Papers
Mon 10 Jan 2022
125 papers
- The Effects of Reward Misspecification: Mapping and Mitigating Misaligned ModelsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial NetworksKnowledge distillation → Federated, robust and private distillation
- Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
- GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification
- EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates
- Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
- Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
- Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph
- Desynchronous Learning in a Physics-Driven Learning Network
- Improving ECG Classification Interpretability using Saliency Maps
- A novel method for error analysis in radiation thermometry with application to industrial furnaces
- ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
- Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction
- Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis
- Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
- Emotion Intensity and its Control for Emotional Voice Conversion
- The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence
- Quantum activation functions for quantum neural networks
- Verified Probabilistic Policies for Deep Reinforcement Learning
- Stratified Graph Spectra
- NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
- FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing
- Informal Persian Universal Dependency Treebank
- Homepage2Vec: Language-Agnostic Website Embedding and Classification
- PrintsGAN: Synthetic Fingerprint Generator
- Neuroplastic graph attention networks for nuclei segmentation in histopathology images
- Towards Group Robustness in the presence of Partial Group Labels
- Learning Fair Node Representations with Graph Counterfactual Fairness
- A Likelihood Ratio based Domain Adaptation Method for E2E Models
- 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
- Multi-Query Video Retrieval
- Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations
- Graph-Based Recommendation System Enhanced with Community Detection
- A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow
- SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery
- Evaluating Bayesian Model Visualisations
- Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
- Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
- Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
- Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words
- Language-driven Semantic Segmentation
- A ConvNet for the 2020s
- Investigating internal migration with network analysis and latent space representations: An application to Turkey
- Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability
- SCROLLS: Standardized CompaRison Over Long Language Sequences
- Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
- Permuted and Unlinked Monotone Regression in ℝd: an approach based on mixture modeling and optimal transport
- When is Offline Two-Player Zero-Sum Markov Game Solvable?
- Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
- Black-Box Tuning for Language-Model-as-a-Service
- A study on cross-corpus speech emotion recognition and data augmentation
- Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model
- Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier
- 3D Face Morphing Attacks: Generation, Vulnerability and Detection
- Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
- Bayesian Consistency with the Supremum Metric
- A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages
- Learning polytopes with fixed facet directions
- Systems Challenges for Trustworthy Embodied Systems
- Multiplayer Performative Prediction: Learning in Decision-Dependent Games
- Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
- BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives
- Morphological Analysis of Japanese Hiragana Sentences using the BI-LSTM CRF Model
- High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM
- Continual Learning of Long Topic Sequences in Neural Information Retrieval
- GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation
- A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set
- COIN: Counterfactual Image Generation for VQA Interpretation
- Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping
- DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
- Latency Adjustable Transformer Encoder for Language Understanding
- Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
- Gait Recognition Based on Deep Learning: A Survey
- Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound
- Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection
- A Planck Radiation and Quantization Scheme for Human Cognition and Language
- Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
- GhostNets on Heterogeneous Devices via Cheap Operations
- A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study
- A statistical shape model for radiation-free assessment and classification of craniosynostosis
- An application of the splitting-up method for the computation of a neural network representation for the solution for the filtering equations
- IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
- A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models
- Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
- GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
- Small Object Detection using Deep Learning
- There is no rose without a thorn: Finding weaknesses on BlenderBot 2.0 in terms of Model, Data and User-Centric Approach
- Swin Transformer for Fast MRI
- Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses
- Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping using TreeSHAP
- Local Information Assisted Attention-free Decoder for Audio Captioning
- Handwriting recognition and automatic scoring for descriptive answers in Japanese language tests
- Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
- Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds
- Model-Based Image Signal Processors via Learnable Dictionaries
- Differentially Private ℓ1-norm Linear Regression with Heavy-tailed Data
- Differentiable and Scalable Generative Adversarial Models for Data Imputation
- Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models
- Task planning and explanation with virtual actions
- End-to-end lossless compression of high precision depth maps guided by pseudo-residual
All 125
- Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
- Writing Style Aware Document-level Event Extraction
- An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems
- MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
- Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
- Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
- Transfer Learning for Scene Text Recognition in Indian Languages
- Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR Image Road Extraction
- Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
- A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
- Style, Content, and the Success of Ideas
- Quantifying Gender Bias in Consumer Culture
- Communication-Efficient Federated Learning with Accelerated Client Gradient
- TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials
- Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
- m^ast of two-dimensional electron gas: a neural canonical transformation study
- Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
- Supervised Contrastive Learning for Recommendation
- Multi-Level Attention for Unsupervised Person Re-Identification
- Differentially Private Generative Adversarial Networks with Model Inversion
- An Interpretable Federated Learning-based Network Intrusion Detection Framework
- Systematic biases when using deep neural networks for annotating large catalogs of astronomical images
- Loss-calibrated expectation propagation for approximate Bayesian decision-making
- Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
- Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control