Papers
Fri 13 May 2022
147 papers
- l-Leaks: Membership Inference Attacks with LogitsLLM safety and security → Membership inference attacks
- PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- On three types of L-fuzzy β-covering-based rough sets
- Formalization of the principles of brain Programming (Brain Principles Programming)
- The Neuro-Symbolic Brain
- Machine learning methods for Schlieren imaging of a plasma channel in tenuous atomic vapor
- Some neighborhood-related fuzzy covering-based rough set models and their applications for decision making
- The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11
- Leveraging Global Binary Masks for Structure Segmentation in Medical Images
- Fault Detection for Non-Condensing Boilers using Simulated Building Automation System Sensor Data
- A Study of the Attention Abnormality in Trojaned BERTs
- Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach
- How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
- KnowGraph-PM: a Knowledge Graph based Pricing Model for Semiconductors Supply Chains
- ImageSig: A signature transform for ultra-lightweight image recognition
- Toward a Geometrical Understanding of Self-supervised Contrastive Learning
- A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
- Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
- Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
- Grounding Explainability Within the Context of Global South in XAI
- Representation learning with function call graph transformations for malware open set recognition
- Formal limitations of sample-wise information-theoretic generalization bounds
- A Property Induction Framework for Neural Language Models
- Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
- Multimodal Conversational AI: A Survey of Datasets and Approaches
- Structural Dropout for Model Width Compression
- Perspectives on Incorporating Expert Feedback into Model Updates
- Developing a Production System for Purpose of Call Detection in Business Phone Conversations
- MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic
- Differentiable programming: Generalization, characterization and limitations of deep learning
- Robustness of Control Design via Bayesian Learning
- Bootstrapping Text Anonymization Models with Distant Supervision
- Large-Scale Sequential Learning for Recommender and Engineering Systems
- Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
- AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
- PathologyBERT -- Pre-trained Vs. A New Transformer Language Model for Pathology Domain
- Using Augmented Face Images to Improve Facial Recognition Tasks
- Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
- A Huber loss-based super learner with applications to healthcare expenditures
- Sentiment Analysis of Covid-related Reddits
- From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
- Physics guided neural networks for modelling of non-linear dynamics
- An Approach for Automatic Construction of an Algorithmic Knowledge Graph from Textual Resources
- Optimal Comparator Adaptive Online Learning with Switching Cost
- IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations
- A Framework for Event-based Computer Vision on a Mobile Device
- Multi-variant COVID-19 model with heterogeneous transmission rates using deep neural networks
- Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
- Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and Hybrid Beamforming
- Principal-Agent Hypothesis Testing
- Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
- VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
- Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
- The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes
- Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
- Multiple Domain Causal Networks
- KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
- Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs
- Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
- EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome
- Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks
- Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
- Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks
- Interlock-Free Multi-Aspect Rationalization for Text Classification
- Who Are We Talking About? Handling Person Names in Speech Translation
- Slimmable Video Codec
- Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
- A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
- Towards Deployable OCR models for Indic languages
- Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models
- Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
- Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture
- On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
- A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
- Learning Keypoints from Synthetic Data for Robotic Cloth Folding
- Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems
- MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
- Knowledge Distillation Meets Open-Set Semi-Supervised Learning
- DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
- LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
- Heavy-Tail Phenomenon in Decentralized SGD
- A Unified Framework for Implicit Sinkhorn Differentiation
- The Effectiveness of Temporal Dependency in Deepfake Video Detection
- Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces
- MOPaC: The Multiple Offers Protocol for Multilateral Negotiations with Partial Consensus
- Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
- The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platforms
- Unified Modeling of Multi-Domain Multi-Device ASR Systems
- Controlling Translation Formality Using Pre-trained Multilingual Language Models
- The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
- Modelling stellar activity with Gaussian process regression networks
- Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
- FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
- The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
- StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map
- Weakly Supervised Text Classification using Supervision Signals from a Language Model
- Improving Contextual Representation with Gloss Regularized Pre-training
- Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs
- Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
- Detecting Rumours with Latency Guarantees using Massive Streaming Data
All 147
- Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
- Convergence Analysis of Deep Residual Networks
- Convergence of Deep Neural Networks with General Activation Functions and Pooling
- Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
- Kronecker Decomposition for Knowledge Graph Embeddings
- Virtual passengers for real car solutions: synthetic datasets
- Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation
- Unsupervised Structure-Texture Separation Network for Oracle Character Recognition
- Meta Balanced Network for Fair Face Recognition
- Uninorm-like parametric activation functions for human-understandable neural models
- Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
- Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions
- Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest
- Productivity Assessment of Neural Code Completion
- Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering
- Joint Generation of Captions and Subtitles with Dual Decoding
- Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
- FontNet: Closing the gap to font designer performance in font synthesis
- Precise Change Point Detection using Spectral Drift Detection
- Collaborative Drug Discovery: Inference-level Data Protection Perspective
- DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
- Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
- RTMaps-based Local Dynamic Map for multi-ADAS data fusion
- A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
- Tighter Regret Analysis and Optimization of Online Federated Learning
- Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by Deep Reinforcement Learning
- A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images
- Modeling Human Behavior Part I -- Learning and Belief Approaches
- Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty
- Data-Driven Estimation of Capacity Upper Bounds
- Monocular Human Digitization via Implicit Re-projection Networks
- ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation
- Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
- R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
- Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning
- A microstructure estimation Transformer inspired by sparse representation for diffusion MRI
- FRIH: Fine-grained Region-aware Image Harmonization
- Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition
- AEON: A Method for Automatic Evaluation of NLP Test Cases
- A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
- TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
- Test-time Fourier Style Calibration for Domain Generalization
- Talking Face Generation with Multilingual TTS
- Video-based assessment of intraoperative surgical skill
- Design and Implementation of a Quantum Kernel for Natural Language Processing
- Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
- Fast Conditional Network Compression Using Bayesian HyperNetworks