Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data


Interpretable 3D Human Action Analysis with Temporal Convolutional Networks


Interpretable AI for relating brain structural and functional connectomes


Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection


Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder


Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance


Interpretable Approximation of High-Dimensional Data


Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization


Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity


Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data


Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions


Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets


Interpretable Clustering with the Distinguishability Criterion


Interpretable Compositional Convolutional Neural Networks


Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection


Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents


Interpretable Concept-Based Memory Reasoning


Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games


Interpretable Contrastive Monte Carlo Tree Search Reasoning


Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention


Interpretable Decision Tree Search as a Markov Decision Process


Interpretable Deep Clustering for Tabular Data


Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement


Interpretable Deep Learning Methods for Multiview Learning


Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram


Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones


Interpretable Deep Learning in Drug Discovery


Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition


Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution


Interpretable Diffusion via Information Decomposition


Interpretable Distribution Features with Maximum Testing Power


Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals


Interpretable Early Warnings using Machine Learning in an Online Game-experiment


Interpretable Embedding for Ad-hoc Video Search


Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders


Interpretable Emergent Language Using Inter-Agent Transformers


Interpretable Ensembles of Hyper-Rectangles as Base Models


Interpretable Enzyme Function Prediction via Residue-Level Detection


Interpretable Fake News Detection with Topic and Deep Variational Models


Interpretable Fault Detection using Projections of Mutual Information Matrix


Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network


Interpretable Generalized Additive Models for Datasets with Missing Values


Interpretable Generative Models through Post-hoc Concept Bottlenecks


Interpretable Geometric Deep Learning via Learnable Randomness Injection


Interpretable Image Classification via Non-parametric Part Prototype Learning


Interpretable Image Classification with Adaptive Prototype-based Vision Transformers


Interpretable Image Classification with Differentiable Prototypes Assignment


Interpretable Image Recognition with Hierarchical Prototypes


Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning


Interpretable Language Modeling via Induction-head Ngram Models


Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models


Interpretable Long-term Action Quality Assessment


Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task


Interpretable Machine Learning for Materials Design


Interpretable Machine Learning for Survival Analysis


Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines


Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild


Interpretable Medical Image Classification using Prototype Learning and Privileged Information


Interpretable Mesomorphic Networks for Tabular Data


Interpretable Model Summaries Using the Wasserstein Distance


Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets


Interpretable Models for Granger Causality Using Self-explaining Neural Networks


Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning


Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data


Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment


Interpretable Multimodal Misinformation Detection with Logic Reasoning


Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform


Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2


Interpretable Network Representation Learning with Principal Component Analysis


Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification


Interpretable Neural Predictions with Differentiable Binary Variables


Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression


Interpretable Off-Policy Learning via Hyperbox Search


Interpretable Online Network Dictionary Learning for Inferring Long-Range Chromatin Interactions


Interpretable Patient Mortality Prediction with Multi-value Rule Sets


Interpretable Pre-Trained Transformers for Heart Time-Series Data


Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning


Interpretable Probabilistic Password Strength Meters via Deep Learning


Interpretable Prognostics with Concept Bottleneck Models


Interpretable Proof Generation via Iterative Backward Reasoning


Interpretable Prototype-based Graph Information Bottleneck


Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery


Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting


Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning


Interpretable Risk Mitigation in LLM Agent Systems


Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset


Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction


Interpretable Semantic Photo Geolocation


Interpretable Sequence Classification via Discrete Optimization


Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph


Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks


Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction


Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery


Interpretable Temporal Class Activation Representation for Audio Spoofing Detection


Interpretable Textual Neuron Representations for NLP


Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows


Interpretable Time-series Classification on Few-shot Samples


Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks


Interpretable Triplet Importance for Personalized Ranking


Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios


Interpretable Vertebral Fracture Diagnosis


Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology


Interpretable Visual Reasoning via Induced Symbolic Space


Interpretable Visual Understanding with Cognitive Attention Network


Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data


Interpretable Visualizations with Differentiating Embedding Networks


Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images


Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis


Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder


Interpretable and Differentially Private Predictions


Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning


Interpretable and Efficient Heterogeneous Graph Convolutional Network


Interpretable and Fair Mechanisms for Abstaining Classifiers


Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays


Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making


Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations


Interpretable and Robust AI in EEG Systems: A Survey


Interpretable and Steerable Sequence Learning via Prototypes


Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality


Interpretable and unsupervised phase classification


Interpretable breast cancer classification using CNNs on mammographic images


Interpretable contrastive word mover's embedding


Interpretable domain knowledge enhanced machine learning framework on axial capacity prediction of circular CFST columns


Interpretable exact linear reductions via positivity


Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology


Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning


Interpretable learning of voltage for electrode design of multivalent metal-ion batteries


Interpretable machine learning for high-dimensional trajectories of aging health


Interpretable models for extrapolation in scientific machine learning


Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models


Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON


Interpretable neural architecture search and transfer learning for understanding CRISPR/Cas9 off-target enzymatic reactions


Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack


Interpretable statistical representations of neural population dynamics and geometry


Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case


Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure


Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data


Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data


Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck


Interpretation of 3D CNNs for Brain MRI Data Classification


Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data


Interpretation of Intracardiac Electrograms Through Textual Representations


Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning


Interpretation of machine learning predictions for patient outcomes in electronic health records


Interpretation of multi-label classification models using shapley values


Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning


Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps


Interpretations of Domain Adaptations via Layer Variational Analysis


Interpreting Adversarially Trained Convolutional Neural Networks


Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains


Interpreting Answers to Yes-No Questions in User-Generated Content


Interpreting Attention Layer Outputs with Sparse Autoencoders


Interpreting Audiograms with Multi-stage Neural Networks


Interpreting BERT architecture predictions for peptide presentation by MHC class I proteins


Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology


Interpreting Black Box Models via Hypothesis Testing


Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)


Interpreting CLIP's Image Representation via Text-Based Decomposition


Interpreting CNN Predictions using Conditional Generative Adversarial Networks


Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning


Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks


Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding


Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models


Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features


Interpreting Deep Models through the Lens of Data


Interpreting Deep Neural Networks with the Package innsight


Interpreting Deepcode, a learned feedback code


Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach


Interpreting Embedding Spaces by Conceptualization


Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance Propagation


Interpreting Face Inference Models using Hierarchical Network Dissection


Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking


Interpreting Indirect Answers to Yes-No Questions in Multiple Languages


Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models


Interpreting Language Models Through Knowledge Graph Extraction


Interpreting Language Models with Contrastive Explanations


Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning


Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods


Interpreting Latent Student Knowledge Representations in Programming Assignments


Interpreting Learned Feedback Patterns in Large Language Models


Interpreting Low-level Vision Models with Causal Effect Maps


Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic Buildings


Interpreting Microbiome Relative Abundance Data Using Symbolic Regression


Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation


Interpreting Object-level Foundation Models via Visual Precision Search


Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection


Interpreting Sentiment Composition with Latent Semantic Tree


Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model


Interpreting Temporal Graph Neural Networks with Koopman Theory


Interpreting Themes from Educational Stories


Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections


Interpreting Transformers for Jet Tagging


Interpreting Unfairness in Graph Neural Networks via Training Node Attribution


Interpreting User Requests in the Context of Natural Language Standing Instructions


Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial Perturbations


Interpreting a Semantic Segmentation Model for Coastline Detection


Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge


Interpreting and Controlling Vision Foundation Models via Text Explanations


Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations


Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning


Interpreting and Improving Diffusion Models from an Optimization Perspective


Interpreting and Steering Protein Language Models through Sparse Autoencoders


Interpreting and generalizing deep learning in physics-based problems with functional linear models


Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)


Interpreting artificial neural networks to detect genome-wide association signals for complex traits


Interpreting deep urban sound classification using Layer-wise Relevance Propagation


Interpreting how nonlinear diffusion affects the fate of bistable populations using a discrete modelling framework


Interpreting the Ising Model: The Input Matters


Interpreting the Repeated Token Phenomenon in Large Language Models


Interpreting the Weight Space of Customized Diffusion Models


Interpreting the X-ray afterglows of gamma-ray bursts with radiative losses and millisecond magnetars


Interpreting the atmospheric composition of exoplanets: sensitivity to planet formation assumptions


InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations


InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers


Interrogating the Explanatory Power of Attention in Neural Machine Translation


Interrupted and cascaded permutation invariant training for speech separation


Interruption Handling for Conversational Robots


Interruptions detection in video conferences


Intersecting near-optimal spaces: European power systems with more resilience to weather variability


Intersection Numbers from Companion Tensor Algebra


Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA


Intersection of Parallels as an Early Stopping Criterion


Intersection over Union with smoothing for bounding box regression


IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning


Intersectional Bias in Hate Speech and Abusive Language Datasets


Intersectional Two-sided Fairness in Recommendation


Intersectional inequalities in social networks


Intersectionality: Multiple Group Fairness in Expectation Constraints


Interspecies Knowledge Transfer for Facial Keypoint Detection


Interstellar Meteors from Tidal Disruption of Rocky Planets on Eccentric Orbits Around M Dwarfs


Interstellar communication network. III. Locating deep space nodes


Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding


Interval Abstractions for Robust Counterfactual Explanations


Interval Bound Interpolation for Few-shot Learning with Few Tasks


Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data


Interval Signal Temporal Logic from Natural Inclusion Functions


Interval and fuzzy physics-informed neural networks for uncertain fields


Interval constraint programming for globally solving catalog-based categorical optimization


Interval propagation through the discrete Fourier transform


Interval-censored linear quantile regression


IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes


Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes


Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective


Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images


Interventional Causal Discovery in a Mixture of DAGs


Interventional Causal Representation Learning


Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models


Interventional Video Grounding with Dual Contrastive Learning


Interweaved Graph and Attention Network for 3D Human Pose Estimation


Interweaving Memories of a Siamese Large Language Model


Into Summarization Techniques for IoT Data Discovery Routing


Into the Fog: Evaluating Robustness of Multiple Object Tracking


Into the Unknown: Active Monitoring of Neural Networks


Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places


Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities


Into the Unknown: Self-Learning Large Language Models


Into the Woods: A graph theoretic proof of the Dodgson/Muir identity


Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports


IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning


Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks


Intra and Inter Parser-Prompted Transformers for Effective Image Restoration


Intra-Chromosomal Potentials from Nucleosomal Positioning Data


Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking


Intra-Inter Camera Similarity for Unsupervised Person Re-Identification


Intra-Layer Recurrence in Transformers for Language Modeling


Intra-Modal Constraint Loss For Image-Text Retrieval


Intra-Query Runtime Elasticity for Cloud-Native Data Analysis


Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning


Intra-class Patch Swap for Self-Distillation


Intra-model Variability in COVID-19 Classification Using Chest X-ray Images


Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound


IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors


IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization


Intracluster light is a biased tracer of the dark matter distribution in clusters


Intracranial Hemorrhage Segmentation Using Deep Convolutional Model


Intracranial hemodynamics simulations: An efficient and accurate immersed boundary scheme


Intractability of Learning the Discrete Logarithm with Gradient-Based Methods


Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering


Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology


Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning


Intraseasonal synchronization of extreme rainfalls between North India and the Sahel


Intriguing Findings of Frequency Selection for Image Deblurring


Intriguing Properties of Data Attribution on Diffusion Models


Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation


Intrinsic Bayesian Cramér-Rao Bound with an Application to Covariance Matrix Estimation


Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders


Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks


Intrinsic Decomposition of Document Images In-the-Wild


Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations


Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts


Intrinsic Dimension for Large-Scale Geometric Learning


Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis


Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications


Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces


Intrinsic Gaussian Vector Fields on Manifolds


Intrinsic Harmonization for Illumination-Aware Compositing


Intrinsic Image Decomposition Using Point Cloud Representation


Intrinsic Image Diffusion for Indoor Single-view Material Estimation


Intrinsic Image Transfer for Illumination Manipulation


Intrinsic Instrumental Polarization and High-Precision Pulsar Timing


Intrinsic Kerr amplification for microwave electromechanics


Intrinsic Knowledge Evaluation on Chinese Language Models


Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation


Intrinsic Probing through Dimension Selection


Intrinsic Propensity for Vulnerability in Computers? Arbitrary Code Execution in the Universal Turing Machine


Intrinsic Randomness in Epidemic Modelling Beyond Statistical Uncertainty


Intrinsic Reward Driven Imitation Learning via Generative Model


Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations


Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations


Intrinsic Self-Supervision for Data Quality Audits


Intrinsic Single-Image HDR Reconstruction


Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs


Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios


Intrinsic dimension estimation for locally undersampled data


Intrinsic fluctuations of reinforcement learning promote cooperation


Intrinsic mixed-dimensional beam-shell-solid couplings in linear Cosserat continua via tangential differential calculus


Intrinsic oceanic decadal variability of upper-ocean heat content


Intrinsic persistent homology via density-based metric learning


Intrinsic shape analysis in archaeology: A case study on ancient sundials


Intrinsic statistical separation of subpopulations in heterogeneous collective motion via dimensionality reduction


Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures


Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer


IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis


Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy


Intrinsically episodic Antarctic shelf intrusions of circumpolar deep water via canyons


Intrinsically motivated collective motion


Intrinsically motivated graph exploration using network theories of human curiosity


Intrinsically-Motivated Humans and Agents in Open-World Exploration


IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features


Introducing Aspects of Creativity in Automatic Poetry Generation


Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos


Introducing Asynchronicity to Probabilistic Hyperproperties


Introducing Auxiliary Text Query-modifier to Content-based Audio Retrieval


Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces


Introducing ChatSQC: Enhancing Statistical Quality Control with Augmented AI


Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup


Introducing Discrepancy Values of Matrices with Application to Bounding Norms of Commutators


Introducing EEG Analyses to Help Personal Music Preference Prediction


Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales


Introducing Grid WAR: Rethinking WAR for Starting Pitchers


Introducing Information Retrieval for Biomedical Informatics Students


Introducing Interactions in Multi-Objective Optimization of Software Architectures


Introducing Large Language Models as the Next Challenging Internet Traffic Source


Introducing Learning Rate Adaptation CMA-ES into Rigid 2D/3D Registration for Robotic Navigation in Spine Surgery


Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection


Introducing MathQA -- A Math-Aware Question Answering System


Introducing Milabench: Benchmarking Accelerators for AI


Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours


Introducing Orthogonal Constraint in Structural Probes


Introducing PT-REX, the Point-to-point TRend EXtractor


Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection


Introducing ROADS: A Systematic Comparison of Remote Control Interaction Concepts for Automated Vehicles at Road Works


Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust


Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks


Introducing STARDIS: An Open and Modular Stellar Spectral Synthesis Code


Introducing Self-Attention to Target Attentive Graph Neural Networks


Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting


Introducing Tales of Tribute AI Competition


Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development


Introducing Total Harmonic Resistance for Graph Robustness under Edge Deletions


Introducing UNIQuE: The Unconventional Noiseless Intermediate Quantum Emulator


Introducing User Feedback-based Counterfactual Explanations (UFCE)


Introducing Variational Inference in Statistics and Data Science Curriculum


Introducing Visual Perception Token into Multimodal Large Language Model


Introducing a Class-Aware Metric for Monocular Depth Estimation: An Automotive Perspective


Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation


Introducing a New Spitzer Master BLISS Map to Remove the Instrument-Systematic -- Phase-Curve-Parameter Degeneracy, as Demonstrated by a Reanalysis of the 4.5$\mu m$ WASP-43b Phase Curve


Introducing a Real-time Interactive GUI Tool for Visualization of Galaxy Spectra


Introducing a framework to assess newly created questions with Natural Language Processing


Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space


Introducing causal inference in the energy-efficient building design process


Introducing constrained matched filters for improved separation of point sources from galaxy clusters


Introducing cuDisc: a 2D code for protoplanetary disc structure and evolution calculations


Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems


Introducing students to research codes: A short course on solving partial differential equations in Python


Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions


Introducing the Descriptive Parametric Model: Gaseous Profiles for Galaxies, Groups, and Clusters


Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings


Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics


Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds


Introducing the Welsh Text Summarisation Dataset and Baseline Systems


Introducing topography in convolutional neural networks


Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reduction


Introducing v0.5 of the AI Safety Benchmark from MLCommons


Introducing voice timbre attribute detection


Introduction and verification of FEDM, an open-source FEniCS-based discharge modelling code


Introduction to "RORPack": A Python Software Library for Robust Output Regulation


Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)


Introduction to Fusion Ignition Principles: Zeroth Order Factors of Fusion Energy Research


Introduction to Generalized Fiducial Inference


Introduction to Mathematical Programming-Based Error-Correction Decoding


Introduction to Nonsmooth Analysis and Optimization


Introduction to Sequence Modeling with Transformers


Introduction to Transformers: an NLP Perspective


Introduction to exterior differential systems


Introduction to the PanScales framework, version 0.1


Introgression Browser: High throughput whole-genome SNP visualization


Introspective Distillation for Robust Question Answering


Introspective Experience Replay: Look Back When Surprised


Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity


Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level


Intuitionism with Truth Tables: A Decision Procedure for IPL Based on RNmatrices


Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers


Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine


Intuitions of Compromise: Utilitarianism vs. Contractualism


Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation


Intuitive Contrasting Map for Antonym Embeddings


Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process


Intuitive Robot Integration via Virtual Reality Workspaces


Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics


Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis


Intuitive physics understanding emerges from self-supervised pretraining on natural videos


Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models


InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains


InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials


InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors


InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models


InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems


InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding


Invading and receding sharp-fronted travelling waves


Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning


Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations


Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning


Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification


Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization


Invariance encoding in sliced-Wasserstein space for image classification with limited training data


Invariance of deep image quality metrics to affine transformations


Invariance, encodings, and generalization: learning identity effects with neural networks


Invariances and Data Augmentation for Supervised Music Transcription


Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective


Invariant Causal Imitation Learning for Generalizable Policies


Invariant Collaborative Filtering to Popularity Distribution Shift


Invariant Feature Learning for Generalized Long-Tailed Classification


Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization


Invariant Grounding for Video Question Answering


Invariant Image Reparameterisation: A Unified Approach to Structural and Practical Identifiability and Model Reduction


Invariant Kernels: Rank Stabilization and Generalization Across Dimensions


Invariant Learning via Probability of Sufficient and Necessary Causes


Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem


Invariant Models for Causal Transfer Learning


Invariant Policy Learning: A Causal Perspective


Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning


Invariant Representation Learning for Infant Pose Estimation with Small Data


Invariant Representations of Embedded Simplicial Complexes


Invariant Representations via Wasserstein Correlation Maximization


Invariant Risk Minimization Is A Total Variation Model


Invariant Shape Representation Learning For Image Classification


Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames


Invariant Synchrony and Anti-Synchrony Subspaces of Weighted Networks


Invariant and Transportable Representations for Anti-Causal Domain Shifts


Invariant debiasing learning for recommendation via biased imputation


Invariant manifolds and the parameterization method in coupled energy harvesting piezoelectric oscillators


Invariant polynomials and machine learning


Invariant preservation in machine learned PDE solvers via error correction


Invariant spectral foliations with applications to model order reduction and synthesis


InvariantStock: Learning Invariant Features for Mastering the Shifting Market


Inventing art styles with no artistic training data


Inverse Attention Agents for Multi-Agent Systems


Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task


Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis


Inverse Compositional Spatial Transformer Networks


Inverse Constitutional AI: Compressing Preferences into Principles


Inverse Constrained Reinforcement Learning


Inverse Design of 3D Nanophotonic Devices with Structural Integrity Using Auxiliary Thermal Solvers


Inverse Design of Copolymers Including Stoichiometry and Chain Architecture


Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language Processing


Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model


Inverse Design of Nonlinear Mechanics of Bio-inspired Materials Through Interface Engineering and Bayesian Optimization


Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach


Inverse Design of Snap-Actuated Jumping Robots Powered by Mechanics-Aided Machine Learning


Inverse Design with Dynamic Mode Decomposition


Inverse Dynamics Control of Compliant Hybrid Zero Dynamic Walking


Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks


Inverse Gaussian quadrature and finite normal-mixture approximation of the generalized hyperbolic distribution


Inverse Hamiltonian design by automatic differentiation


Inverse Image Frequency for Long-tailed Image Recognition


Inverse Ising inference by combining Ornstein-Zernike theory with deep learning


Inverse Ising problem in continuous time: A latent variable approach


Inverse Kinematics for Serial Kinematic Chains via Sum of Squares Optimization


Inverse Kinematics on Guiding Vector Fields for Robot Path Following


Inverse Learning with Extremely Sparse Feedback for Recommendation


Inverse Materials Design by Large Language Model-Assisted Generative Framework


Inverse Mechano-Electrical Reconstruction of Cardiac Excitation Wave Patterns from Mechanical Deformation using Deep Learning


Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks


Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes


Inverse MultiView II: Microarcsecond Trigonometric Parallaxes for Southern Hemisphere 6.7~GHz Methanol Masers G232.62+00.99 and G323.74$-$00.26


Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies


Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System


Inverse Optimal Planning for Air Traffic Control


Inverse Optimization for Routing Problems


Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records


Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized Solutions


Inverse Problems Leveraging Pre-trained Contrastive Representations


Inverse Problems with Diffusion Models: A MAP Estimation Perspective


Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs


Inverse Reinforcement Learning by Estimating Expertise of Demonstrators


Inverse Reinforcement Learning via Convex Optimization


Inverse Reinforcement Learning without Reinforcement Learning


Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image


Inverse Rendering of Translucent Objects using Physical and Neural Renderers


Inverse Source Problem for Acoustically-Modulated Electromagnetic Waves


Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals


Inverse decision-making using neural amortized Bayesian actors


Inverse deep learning methods and benchmarks for artificial electromagnetic material design


Inverse design and additive manufacturing of shape-morphing structures based on functionally graded composites


Inverse design of 3d molecular structures with conditional generative neural networks


Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments


Inverse design of dielectric metasurface by spatial coupled mode theory


Inverse design of glass structure with deep graph neural networks


Inverse design of lightweight broadband reflector for efficient lightsail propulsion


Inverse design of photonic crystals through automatic differentiation


Inverse design of photonic devices with strict foundry fabrication constraints


Inverse designing surface curvatures by deep learning


Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging


Inverse iteration quantum eigensolvers assisted with a continuous variable


Inverse model for network construction: (δ(G), I' (G)) -> G


Inverse of large class of permutation polynomials of finite fields


Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation


Inverse problem for Einstein-scalar field equations


Inverse problem for the Yang-Mills equations


Inverse problem regularization with hierarchical variational autoencoders


Inverse problem solver for multiple light scattering using modified Born series


Inverse problems for symmetric doubly stochastic matrices whose Sule\u{i}manova spectra are bounded below by 1/2


Inverse receptive field attention for naturalistic image reconstruction from the brain


Inverse regression for ridge recovery: A data-driven approach for parameter reduction in computer experiments


Inverse reinforcement learning for video games


Inverse set estimation and inversion of simultaneous confidence intervals


Inverse-design of high-dimensional quantum optical circuits in a complex medium


Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models


InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct


InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer


InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction


InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model


Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification


Inversion of Stokes Profiles with Systematic Effects


Inversion of the chemical environment representations


Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training


InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization


InversionView: A General-Purpose Method for Reading Information from Neural Activations


InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars


Inverted Activations: Reducing Memory Footprint in Neural Network Training


Inverted EEMD: a robust method to identify narrow absorption features form spectral data and cubes


Invertibility Conditions for the Admittance Matrices of Balanced Power Systems


Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors


Invertible Convolution with Symmetric Paddings


Invertible DNN-based nonlinear time-frequency transform for speech enhancement


Invertible Denoising Network: A Light Solution for Real Noise Removal


Invertible Diffusion Models for Compressed Sensing


Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems


Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax


Invertible Generative Modeling using Linear Rational Splines


Invertible Kernel PCA with Random Fourier Features


Invertible Manifold Learning for Dimension Reduction


Invertible Monotone Operators for Normalizing Flows


Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography


Invertible Neural BRDF for Object Inverse Rendering


Invertible Neural Networks for Graph Prediction


Invertible bimodule categories and generalized Schur orthogonality


Invertible generative models for inverse problems: mitigating representation error and dataset bias


Inverting Adversarially Robust Networks for Image Synthesis


Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space


Inverting Cryptographic Hash Functions via Cube-and-Conquer


Inverting Deep Generative models, One layer at a time


Inverting The Generator Of A Generative Adversarial Network (II)


Inverting and Understanding Object Detectors


InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior


InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma


InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning


Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud


Investigating 16 Open Clusters in the Kepler/K2-Gaia DR3 field. I. Membership, Binary, and Rotation


Investigating 3D Atomic Environments for Enhanced QSAR


Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering


Investigating Affective Use and Emotional Well-being on ChatGPT


Investigating African-American Vernacular English in Transformer-Based Text Generation


Investigating Attention Mechanism in 3D Point Cloud Object Detection


Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics


Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques


Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer


Investigating Conversational Search Behavior For Domain Exploration


Investigating Critical Period Effects in Language Acquisition through Neural Language Models


Investigating Cultural Alignment of Large Language Models


Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies


Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing


Investigating Deep Learning Model Calibration for Classification Problems in Mechanics


Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning


Investigating Disagreement in the Scientific Literature


Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition


Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking


Investigating Execution-Aware Language Models for Code Optimization


Investigating Gender Bias in Turkish Language Models


Investigating Generalization by Controlling Normalized Margin


Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations


Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition


Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization


Investigating Human Values in Online Communities


Investigating Idiomaticity in Word Representations


Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis


Investigating Instruction Tuning Large Language Models on Graphs


Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling


Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups


Investigating Late-Time Dark Energy and Massive Neutrinos in Light of DESI Y1 BAO


Investigating Math Word Problems using Pretrained Multilingual Language Models


Investigating Membership Inference Attacks under Data Dependencies


Investigating Memorization of Conspiracy Theories in Text Generation


Investigating Methods for Weighted Reservoir Sampling with Replacement


Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models


Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models


Investigating Multi-source Active Learning for Natural Language Inference


Investigating Multilingual Coreference Resolution by Universal Annotations


Investigating Neural Architectures by Synthetic Dataset Design


Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study


Investigating Neuron Ablation in Attention Heads: The Case for Peak Activation Centering


Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization


Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model


Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents


Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activity


Investigating Personalization Methods in Text to Music Generation


Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction


Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning


Investigating Pre-trained Audio Encoders in the Low-Resource Condition


Investigating Pretrained Language Models for Graph-to-Text Generation


Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack


Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols


Investigating Reasons for Disagreement in Natural Language Inference


Investigating Recurrent Transformers with Dynamic Halt


Investigating Relational State Abstraction in Collaborative MARL


Investigating Robot Dogs for Construction Monitoring: A Comparative Analysis of Specifications and On-site Requirements


Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications


Investigating Robustness of Dialog Models to Popular Figurative Language Constructs


Investigating Rumor News Using Agreement-Aware Search


Investigating Saturation Effects in Integrated Gradients


Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation


Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image Segmentation


Investigating Similarities Across Decentralized Financial (DeFi) Services


Investigating Societal Biases in a Poetry Composition System


Investigating Sparsity in Recurrent Neural Networks


Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts


Investigating Steady Unconfined Groundwater Flow using Physics Informed Neural Networks


Investigating Strategies for Clause Recommendation


Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models


Investigating Task Arithmetic for Zero-Shot Information Retrieval


Investigating Text Shortening Strategy in BERT: Truncation vs Summarization


Investigating Text Simplification Evaluation


Investigating Tradeoffs in Real-World Video Super-Resolution


Investigating Transferability in Pretrained Language Models


Investigating Turbulence Effects on Magnetic Reconnection Rates Through Three-Dimensional Resistive Magnetohydrodynamical Simulations


Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network


Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation


Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion


Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection


Investigating White-Box Attacks for On-Device Models


Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts


Investigating Zero- and Few-shot Generalization in Fact Verification


Investigating an Effective Character-level Embedding in Korean Sentence Classification


Investigating and Explaining the Frequency Bias in Image Classification


Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents


Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)


Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models


Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models


Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios


Investigating and Modeling the Dynamics of Long Ties


Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training


Investigating co-occurrences of MITRE ATT\&CK Techniques


Investigating finite-size effects in random matrices by counting resonances


Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis


Investigating how ReLU-networks encode symmetries


Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h$^{-1}$


Investigating label suggestions for opinion mining in German Covid-19 social media


Investigating representation schemes for surrogate modeling of High Entropy Alloys


Investigating representations of verb bias in neural language models


Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing


Investigating structural and functional aspects of the brain's criticality in stroke


Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome


Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion


Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems


Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals


Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes


Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions


Investigating the Design Space of Diffusion Models for Speech Enhancement


Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting


Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI


Investigating the Effect of Network Pruning on Performance and Interpretability


Investigating the Effectiveness of Bayesian Spam Filters in Detecting LLM-modified Spam Mails


Investigating the Effectiveness of HyperTuning via Gisting


Investigating the Effects of Sparse Attention on Cross-Encoders


Investigating the Efficacy of Large Language Models for Code Clone Detection


Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation


Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics


Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks


Investigating the Histogram Loss in Regression


Investigating the Impact of 9/11 on The Simpsons through Natural Language Processing


Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective


Investigating the Impact of Data Selection Strategies on Language Model Performance


Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems


Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance


Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa


Investigating the Impact of Model Instability on Explanations and Uncertainty


Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving


Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models


Investigating the Indirect Object Identification circuit in Mamba


Investigating the Interplay between Features and Structures in Graph Learning


Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning


Investigating the Limitations of Transformers with Simple Arithmetic Tasks


Investigating the Magnetic Field outside small Accelerator Magnet Analogs via Experiment, Simulation, and Theory


Investigating the Nature of 3D Generalization in Deep Neural Networks


Investigating the Origins of Fractality Based on Two Novel Fractal Network Models


Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study


Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning


Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets


Investigating the Recoverable Robust Single Machine Scheduling Problem Under Interval Uncertainty


Investigating the Redshift Evolution of Lensing Galaxy Density Slopes via Model-Independent Distance Ratios


Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation


Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study


Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study


Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks


Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm


Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning


Investigating the Trade-off between Infections and Social Interactions Using a Compact Model of Endemic Infections on Networks


Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM


Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters


Investigating the Zone of Proximal Development of Language Models for In-Context Learning


Investigating the causal effects of multiple treatments using longitudinal data: a simulation study


Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision


Investigating the concentration of High Yield Investment Programs in the United Kingdom


Investigating the contribution of author- and publication-specific features to scholars' h-index prediction


