Papers
Thu 26 Aug 2021
142 papers
- Efficient training of lightweight neural networks using Online Self-Acquired Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Retrieval Augmented Code Generation and SummarizationRetrieval-augmented generation → RAG for code
- Machine Unlearning of Features and LabelsLLM safety and security → Machine unlearning
- Bilateral Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
- Reiterative Domain Aware Multi-Target Adaptation
- PTRAIL -- A python package for parallel trajectory data preprocessing
- StressNAS: Affect State and Stress Detection Using Neural Architecture Search
- The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
- Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
- Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?
- An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
- Predicting Stable Configurations for Semantic Placement of Novel Objects
- Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
- Continual learning under domain transfer with sparse synaptic bursting
- Towards Self-Explainable Graph Neural Network
- Ultrafast Focus Detection for Automated Microscopy
- Learning Disentangled Representations in the Imaging Domain
- Semantic-Based Self-Critical Training For Question Generation
- DeepFlow: Abnormal Traffic Flow Detection Using Siamese Networks
- EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
- When and how epochwise double descent happens
- Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
- Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
- A New Sentence Ordering Method Using BERT Pretrained Model
- Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
- Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
- Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments
- Learning Cross-modal Contrastive Features for Video Domain Adaptation
- Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
- LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
- Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
- SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion
- SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
- Probabilistic Modeling for Human Mesh Recovery
- Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network
- Machine Learning for Mediation in Armed Conflicts
- Semantically Coherent Out-of-Distribution Detection
- Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
- Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
- Sketches for Time-Dependent Machine Learning
- HAN: Higher-order Attention Network for Spoken Language Understanding
- User-Centric Semi-Automated Infographics Authoring and Recommendation
- Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning
- Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
- A Survey on Automated Fact-Checking
- Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides
- Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
- Human operator cognitive availability aware Mixed-Initiative control
- Enabling SQL-based Training Data Debugging for Federated Learning
- DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
- A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
- Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
- Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition
- Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization
- Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks
- AI at work -- Mitigating safety and discriminatory risk with technical standards
- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
- DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes
- Active manifolds, stratifications, and convergence to local minima in nonsmooth optimization
- Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
- Fast and Flexible Human Pose Estimation with HyperPose
- Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning
- State of the Art: Face Recognition
- Mining Contextual Information Beyond Image for Semantic Segmentation
- When should agents explore?
- A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
- Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification
- Human readable network troubleshooting based on anomaly detection and feature scoring
- Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
- Efficient Out-of-Distribution Detection Using Latent Space of β-VAE for Cyber-Physical Systems
- State of the Art: Image Hashing
- A Statutory Article Retrieval Dataset in French
- Ensemble CNN and Uncertainty Modeling to Improve Automatic Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Imaging
- A Hierarchical Assessment of Adversarial Severity
- On the use of test smells for prediction of flaky tests
- Parallelised Diffeomorphic Sampling-based Motion Planning
- Quadratic mutual information regularization in real-time deep CNN models
- Multi-Modulation Network for Audio-Visual Event Localization
- ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
- Cross-category Video Highlight Detection via Set-based Learning
- Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy
- A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection
- Physical Adversarial Attacks on an Aerial Imagery Object Detector
- Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
- Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
- Deep learning based dictionary learning and tomographic image reconstruction
- An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
- Learning to Diversify for Single Domain Generalization
- Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
- Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control
- Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
- Photos Are All You Need for Reciprocal Recommendation in Online Dating
- The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size
- SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
- Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
- Rethinking Why Intermediate-Task Fine-Tuning Works
- PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
- PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
All 142
- Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
- Disentangled Generative Models for Robust Prediction of System Dynamics
- Estimation of Riemannian distances between covariance operators and Gaussian processes
- A Robust Loss for Point Cloud Registration
- Graph-guided random forest for gene set selection
- Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
- Technological Approaches to Detecting Online Disinformation and Manipulation
- StackMix and Blot Augmentations for Handwritten Text Recognition
- Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial
- AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
- Scalable and Modular Robustness Analysis of Deep Neural Networks
- Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
- Hybrid quantum-classical machine learning for generative chemistry and drug design
- Self-Attention for Audio Super-Resolution
- SketchLattice: Latticed Representation for Sketch Manipulation
- MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
- Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
- CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
- Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
- Few-shot Visual Relationship Co-localization
- Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
- Rethinking Negative Sampling for Handling Missing Entity Annotations
- Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning
- LayoutReader: Pre-training of Text and Layout for Reading Order Detection
- AVATAR: A Parallel Corpus for Java-Python Program Translation
- Modeling Item Response Theory with Stochastic Variational Inference
- Shifted Chunk Transformer for Spatio-Temporal Representational Learning
- Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models
- NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function
- GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
- Robust Long-Tailed Learning under Label Noise
- Adaptive Control of Differentially Private Linear Quadratic Systems
- CoSEM: Contextual and Semantic Embedding for App Usage Prediction
- Identity-aware Graph Memory Network for Action Detection
- Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
- XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
- The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
- Vision-Language Navigation: A Survey and Taxonomy
- TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
- ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
- A New Interpolation Approach and Corresponding Instance-Based Learning
- SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations