Papers
Mon 23 Aug 2021
134 papers
- Efficient Medical Image Segmentation Based on Knowledge DistillationKnowledge distillation → Distillation for medical imaging
- TACo: Token-aware Cascade Contrastive Learning for Video-Text AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication
- Determining the origin of impulsive noise events using paired wireless sound sensors
- Fast Accurate Defect Detection in Wafer Fabrication
- Machine Learning for Sensor Transducer Conversion Routines
- Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
- Regularizing Transformers With Deep Probabilistic Layers
- ComSum: Commit Messages Summarization and Meaning Preservation
- Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach
- Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
- Improving 3D Object Detection with Channel-wise Transformer
- Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals
- Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
- One TTS Alignment To Rule Them All
- All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
- Longitudinal Distance: Towards Accountable Instance Attribution
- Adaptive shot allocation for fast convergence in variational quantum algorithms
- CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis
- Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
- Power Grid Cascading Failure Mitigation by Reinforcement Learning
- Jointly Learnable Data Augmentations for Self-Supervised GNNs
- Recurrent multiple shared layers in Depth for Neural Machine Translation
- StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm
- Robust Risk-Aware Reinforcement Learning
- Learning Motion Priors for 4D Human Body Capture in 3D Scenes
- Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps
- Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
- Dynamic Network Quantization for Efficient Video Inference
- Learning Sparse Analytic Filters for Piano Transcription
- Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
- Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
- Marine vessel tracking using a monocular camera
- L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy na"ive breast cancer patients
- Knowledge-based XAI through CBR: There is more to explanations than models can tell
- Interpreting Face Inference Models using Hierarchical Network Dissection
- End-to-End Open Vocabulary Keyword Search
- Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration
- Explaining Bayesian Neural Networks
- edge-SR: Super-Resolution For The Masses
- Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
- Ranking Models in Unlabeled New Environments
- C5T5: Controllable Generation of Organic Molecules with Transformers
- Network control by a constrained external agent as a continuous optimization problem
- A Simplicial Model for KB4n: Epistemic Logic with Agents that May Die
- PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detection
- Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
- Exclusive Group Lasso for Structured Variable Selection
- ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation
- Towards Explainable Fact Checking
- Collect & Infer -- a fresh look at data-efficient Reinforcement Learning
- Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation
- ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories
- Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search
- Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space
- Cube Sampled K-Prototype Clustering for Featured Data
- SwinIR: Image Restoration Using Swin Transformer
- Automatic Speech Recognition And Limited Vocabulary: A Survey
- Federated Multi-Task Learning under a Mixture of Distributions
- New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation
- Influence-guided Data Augmentation for Neural Tensor Completion
- Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
- Fusion of evidential CNN classifiers for image classification
- Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset
- Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks
- Separable Convolutions for Optimizing 3D Stereo Networks
- Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods
- Improving generative adversarial network inversion via fine-tuning GAN encoders
- Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches
- LivDet 2021 Fingerprint Liveness Detection Competition -- Into the unknown
- Towards Balanced Learning for Instance Recognition
- CGEMs: A Metric Model for Automatic Code Generation using GPT-3
- ODAM: Object Detection, Association, and Mapping using Posed RGB Video
- No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees
- Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions
- Legal Search in Case Law and Statute Law
- A study on Machine Learning Approaches for Player Performance and Match Results Prediction
- VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law
- Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
- Deep learning for surrogate modelling of 2D mantle convection
- Deep neural networks approach to microbial colony detection -- a comparative analysis
- On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing
- Graph Attention MLP with Reliable Label Utilization
- Automated Identification of Cell Populations in Flow Cytometry Data with Transformers
- EEG-based Classification of Drivers Attention using Convolutional Neural Network
- ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos
- How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
- Discovering Spatial Relationships by Transformers for Domain Generalization
- Event Extraction by Associating Event Types and Argument Roles
- Primal and Dual Combinatorial Dimensions
- Realistic Image Synthesis with Configurable 3D Scene Layouts
- Modeling time evolving COVID-19 uncertainties with density dependent asymptomatic infections and social reinforcement
- Deep Relational Metric Learning
- QDEF and Its Approximations in OBDM
- Semantic-Preserving Adversarial Text Attacks
- BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
- Credit Card Fraud Detection using Machine Learning: A Study
- Relative Entropy-Regularized Optimal Transport on a Graph: a new algorithm and an experimental comparison
- MS-DARTS: Mean-Shift Based Differentiable Architecture Search
- Image coding for machines: an end-to-end learned approach
All 134
- Learned Image Coding for Machines: A Content-Adaptive Approach
- Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers
- Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
- Exploring the Quality of GAN Generated Images for Person Re-Identification
- Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
- Learning Signed Distance Field for Multi-view Surface Reconstruction
- Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device
- Voxel-based Network for Shape Completion by Leveraging Edge Generation
- Modeling Dynamics of Facial Behavior for Mental Health Assessment
- Federated Learning Meets Fairness and Differential Privacy
- SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness
- APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design
- Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
- Convolutional Filtering and Neural Networks with Non Commutative Algebras
- Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease
- Fluent: An AI Augmented Writing Tool for People who Stutter
- Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
- PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
- Genetic Programming for Manifold Learning: Preserving Local Topology
- Analyzing the Granularity and Cost of Annotation in Clinical Sequence Labeling
- Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction
- The 2nd Anti-UAV Workshop & Challenge: Methods and Results
- Rate distortion comparison of a few gradient quantizers
- Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network
- A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation
- Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
- Burst Imaging for Light-Constrained Structure-From-Motion
- CANet: A Context-Aware Network for Shadow Removal
- Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
- A Unified Transformer-based Framework for Duplex Text Normalization
- DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
- On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI
- Anarchic Federated Learning
- An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction