Papers
Wed 9 Nov 2022
162 papers
- Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Prompting Large Pre-trained Vision-Language Models For Compositional Concept LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Leveraging Offline Data in Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge DistillationKnowledge distillation → Speech and audio distillation
- Knowledge Distillation for Federated Learning: a Practical GuideKnowledge distillation → Federated, robust and private distillation
- Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
- Solving Collaborative Dec-POMDPs with Deep Reinforcement Learning Heuristics
- Evident: a Development Methodology and a Knowledge Base Topology for Data Mining, Machine Learning and General Knowledge Management
- QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks
- Integrating machine learning concepts into undergraduate classes
- Training self-supervised peptide sequence models on artificially chopped proteins
- DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
- Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search
- Efficient Joint Detection and Multiple Object Tracking with Spatially Aware Transformer
- Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting
- Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
- QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
- Deep Learning for Time Series Anomaly Detection: A Survey
- Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning
- RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
- Content-Diverse Comparisons improve IQA
- Flaky Performances when Pretraining on Relational Databases
- Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning
- HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions
- Affordance detection with Dynamic-Tree Capsule Networks
- Collateral facilitation in humans and language models
- Towards Reasoning-Aware Explainable VQA
- Training a Vision Transformer from scratch in less than 24 hours with 1 GPU
- Are All Edges Necessary? A Unified Framework for Graph Purification
- An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
- Modeling Motivational Interviewing Strategies On An Online Peer-to-Peer Counseling Platform
- A comparison of several AI techniques for authorship attribution on Romanian texts
- Speech separation with large-scale self-supervised learning
- Grammatical Error Correction: A Survey of the State of the Art
- Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
- Efficient Zero-shot Event Extraction with Context-Definition Alignment
- QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression
- Adaptive Multi-Corpora Language Model Training for Speech Recognition
- Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
- A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret
- Large Language Models with Controllable Working Memory
- ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention
- Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models
- Efficiently Scaling Transformer Inference
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- 3D Scene Inference from Transient Histograms
- Clinical Contrastive Learning for Biomarker Detection
- Sparse Bayesian Lasso via a Variable-Coefficient ℓ1 Penalty
- Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter
- Automated Learning: An Implementation of The A* Search Algorithm over The Random Base Functions
- In-memory factorization of holographic perceptual representations
- A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition
- What is Wrong with Language Models that Can Not Tell a Story?
- MACSum: Controllable Summarization with Mixed Attributes
- Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
- Portmanteauing Features for Scene Text Recognition
- Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language
- Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
- Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers
- Local Structure Matters Most in Most Languages
- Duality for Neural Networks through Reproducing Kernel Banach Spaces
- The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks
- Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes
- Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
- Almost Tight Error Bounds on Differentially Private Continual Counting
- Similarity among the 2D-shapes and the analysis of dissimilarity scores
- ParGAN: Learning Real Parametrizable Transformations
- RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring
- Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
- Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
- Graph representation learning for street networks
- Perceived personality state estimation in dyadic and small group interaction with deep learning methods
- Workload Forecasting of a Logistic Node Using Bayesian Neural Networks
- Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation
- Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions
- Resource frugal optimizer for quantum machine learning
- Pure Transformer with Integrated Experts for Scene Text Recognition
- Graph Neural Networks with Adaptive Readouts
- Accountable and Explainable Methods for Complex Reasoning over Text
- Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractions
- Efficient Speech Translation with Pre-trained Models
- DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop
- miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
- DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator
- Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models
- Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
- Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
- Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
- Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
- Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
- Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
- Extending Temporal Data Augmentation for Video Action Recognition
- Composite Fixed-Length Ordered Features for Palmprint Template Protection with Diminished Performance Loss
- Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
- Foundation Models for Semantic Novelty in Reinforcement Learning
- Interactive Feature Embedding for Infrared and Visible Image Fusion
- A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
- Visual Named Entity Linking: A New Dataset and A Baseline
- Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
All 162
- Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening
- Final infarct prediction in acute ischemic stroke
- Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
- Distribution-based Emotion Recognition in Conversation
- 3DFill:Reference-guided Image Inpainting by Self-supervised 3D Image Alignment
- Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
- Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
- Discrimination and Class Imbalance Aware Online Naive Bayes
- Machine-Learned Exclusion Limits without Binning
- Designing Network Design Strategies Through Gradient Path Analysis
- Bit-depth enhancement detection for compressed video
- On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper
- Physics-separating artificial neural networks for predicting initial stages of Al sputtering and thin film deposition in Ar plasma discharges
- RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
- Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
- Masked Vision-Language Transformers for Scene Text Recognition
- Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam
- On the Robustness of Explanations of Deep Neural Network Models: A Survey
- IRNet: Iterative Refinement Network for Noisy Partial Label Learning
- SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation
- Continual learning autoencoder training for a particle-in-cell simulation via streaming
- Interpretable Explainability in Facial Emotion Recognition and Gamification for Data Collection
- Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications
- Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
- Spiking Neural Network Decision Feedback Equalization
- Towards Global Crop Maps with Transfer Learning
- Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation
- ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
- Bayesian Neural Networks for Macroeconomic Analysis
- Framework Construction of an Adversarial Federated Transfer Learning Classifier
- On the Application of Efficient Neural Mapping to Real-Time Indoor Localisation for Unmanned Ground Vehicles
- Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition
- Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network
- A survey of some recent developments in measures of association
- Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data
- FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
- Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
- Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)
- Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
- A Solution for a Fundamental Problem of 3D Inference based on 2D Representations
- Lightweight network towards real-time image denoising on mobile devices
- Directional Privacy for Deep Learning
- Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
- Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images
- Syntax-Aware On-the-Fly Code Completion
- Distributional Shift Adaptation using Domain-Specific Features
- Zero-Label Prompt Selection
- When is Momentum Extragradient Optimal? A Polynomial-Based Analysis
- SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
- A Method to Judge the Style of Classical Poetry Based on Pre-trained Model
- MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
- Perturbed Iterate SGD for Lipschitz Continuous Loss Functions with Numerical Error and Adaptive Step Sizes
- Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations
- LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
- Learning Optimal Graph Filters for Clustering of Attributed Graphs
- Maximum likelihood recursive state estimation in state-space models: A new approach based on statistical analysis of incomplete data
- Minimalist Data Wrangling with Python
- MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
- Soft Augmentation for Image Classification
- Cold Start Streaming Learning for Deep Networks
- DeepE: a deep neural network for knowledge graph embedding
- Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries