Papers
Fri 24 Feb 2023
171 papers
- Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material propertiesDiffusion models → Flow matching, time series and science
- Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataLLM reasoning → Prompting and chain-of-thought reasoning
- VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationOffline RL and imitation learning from data → Offline RL algorithms
- Modulating Pretrained Diffusion Models for Multimodal Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Ensemble knowledge distillation of self-supervised speech modelsKnowledge distillation → Speech and audio distillation
- Active Membership Inference Attack under Local Differential Privacy in Federated LearningLLM safety and security → Federated unlearning and poisoning
- A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in ClutterVision-language-action models → 3D and spatial-aware VLA
- Neural Laplace Control for Continuous-time Delayed SystemsOffline RL and imitation learning from data → Offline RL algorithms
- Membership Inference Attacks against Synthetic Data through Overfitting DetectionLLM safety and security → Membership inference attacks
- Implicit Temporal Reasoning for Evidence-Based Fact-CheckingLLM reasoning → Reasoning benchmarks and evaluation
- A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic ImageKnowledge distillation → Distillation for medical imaging
- Unsupervised Discovery of Semantic Latent Directions in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Analyzing And Editing Inner Mechanisms Of Backdoored Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Subspace based Federated UnlearningLLM safety and security → Federated unlearning and poisoning
- MimicPlay: Long-Horizon Imitation Learning by Watching Human PlayOffline RL and imitation learning from data → Robot manipulation imitation learning
- Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
- On-Device Unsupervised Image Segmentation
- Visual motion analysis of the player's finger
- Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning
- LaSER: Language-Specific Event Recommendation
- Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
- Randomized Kaczmarz in Adversarial Distributed Setting
- TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation
- Phone and speaker spatial organization in self-supervised speech representations
- Data Augmentation with GAN increases the Performance of Arrhythmia Classification for an Unbalanced Dataset
- A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm
- Adapting Pre-trained Language Models for Quantum Natural Language Processing
- Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail
- Robot Behavior-Tree-Based Task Generation with Large Language Models
- Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs
- Automatic Classification of Symmetry of Hemithoraces in Canine and Feline Radiographs
- Pre-Finetuning for Few-Shot Emotional Speech Recognition
- Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems
- Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks
- Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
- Linking Streets in OpenStreetMap to Persons in Wikidata
- Generative Invertible Quantum Neural Networks
- NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
- The Dormant Neuron Phenomenon in Deep Reinforcement Learning
- Multi-Agent Reinforcement Learning with Common Policy for Antenna Tilt Optimization
- Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation
- Elliptic PDE learning is provably data-efficient
- 3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data
- FLINT: A Platform for Federated Learning Integration
- Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data
- HULAT at SemEval-2023 Task 10: Data augmentation for pre-trained transformers applied to the detection of sexism in social media
- A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification
- Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
- Improving Massively Multilingual ASR With Auxiliary CTC Objectives
- SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
- Decoupling Human and Camera Motion from Videos in the Wild
- Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
- Generative Models of Huge Objects
- GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
- Linearization Algorithms for Fully Composite Optimization
- 3D Generative Model Latent Disentanglement via Local Eigenprojection
- HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained transformers applied to Multilingual Tweet Intimacy Analysis
- STA: Self-controlled Text Augmentation for Improving Text Classifications
- FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets
- Language-Driven Representation Learning for Robotics
- Modularity-based approach for tracking communities in dynamic social networks
- Defending Against Backdoor Attacks by Layer-wise Feature Analysis
- A Uniform Quantum Computing Model Based on Virtual Quantum Processors
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
- Spanish Built Factual Freectianary (Spanish-BFF): the first AI-generated free dictionary
- Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning
- Balanced Off-Policy Evaluation for Personalized Pricing
- Regulating Clients' Noise Adding in Federated Learning without Verification
- LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version
- Statistical Inference with Stochastic Gradient Methods under φ-mixing Data
- Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarization
- Hiding Data Helps: On the Benefits of Masking for Sparse Coding
- Amortised Invariance Learning for Contrastive Self-Supervision
- Cross-Lingual Transfer of Cognitive Processing Complexity
- Wasserstein Projection Pursuit of Non-Gaussian Signals
- Language Models are Few-shot Learners for Prognostic Prediction
- Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues
- GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
- Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks
- Intersectional Fairness: A Fractal Approach
- A DeepONet multi-fidelity approach for residual learning in reduced order modeling
- Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
- Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
- Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
- Deep active learning for nonlinear system identification
- Modelling Temporal Document Sequences for Clinical ICD Coding
- FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
- COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation
- In-Depth Look at Word Filling Societal Bias Measures
- Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks
- TUTORING: Instruction-Grounded Conversational Agent for Language Learners
- T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression
- Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
- CARE: Collaborative AI-Assisted Reading Environment
- Retrospective Uncertainties for Deep Models using Vine Copulas
- "An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals
- EvoTorch: Scalable Evolutionary Computation in Python
- A Machine Learning Approach for Hierarchical Classification of Software Requirements
- Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction
All 171
- Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits
- A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas
- Effect of Lossy Compression Algorithms on Face Image Quality and Recognition
- Securing IoT Communication using Physical Sensor Data -- Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning
- Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data
- Revisiting Modality Imbalance In Multimodal Pedestrian Detection
- VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
- Fairness in Language Models Beyond English: Gaps and Challenges
- 3D PETCT Tumor Lesion Segmentation via GCN Refinement
- Variational Linearized Laplace Approximation for Bayesian Deep Learning
- Retrieved Sequence Augmentation for Protein Representation Learning
- From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
- Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
- Deep Learning for Video-Text Retrieval: a Review
- Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks
- Asymptotic convergence of iterative optimization algorithms
- UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
- Why Target Networks Stabilise Temporal Difference Methods
- HUST bearing: a practical dataset for ball bearing fault diagnosis
- Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention
- Dual Path Modeling for Semantic Matching by Perceiving Subtle Conflicts
- Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
- Model-Based Uncertainty in Value Functions
- A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC
- AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
- DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference
- Personalizing Federated Learning with Over-the-Air Computations
- Spatial Bias for Attention-free Non-local Neural Networks
- Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes
- FedPDC:Federated Learning for Public Dataset Correction
- Scalable Unbalanced Sobolev Transport for Measures on a Graph
- Data fusion of satellite imagery for generation of daily cloud free images at high resolution level
- SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge
- Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
- Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
- Disease Severity Regression with Continuous Data Augmentation
- Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
- Frequency and Scale Perspectives of Feature Extraction
- Adapting Knowledge for Few-shot Table-to-Text Generation
- PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
- RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
- Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs
- Inducing Neural Collapse in Deep Long-tailed Learning
- SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
- DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
- On the Training Instability of Shuffling SGD with Batch Normalization
- MUX-PLMs: Data Multiplexing for High-throughput Language Models
- Simultaneous upper and lower bounds of American-style option prices with hedging via neural networks
- Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion
- ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
- Graph Neural Networks with Learnable and Optimal Polynomial Bases
- Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
- Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
- An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images
- A Targeted Accuracy Diagnostic for Variational Approximations
- Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
- A Convolutional Vision Transformer for Semantic Segmentation of Side-Scan Sonar Data
- HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
- Plume: A Framework for High Performance Deep RL Network Controllers via Prioritized Trace Sampling
- Towards Stable Test-Time Adaptation in Dynamic Wild World
- Graph Laplacians on Shared Nearest Neighbor graphs and graph Laplacians on k-Nearest Neighbor graphs having the same limit
- Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
- Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using Geospatial Data and Polygon Models
- PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS
- Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
- TrafFormer: A Transformer Model for Predicting Long-term Traffic
- Generalization Analysis for Contrastive Representation Learning
- Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
- Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda
- Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds
- Factual Consistency Oriented Speech Recognition