Papers
Fri 17 Feb 2023
179 papers
- Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentDiffusion models → Diffusion foundations and sampling
- MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule GenerationDiffusion models → Flow matching, time series and science
- Efficiently Forgetting What You Have Learned in Graph Representation Learning via ProjectionLLM safety and security → Graph unlearning
- LDFA: Latent Diffusion Face Anonymization for Self-driving ApplicationsDiffusion models → Robustness, privacy and adversarial aspects
- Swapped goal-conditioned offline reinforcement learningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Explicit and Implicit Knowledge Distillation via Unlabeled DataKnowledge distillation → General knowledge distillation methods
- Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A State Augmentation based approach to Reinforcement Learning from Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Data Driven Reward Initialization for Preference based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon TrajectoriesWorld models → World models for language agents
- A Pervasive Framework for Human Detection and Tracking
- Prompting Large Language Models With the Socratic Method
- DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
- Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?
- Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage
- Forecasting with Deep Learning
- Novel Epileptic Seizure Detection Techniques and their Empirical Analysis
- HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
- How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study
- Conformers are All You Need for Visual Speech Recognition
- A Novel Noise Injection-based Training Scheme for Better Model Robustness
- Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
- Interpreting wealth distribution via poverty map inference using multimodal data
- DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
- Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks
- Copula-based transferable models for synthetic population generation
- Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
- Extraction of Constituent Factors of Digestion Efficiency in Information Transfer by Media Composed of Texts and Images
- Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
- Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
- Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
- Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
- Improving Training Stability for Multitask Ranking Models in Recommender Systems
- Generative Ornstein-Uhlenbeck Markets via Geometric Deep Learning
- Deep Joint Source-Channel Coding with Iterative Source Error Correction
- Unsupervised Task Graph Generation from Instructional Video Transcripts
- KILM: Knowledge Injection into Encoder-Decoder Language Models
- Mixed Traffic Control and Coordination from Pixels
- Machine Learning for Cutting Planes in Integer Programming: A Survey
- The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference
- Identifying Equivalent Training Dynamics
- Bayesian Quantification with Black-Box Estimators
- Designing Equitable Algorithms
- Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
- Cluster-Guided Label Generation in Extreme Multi-Label Classification
- Towards Co-operative Congestion Mitigation
- JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
- Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
- Robot path planning using deep reinforcement learning
- A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems
- Smoothly Giving up: Robustness for Simple Models
- Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
- ViTA: A Vision Transformer Inference Accelerator for Edge Applications
- Scaling Dimension
- To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features
- OTB-morph: One-Time Biometrics via Morphing
- Complex QA and language models hybrid architectures, Survey
- Multiperiodic Processes: Ergodic Sources with a Sublinear Entropy
- Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences
- Privately Customizing Prefinetuning to Better Match User Data in Federated Learning
- Automated Graph Genetic Algorithm based Puzzle Validation for Faster Game Design
- Solving stochastic weak Minty variational inequalities without increasing batch size
- CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
- Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
- Uniformity Testing over Hypergrids with Subcube Conditioning
- CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19
- Virtualization of Tiny Embedded Systems with a robust real-time capable and extensible Stack Virtual Machine REXAVM supporting Material-integrated Intelligent Systems and Tiny Machine Learning
- Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
- (S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability
- Black-Box Batch Active Learning for Regression
- Model Doctor for Diagnosing and Treating Segmentation Error
- Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
- Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors
- Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
- Deep Reinforcement Learning for mmWave Initial Beam Alignment
- sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI
- Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales
- Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
- Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
- AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
- Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches
- Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories
- Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization
- Long Range Object-Level Monocular Depth Estimation for UAVs
- PAC-Bayesian Generalization Bounds for Adversarial Generative Models
- More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies
- Universality laws for Gaussian mixtures in generalized linear models
- Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming
- Highly connected dynamic artificial neural networks
- Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data
- Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation
- Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
- Massively Multilingual Shallow Fusion with Large Language Models
- Creating generalizable downstream graph models with random projections
- Active learning for data streams: a survey
- Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
- Multimodal Federated Learning via Contrastive Representation Ensemble
- Towards Zero-trust Security for the Metaverse
- Approximately Bayes-Optimal Pseudo Label Selection
- Less is More: The Influence of Pruning on the Explainability of CNNs
All 179
- Optimal Training of Mean Variance Estimation Neural Networks
- Revisiting adversarial training for the worst-performing class
- Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
- AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI
- A Three-Phase Artificial Orcas Algorithm for Continuous and Discrete Problems
- Post Reinforcement Learning Inference
- On (assessing) the fairness of risk score models
- Lip-to-Speech Synthesis in the Wild with Multi-task Learning
- Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks
- h-analysis and data-parallel physics-informed neural networks
- Creating Knowledge Graphs for Geographic Data on the Web
- False perspectives on human language: why statistics needs linguistics
- Apple scab detection in orchards using deep learning on colour and multispectral images
- Natural Response Generation for Chinese Reading Comprehension
- G-Signatures: Global Graph Propagation With Randomized Signatures
- Paint it Black: Generating paintings from text descriptions
- Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
- Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning
- Graphical estimation of multivariate count time series
- Wizard of Errors: Introducing and Evaluating Machine Learning Errors in Wizard of Oz Studies
- Deep comparisons of Neural Networks from the EEGNet family
- Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
- MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
- Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving
- SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
- SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
- Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder
- Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
- Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
- A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
- On the Regularising Levenberg-Marquardt Method for Blinn-Phong Photometric Stereo
- Adversarial Contrastive Distillation with Adaptive Denoising
- Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
- 3D Human Pose Lifting with Grid Convolution
- Value Engineering for Autonomous Agents
- Enhanced Sampling of Configuration and Path Space in a Generalized Ensemble by Shooting Point Exchange
- MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
- Utilization of domain knowledge to improve POMDP belief estimation
- Multi-View Clustering from the Perspective of Mutual Information
- New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
- Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks
- Piecewise Deterministic Markov Processes for Bayesian Neural Networks
- GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis
- Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales
- EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
- Binary Embedding-based Retrieval at Tencent
- Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
- Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
- Multimodal Propaganda Processing
- Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
- The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction
- PAC Prediction Sets for Large Language Models of Code
- SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
- Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition
- Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
- VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
- Random Padding Data Augmentation
- Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
- DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
- EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing
- A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability
- Multimodal Subtask Graph Generation from Instructional Videos
- Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
- Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection
- Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
- Subsampling Suffices for Adaptive Data Analysis
- Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
- Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting
- Minimizing Dynamic Regret on Geodesic Metric Spaces
- Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition
- Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures
- AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
- Fast Temporal Wavelet Graph Neural Networks
- Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
- Improving Transformer-based Networks With Locality For Automatic Speaker Verification
- Low Latency Video Denoising for Online Conferencing Using CNN Architectures
- Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
- jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research
- Practical Contextual Bandits with Feedback Graphs