Investigating the contribution of terrain-following coordinates and conservation schemes in AI-driven precipitation forecasts


Investigating the effect of binning on causal discovery


Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices


Investigating the efficiency of marginalising over discrete parameters in Bayesian computations


Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience


Investigating the fluxes and physics potential of LHC neutrino experiments


Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems


Investigating the price determinants of the European Emission Trading System: a non-parametric approach


Investigating the relation between chaos and the three body problem


Investigating the role of nuclear parameters on oscillation modes in hot Neutron Stars


Investigating the translation capabilities of Large Language Models trained on parallel data only


Investigation into the role of the Bessel function order in the Fourier-Bessel series and the Hankel Transform


Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation


Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity


Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition


Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction


Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts


Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning


Investigation of chemical structure recognition by encoder-decoder models in learning progress


Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language


Investigation of perceptual music similarity focusing on each instrumental part


Investigation of pressure balance in proximity of sidewalls in deterministic lateral displacement


Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey


Investigation of the Impact of Economic and Social Factors on Energy Demand through Natural Language Processing


Investigation of the correlation patterns and the Compton dominance variability of Mrk 421 in 2017


Investigations of MWISP Filaments. I. Filament Identification and Analysis Algorithms, and Source Catalogue


InviCloak: An End-to-End Approach to Privacy and Performance in Web Content Distribution


InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance


InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee


Invisible Backdoor Attack with Sample-Specific Triggers


Invisible Backdoor Attacks on Diffusion Models


Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking


Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking


Invisible Gas Detection: An RGB-Thermal Cross Attention Network and A New Benchmark


Invisible Image Watermarks Are Provably Removable Using Generative AI


Invisible Labor in Open Source Software Ecosystems


Invisible Marker: Automatic Annotation of Segmentation Masks for Object Manipulation


Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images


Invisible Watermarks: Attacks and Robustness


Invitation to Alexandrov geometry: CAT[0] spaces


Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering


IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective


IoT Data Trust Evaluation via Machine Learning


IoT Droplocks: Wireless Fingerprint Theft Using Hacked Smart Locks


IoT-AD: A Framework To Detect Anomalies Among Interconnected IoT Devices


IoTSan: Fortifying the Safety of IoT Systems


IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking


IoU-Enhanced Attention for End-to-End Task Specific Object Detection


IoU-aware Single-stage Object Detector for Accurate Localization


IoU-uniform R-CNN: Breaking Through the Limitations of RPN


Ion Acceleration at Magnetotail Plasma Jets


Ion counting and temperature determination of Coulomb-crystallized laser-cooled ions in traps using convolutional neural networks


Ion solvation in atomic baths: from snowballs to polarons


Ion-Trap Chip Architecture Optimized for Implementation of Quantum Error-Correcting Code


Ionised gas kinematics and dynamical masses of $z\gtrsim6$ galaxies from JADES/NIRSpec high-resolution spectroscopy


Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation


Ionospheric activity prediction using convolutional recurrent neural networks


IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation


IrEne: Interpretable Energy Prediction for Transformers


Iranis: A Large-scale Dataset of Farsi License Plate Characters


Iris Presentation Attack Detection Based on Photometric Stereo Features


Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer


Iris-SAM: Iris Segmentation Using a Foundation Model


Iris: A Next Generation Digital Pathology Rendering Engine


Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control


Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training


IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty


IronForge: An Open, Secure, Fair, Decentralized Federated Learning


Irony Detection in a Multilingual Context


IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping


Irregular Bloch Zener oscillations in two-dimensional flat-band Dirac materials


Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation


Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network


Irregular grids for 3D NLTE radiative transfer in stellar atmospheres


Irreversibility in Bacterial Regulatory Networks


Irreversibility in dynamical phases and transitions


Irvsp: to obtain irreducible representations of electronic states in the VASP


Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases


Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?


Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models


Is AUC the best measure for practical comparison of anomaly detectors?


Is Adversarial Training with Compressed Datasets Effective?


Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?


Is Appearance Free Action Recognition Possible?


Is Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention


Is Attention Better Than Matrix Decomposition?


Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks


Is Audio Spoof Detection Robust to Laundering Attacks?


Is Autoencoder Truly Applicable for 3D CT Super-Resolution?


Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding


Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?


Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?


Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers


Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning


Is CLIP the main roadblock for fine-grained open-world perception?


Is Cambodia the World's Largest Cashew Producer?


Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?


Is Channel Estimation Necessary to Select Phase-Shifts for RIS-Assisted Massive MIMO?


Is ChatGPT A Good Keyphrase Generator? A Preliminary Study


Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine


Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation


Is ChatGPT a Biomedical Expert? -- Exploring the Zero-Shot Performance of Current GPT Models in Biomedical Tasks


Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation


Is ChatGPT a Good Multi-Party Conversation Solver?


Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study


Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction


Is ChatGPT a game changer for geocoding -- a benchmark for geocoding address parsing techniques


Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning


Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation


Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant


Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?


Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems


Is Deep Learning a Renormalization Group Flow?


Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field


Is Deeper Better only when Shallow is Good?


Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs


Is Discretization Fusion All You Need for Collaborative Perception?


Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches


Is Disentanglement enough? On Latent Representations for Controllable Music Generation


Is Distance Matrix Enough for Geometric Deep Learning?


Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?


Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?


Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition


Is Everything in Order? A Simple Way to Order Sentences


Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning


Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection


Is Flat Fielding Safe for Precision CCD Astronomy?


Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes


Is Geometry Enough for Matching in Visual Localization?


Is Hyper-Parameter Optimization Different for Software Analytics?


Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training


Is Importance Weighting Incompatible with Interpolating Classifiers?


Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective


Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models


Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?


Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?


Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages


Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation


Is It a Plausible Colour? UCapsNet for Image Colourisation


Is JPEG AI going to change image forensics?


Is Knowledge All Large Language Models Needed for Causal Reasoning?


Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement


Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment


Is Less More? Exploring Token Condensation as Training-free Adaptation for CLIP


Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Models


Is Less Really More? Fake News Detection with Limited Information


Is Limited Participant Diversity Impeding EEG-based Machine Learning?


Is Machine Learning in Power Systems Vulnerable?


Is Mamba Capable of In-Context Learning?


Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?


