Scaling Laws for Deep Learning
- Visual Enhanced 3D Point Cloud Reconstruction from A Single Image
- Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
- ImitAL: Learning Active Learning Strategies from Synthetic Data
- Thirty years of Epistemic Specifications
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation
- SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
- MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
- An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation
- Look Who's Talking: Active Speaker Detection in the Wild
- Learning C to x86 Translation: An Experiment in Neural Compilation
- A Weakly Supervised Dataset of Fine-Grained Emotions in Portuguese
- Accounting for shared covariates in semi-parametric Bayesian additive regression trees
- Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
- Deep MRI Reconstruction with Radial Subsampling
- Indoor Semantic Scene Understanding using Multi-modality Fusion
- DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
- When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
- Direct domain adaptation through reciprocal linear transformations
- Light Field Image Super-Resolution with Transformers
- spectrai: A deep learning framework for spectral data
- Coalesced Multi-Output Tsetlin Machines with Clause Sharing
- MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
- Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
- The Ecosystem Path to General AI
- ACM-CR: A Manually Annotated Test Collection for Citation Recommendation
- How Powerful is Graph Convolution for Recommendation?
- Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing
- Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
- KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks
- Graph Capsule Aggregation for Unaligned Multimodal Sequences
- O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed
- Estimating smooth and sparse neural receptive fields with a flexible spline basis
- Investigating transformers in the decomposition of polygonal shapes as point collections
- Neural Photofit: Gaze-based Mental Image Reconstruction
- Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
- Graph Contrastive Learning for Anomaly Detection
- Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
- LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
- Exploring Classification Equilibrium in Long-Tailed Object Detection
- PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion
- MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
- Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
- MV-TON: Memory-based Video Virtual Try-on network
All 134
- Annotation Guidelines for the Turku Paraphrase Corpus
- A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems
- A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening
- A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation
- CaT: Weakly Supervised Object Detection with Category Transfer
- RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
- Is Nash Equilibrium Approximator Learnable?
- Guided Colorization Using Mono-Color Image Pairs
- Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model
- Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
- Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification
- Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
- An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
- Identifying Biased Subgroups in Ranking and Classification
- Diffeomorphic Particle Image Velocimetry
- Social influence leads to the formation of diverse local trends
- Modeling Protein Using Large-scale Pretrain Language Model
- Aggregation Delayed Federated Learning
- Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
- Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients
- Stability and Generalization for Randomized Coordinate Descent
- Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
- Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
- From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds
- FARF: A Fair and Adaptive Random Forests Classifier
- Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains
- Diagnosis of Acute Myeloid Leukaemia Using Machine Learning
- Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
- Contextual Convolutional Neural Networks
- BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
- Learning to Cluster via Same-Cluster Queries
- InfoGram and Admissible Machine Learning
- DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer