Papers
Fri 7 Jul 2023
162 papers
- AutoDecoding Latent 3D Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Unsupervised 3D out-of-distribution detection with latent diffusion modelsDiffusion models → Medical imaging and segmentation
- Scalable Membership Inference Attacks via Quantile RegressionLLM safety and security → Membership inference attacks
- Simulation-free Schr"odinger bridges via score and flow matchingDiffusion models → Diffusion foundations and sampling
- Decomposing the Generalization Gap in Imitation Learning for Visual Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic ModelDiffusion models → Inverse problems and image restoration
- Goal-Conditioned Predictive Coding for Offline Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory GenerationLLM safety and security → Federated unlearning and poisoning +1
- Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series DataKnowledge distillation → General knowledge distillation methods
- AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI
- Artificial Eye for the Blind
- Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance
- Contrastive Graph Pooling for Explainable Classification of Brain Networks
- A Natural Language Processing Approach to Malware Classification
- Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning
- Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
- Keystroke Dynamics for User Identification
- The Ethical Implications of Generative Audio Models: A Systematic Literature Review
- Toward High-Performance Energy and Power Battery Cells with Machine Learning-based Optimization of Electrode Manufacturing
- Estimating Deep Learning energy consumption based on model architecture and training environment
- Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis
- Procedurally generating rules to adapt difficulty for narrative puzzle games
- Adaptive Graph Convolution Networks for Traffic Flow Forecasting
- AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation
- TBSS++: A novel computational method for Tract-Based Spatial Statistics
- Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information
- Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
- A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables
- LaunchpadGPT: Language Model as Music Visualization Designer on Launchpad
- Invariant Scattering Transform for Medical Imaging
- Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
- Why machines do not understand: A response to Sogaard
- Action-State Dependent Dynamic Model Selection
- MultiQG-TI: Towards Question Generation from Multi-modal Sources
- Solvent: A Framework for Protein Folding
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
- Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning
- Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization
- MDACE: MIMIC Documents Annotated with Code Evidence
- Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
- inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data
- Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
- Optimal Learners for Realizable Regression: PAC Learning and Online Learning
- Blocks2World: Controlling Realistic Scenes with Editable Primitives
- RADAR: Robust AI-Text Detection via Adversarial Learning
- Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
- Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI
- How does AI chat change search behaviors?
- Linguistic representations for fewer-shot relation extraction across domains
- Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
- A Combinatorial Characterization of Supervised Online Learnability
- Controlling Chaotic Maps using Next-Generation Reservoir Computing
- Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
- URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
- A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness
- Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph
- Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
- Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
- Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
- Neural Abstraction-Based Controller Synthesis and Deployment
- For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles
- Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
- DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
- A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
- Federated Learning over a Wireless Network: Distributed User Selection through Random Access
- When does the ID algorithm fail?
- On the Efficacy of Sampling Adapters
- Incentive-Theoretic Bayesian Inference for Collaborative Science
- Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
- QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models
- Improving Automatic Quotation Attribution in Literary Novels
- Polybot: Training One Policy Across Robots While Embracing Variability
- SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation
- INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers
- Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
- Equivariant Single View Pose Prediction Via Induced and Restricted Representations
- Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media
- Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation
- Differentiable Turbulence: Closure as a partial differential equation constrained optimization
- GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
- Testing the Predictions of Surprisal Theory in 11 Languages
- Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery
- The distribution of discourse relations within and across turns in spontaneous conversation
- Online Network Source Optimization with Graph-Kernel MAB
- Discovering Variable Binding Circuitry with Desiderata
- PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs
- Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion
- Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal
- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
- GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
- VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
- Accelerated Optimization Landscape of Linear-Quadratic Regulator
- Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
- ContextLabeler Dataset: physical and virtual sensors data collected from smartphone usage in-the-wild
- Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
- CuTS: Customizable Tabular Synthetic Data Generation
- One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
- Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data
- Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization
All 162
- Text Simplification of Scientific Texts for Non-Expert Readers
- SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
- MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
- VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data
- DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data Sampling
- Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features
- Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
- Language-free Compositional Action Generation via Decoupling Refinement
- Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios
- Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
- Quantifying the perceptual value of lexical and non-lexical channels in speech
- Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
- Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data
- Derivative Free Weight-space Ensembling
- RCDN -- Robust X-Corner Detection Algorithm based on Advanced CNN Model
- DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification
- HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution
- ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers
- Large AI Model-Based Semantic Communications
- Learning Theory of Distribution Regression with Neural Networks
- Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
- Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
- Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network -- 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition
- TBGC: Task-level Backbone-Oriented Gradient Clip for Multi-Task Foundation Model Learning
- A Deep Active Contour Model for Delineating Glacier Calving Fronts
- On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
- Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
- Towards Deep Network Steganography: From Networks to Networks
- NOFA: NeRF-based One-shot Facial Avatar Reconstruction
- Differential Privacy for Clustering Under Continual Observation
- Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
- Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection
- Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
- QI2 -- an Interactive Tool for Data Quality Assurance
- Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds
- Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency
- Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
- Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
- Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
- RGB-D Mapping and Tracking in a Plenoxel Radiance Field
- Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
- General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation
- AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime
- Teaching Arithmetic to Small Transformers
- On Formal Feature Attribution and Its Approximation
- Efficient Ground Vehicle Path Following in Game AI
- A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification
- Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
- Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
- STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
- All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
- Distilled Pruning: Using Synthetic Data to Win the Lottery
- Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans
- Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
- CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method
- Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
- Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments
- A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
- Open-Vocabulary Object Detection via Scene Graph Discovery
- Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data
- Explainable quantum regression algorithm with encoded data structure