Is Mamba Effective for Time Series Forecasting?


Is Mapping Necessary for Realistic PointGoal Navigation?


Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation


Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning


Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability


Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator


Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning


Is Multilingual BERT Fluent in Language Generation?


Is Multimodal Vision Supervision Beneficial to Language?


Is Network the Bottleneck of Distributed Training?


Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics


Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review


Is Non-IID Data a Threat in Federated Online Learning to Rank?


Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?


Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models


Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?


Is Parameter Collision Hindering Continual Learning in LLMs?


Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari


Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding


Is Pseudo-Lidar needed for Monocular 3D Object detection?


Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization


Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images


Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering


Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models


Is Score Matching Suitable for Estimating Point Processes?


Is Self-Repair a Silver Bullet for Code Generation?


Is Simple Uniform Sampling Effective for Center-Based Clustering with Outliers: When and Why?


Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers


Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond


Is Spectral Width a Reliable Measure of GRB Emission Physics?


Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination


Is Style All You Need? Dependencies Between Emotion and GST-based Speaker Recognition


Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?


Is Temperature the Creativity Parameter of Large Language Models?


Is Texture Predictive for Age and Sex in Brain MRI?


Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering


Is The Watermarking Of LLM-Generated Code Robust?


Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases


Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching


Is Training Data Quality or Quantity More Impactful to Small Language Model Performance?


Is Underwater Image Enhancement All Object Detectors Need?


Is VARS more intuitive and efficient than Sobol' indices?


Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?


Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi


Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage


Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World


Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation


Is Your Kettle Smarter Than a Hacker? A Scalable Tool for Assessing Replay Attack Vulnerabilities on Consumer IoT Devices


Is Your LLM Outdated? Evaluating LLMs at Temporal Generalization


Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives


Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents


Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective


Is Your LiDAR Placement Optimized for 3D Scene Understanding?


Is Your Load Generator Launching Web Requests in Bunches?


Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs


Is Your Wallet Snitching On You? An Analysis on the Privacy Implications of Web3


Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning


Is a Peeled Apple Still Red? Evaluating LLMs' Ability for Conceptual Combination with Property Type


Is a Question Decomposition Unit All We Need?


Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts


Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search


Is absolute separability determined by the partial transpose?


Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability


Is checking for sequential positivity violations getting you down? Try sPoRT!


Is genuine nonlocality in the triangle network exclusive to pure states?


Is it Fake? News Disinformation Detection on South African News Websites


Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks


Is it a click bait? Let's predict using Machine Learning


Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series


Is machine learning good or bad for the natural sciences?


Is my automatic audio captioning system so bad? spider-max: a metric to consider several caption candidates


Is neural language acquisition similar to natural? A chronological probing study


Is perturbation an effective restart strategy?


Is poisoning a real threat to LLM alignment? Maybe more so than you think


Is preprocessing of text really worth your time for online comment classification?


Is prioritized sweeping the better episodic control?


Is spatial information in ICT data reliable?


Is synthetic data from generative models ready for image recognition?


Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System


Is the Local Ion Density Sufficient to Drive NaCl Nucleation from the Melt and Aqueous Solution?


Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization


Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs


Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure


Is the U-Net Directional-Relationship Aware?


Is the Web ready for HTTP/2 Server Push?


Is the age pension in Australia sustainable and fair? Evidence from forecasting the old-age dependency ratio using the Hamilton-Perry model


Is the brain macroscopically linear? A system identification of resting state dynamics


Is the difference between deep hedging and delta hedging a statistical arbitrage?


Is the group structure important in grouped functional time series?


Is there a cap on longevity? A statistical review


Is there a semi-molten layer at the base of the lunar mantle?


Is there anything left? Measuring semantic residuals of objects removed from 3D Gaussian Splatting


Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness


Is this model reliable for everyone? Testing for strong calibration


Is this sentence valid? An Arabic Dataset for Commonsense Validation


Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data


Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data


Is your noise correction noisy? PLS: Robustness to label noise with two stage detection


Isadora: Automated Information Flow Property Generation for Hardware Designs


IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict


Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization


Islands with Gravitating Baths: Towards ER = EPR


Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models


IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization


IsoPredict: Dynamic Predictive Analysis for Detecting Unserializable Behaviors in Weakly Isolated Data Store Applications


IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces


Isobaric Multiplet Mass Equation for $A \le 71$ Revisited


Isochronous and period-doubling diagrams for symplectic maps of the plane


Isogeny Classes of Abelian Varieties over Finite Fields in the LMFDB


Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method


IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems


Isolated Causal Effects of Natural Language


Isolated Sign Language Recognition based on Tree Structure Skeleton Images


Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models


Isolating Functions at the Hardware Limit with Virtines


Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data


Isolating non-linearities of light propagation in inhomogeneous cosmologies


Isolating phyllotactic patterns embedded in the secondary growth of sweet cherry (Prunus avium L.) using magnetic resonance imaging


Isolation Mondrian Forest for Batch and Online Anomaly Detection


Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference


Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks


Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation


Isomeric trees and the order of Runge--Kutta methods


Isometric Representation Learning for Disentangled Latent Space of Diffusion Models


Isometric Transformation Invariant and Equivariant Graph Convolutional Networks


Isometric Transformations for Image Augmentation in Mueller Matrix Polarimetry


Isomorph Invariant Dynamic Mechanical Analysis: A Molecular Dynamics Study


Isomorphism Theorems for Impartial Combinatorial Games


Isospin Equilibration in Neutron Star Mergers


Isotropic Correlation Models for the Cross-Section of Equity Returns


Isotropic Representation Can Improve Dense Retrieval


Isotropic and Steerable Wavelets in N Dimensions. A multiresolution analysis framework for ITK


Isotropic randomization for one-sample testing in metric spaces


Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding


Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search


IsraParlTweet: The Israeli Parliamentary and Twitter Resource


Issues arising from benchmarking single-cell RNA sequencing imputation methods


Issues with Neural Tangent Kernel Approach to Neural Networks


Issues with Positivity-Preserving Patankar-type Schemes


It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models


It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation


It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic


It Is Time To Steer: A Scalable Framework for Analysis-driven Attack Graph Generation


