Papers
Fri 8 Apr 2022
158 papers
- Backdoor Attack against NLP models with Robustness-Aware Perturbation defenseLLM safety and security → Backdoor and data poisoning attacks
- Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different StylesOffline RL and imitation learning from data → Real-world robot offline RL
- KGI: An Integrated Framework for Knowledge Intensive Language TasksRetrieval-augmented generation → Conversational and speech RAG
- Biologically-inspired neuronal adaptation improves learning in neural networks
- No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment
- Recent Progress in Conversational AI
- Active-learning-based non-intrusive Model Order Reduction
- Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
- Optical flow GNSS for navigation in the Indian subcontinent (NavIC)
- CyNER: A Python Library for Cybersecurity Named Entity Recognition
- The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system
- ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
- Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
- Transformer-Based Self-Supervised Learning for Emotion Recognition
- Convolutional autoencoders for spatially-informed ensemble post-processing
- An approach to improving sound-based vehicle speed estimation
- Semantic Exploration from Language Abstractions and Pretrained Representations
- An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
- Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
- Approximate discounting-free policy evaluation from transient and recurrent states
- Iterative Depth-First Search for Fully Observable Non-Deterministic Planning
- Machine learning model to predict solar radiation, based on the integration of meteorological data and data obtained from satellite images
- Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
- MMTAfrica: Multilingual Machine Translation for African Languages
- Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
- Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning
- Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
- Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
- On Improving Cross-dataset Generalization of Deepfake Detectors
- Classification of Natural Language Processing Techniques for Requirements Engineering
- Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures
- Conformal Frequency Estimation with Sketched Data
- BioRED: A Rich Biomedical Relation Extraction Dataset
- Evaluating the Adversarial Robustness for Fourier Neural Operators
- Interpretable AI for policy-making in pandemics
- HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
- Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis
- Exploiting complex pattern features for interactive pattern mining
- Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework
- ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection
- Vision-Based American Sign Language Classification Approach via Deep Learning
- Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
- Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis
- Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
- Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation
- Learning Trajectory-Aware Transformer for Video Super-Resolution
- Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization
- Dancing under the stars: video denoising in starlight
- Learning Polynomial Transformations
- Underwater Image Enhancement Using Pre-trained Transformer
- Efficient Feedback and Partial Credit Grading for Proof Blocks Problems
- A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
- GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering
- Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning
- Ranking with submodular functions on a budget
- Self-supervised Speaker Diarization
- Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
- Contextual Representation Learning beyond Masked Language Modeling
- EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector
- Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
- A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
- Process Mining on Uncertain Event Data
- Constrained Bundle Adjustment for Structure From Motion Using Uncalibrated Multi-Camera Systems
- Optical tracking in team sports
- A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing
- Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction
- Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model
- EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression
- Karaoker: Alignment-free singing voice synthesis with speech training data
- Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
- Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
- Dynamic super-resolution in particle tracking problems
- Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
- Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach
- POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
- Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese
- General Incremental Learning with Domain-aware Categorical Representations
- Invariant Descriptors for Intrinsic Reflectance Optimization
- Utility Functions for Human/Robot Interaction
- Deep Learning-Based Intra Mode Derivation for Versatile Video Coding
- Improving Tokenisation by Alternative Treatment of Spaces
- Identifying Ambiguous Similarity Conditions via Semantic Matching
- Efficient tracking of team sport players with few game-specific annotations
- KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
- C-NMT: A Collaborative Inference Framework for Neural Machine Translation
- Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection
- Ontology Matching Through Absolute Orientation of Embedding Spaces
- A Generic Image Retrieval Method for Date Estimation of Historical Document Collections
- Fair and Argumentative Language Modeling for Computational Argumentation
- Engagement Detection with Multi-Task Training in E-Learning Environments
- Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage
- Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment
- Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products
- Mel-spectrogram features for acoustic vehicle detection and speed estimation
- On Projectivity in Markov Logic Networks
- SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies
- LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing
- ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation
- The Complexity of Markov Equilibrium in Stochastic Games
- Contrastive language and vision learning of general fashion concepts
All 158
- Disability prediction in multiple sclerosis using performance outcome measures and demographic data
- Blockchain as an Enabler for Transfer Learning in Smart Environments
- Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation
- Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
- Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2
- Are We Really Making Much Progress in Text Classification? A Comparative Review
- RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs
- RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining
- Probabilistic Representations for Video Contrastive Learning
- Channel model for end-to-end learning of communications systems: A survey
- GigaST: A 10,000-hour Pseudo Speech Translation Corpus
- On Distinctive Image Captioning via Comparing and Reweighting
- Study of a committee of neural networks for biometric hand-geometry recognition
- Does Robustness on ImageNet Transfer to Downstream Tasks?
- HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems
- From Rewriting to Remembering: Common Ground for Conversational QA Models
- Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
- Biometric identification by means of hand geometry and a neural net classifier
- Global Update Guided Federated Learning
- Network Shuffling: Privacy Amplification via Random Walks
- A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search
- A posteriori learning for quasi-geostrophic turbulence parametrization
- BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
- Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 1
- Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms
- Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition
- Transducer-based language embedding for spoken language identification
- Vision Transformers for Single Image Dehazing
- CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
- A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding
- Picture Fuzzy Interactional Aggregation Operators via Strict Triangular Norms and Applications to Multi-Criteria Decision Making
- Spatial Transformer Network on Skeleton-based Gait Recognition
- Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation
- CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction
- Frequency Selective Augmentation for Video Representation Learning
- Multi-scale temporal network for continuous sign language recognition
- Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning
- Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition
- Prediction of COVID-19 using chest X-ray images
- Decompositional Generation Process for Instance-Dependent Partial Label Learning
- From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
- Data-Driven Evaluation of Training Action Space for Reinforcement Learning
- Infusing Knowledge from Wikipedia to Enhance Stance Detection
- Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
- Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning
- PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
- Does the Market of Citations Reward Reproducible Work?
- IA-GCN: Interactive Graph Convolutional Network for Recommendation
- DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
- Canonical Mean Filter for Almost Zero-Shot Multi-Task classification
- Exploring the Universality of Hadronic Jet Classification
- Federated Learning with Partial Model Personalization
- A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis
- End-of-Life of Software How is it Defined and Managed?
- Semantic Representation and Dependency Learning for Multi-Label Image Recognition
- Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
- Free Energy Evaluation Using Marginalized Annealed Importance Sampling
- Does Simultaneous Speech Translation need Simultaneous Models?