It Takes (Only) Two: Adversarial Generator-Encoder Networks


It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers


It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games


It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports


It Takes Two to Tango: Mixup for Deep Metric Learning


It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF


It begins with a boundary: A geometric view on probabilistically robust learning


It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books


It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation


It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data


It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance


It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots


It might be balanced, but is it actually good? An Empirical Evaluation of Game Level Balancing


It's About Time: Temporal References in Emergent Communication


It's All About Your Sketch: Democratising Sketch Control in Diffusion Models


It's All in the Embedding! Fake News Detection Using Document Embeddings


It's All in the Head: Representation Knowledge Distillation through Classifier Sharing


It's DONE: Direct ONE-shot learning with quantile weight imprinting


It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information


It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation


It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers


It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment


It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations


It's Not Easy Being Green: On the Energy Efficiency of Programming Languages


It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning


It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation


It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations


It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data


It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits


It's not Rocket Science : Interpreting Figurative Language in Narratives


It's not a Non-Issue: Negation as a Source of Error in Machine Translation


ItLnc-BXE: a Bagging-XGBoost-ensemble method with multiple features for identification of plant lncRNAs


IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis


Item Graph Convolution Collaborative Filtering for Inductive Recommendations


Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering


Item-based Variational Auto-encoder for Fair Music Recommendation


Item-side Fairness of Large Language Model-based Recommendation System


IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance


IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation


IterGANs: Iterative GANs to Learn and Control 3D Object Transformation


IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking


IterInv: Iterative Inversion for Pixel-Level T2I Models


IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo


IterMiUnet: A lightweight architecture for automatic blood vessel segmentation


IterVM: Iterative Vision Modeling Module for Scene Text Recognition


Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes


Iterated Denoising Energy Matching for Sampling from Boltzmann Densities


Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems


Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming


Iterated and exponentially weighted moving principal component analysis


Iterated filtering methods for Markov process epidemic models


Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates


Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems


Iterative Bregman Projections for Regularized Transportation Problems


Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion


Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation


Iterative Convex Optimization for Model Predictive Control with Discrete-Time High-Order Control Barrier Functions


Iterative Counterfactual Data Augmentation


Iterative Deep Learning for Road Topology Extraction


Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data


Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration


Iterative Distributed Multinomial Regression


Iterative Document Representation Learning Towards Summarization with Polishing


Iterative Edit-Based Unsupervised Sentence Simplification


Iterative Error Decimation for Syndrome-Based Neural Network Decoders


Iterative Event-based Motion Segmentation by Variational Contrast Maximization


Iterative Facial Image Inpainting Based on an Encoder-Generator Architecture


Iterative Feature Boosting for Explainable Speech Emotion Recognition


Iterative Feature Exclusion Ranking for Deep Tabular Learning


Iterative Feedback Network for Unsupervised Point Cloud Registration


Iterative Few-shot Semantic Segmentation from Image Label Text


Iterative Filter Adaptive Network for Single Image Defocus Deblurring


Iterative Filter Pruning for Concatenation-based CNN Architectures


Iterative Forward Tuning Boosts In-Context Learning in Language Models


Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration


Iterative Graph Filtering Network for 3D Human Pose Estimation


Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views


Iterative Hessian Sketch in Input Sparsity Time


Iterative Human and Automated Identification of Wildlife Images


Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision


Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI


Iterative Learning with Open-set Noisy Labels


Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation


Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval


Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data


Iterative Methods for Navier--Stokes Inverse Problems


Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models


Iterative Methods via Locally Evolving Set Process


Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification


Iterative Network for Image Super-Resolution


Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal


Iterative Patch Selection for High-Resolution Image Recognition


Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points


Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning


Iterative Pseudo-Labeling for Speech Recognition


Iterative Qubit Coupled Cluster using only Clifford circuits


Iterative Reconstruction Methods for Cosmological X-Ray Tomography


Iterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging


Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation


Iterative Refinement of the Approximate Posterior for Directed Belief Networks


Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery


Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation


Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach


Iterative Retraining of Quantum Spin Models Using Recurrent Neural Networks


Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification


Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision


Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports


Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers


Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities


Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation


Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning


Iterative Superquadric Recomposition of 3D Objects from Multiple Views


Iterative Teaching by Data Hallucination


Iterative Token Evaluation and Refinement for Real-World Super-Resolution


Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization


Iterative Transformer Network for 3D Point Cloud


Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis


Iterative beam search algorithms for the permutation flowshop


Iterative construction of the optimal sunspot number series


Iterative embedding and reweighting of complex networks reveals community structure


Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis


Iterative initial condition reconstruction


Iterative phase retrieval algorithm for space-variant PSF in optical systems with aberrations


Iterative structural coarse-graining for contagion dynamics in complex networks


IterativePFN: True Iterative Point Cloud Filtering


Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations


Iteratively Prompt Pre-trained Language Models for Chain of Thought


Iteratively Reweighte Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients


Iteratively Reweighted $\ell_1$-Penalized Robust Regression


Iteratively Reweighted Least Squares for Phase Unwrapping


Iteratively Trained Interactive Segmentation


Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection


Ivy: Templated Deep Learning for Inter-Framework Portability


IvyGPT: InteractiVe Chinese pathwaY language model in medical domain


IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks


Iwasawa Theory for $p$-torsion Class Group Schemes in Characteristic $p$


Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati


J plots: a new method for characterizing structures in the interstellar medium


J$\hat{\text{A}}$A-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention


J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain


J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News


J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction


J-Net: Randomly weighted U-Net for audio source separation


J-PAS and PFS surveys in the era of dark energy and neutrino mass measurements


J-PET Framework: Software platform for PET tomography data reconstruction and analysis


J-PLUS DR3: Galaxy-Star-Quasar classification


J-PLUS: Bayesian object classification with a strum of BANNJOS


J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema


J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges


J2N -- Nominal Adjective Identification and its Application


JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection


JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models


JADES: Primaeval Lyman-$\mathrmα$ emitting galaxies reveal early sites of reionisation out to redshift $z \sim 9$


JAFAR: Jack up Any Feature at Any Resolution


JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software


JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models


JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models


JAMMIN-GPT: Text-based Improvisation using LLMs in Ableton Live


JAMPI: efficient matrix multiplication in Spark using Barrier Execution Mode


JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models


JANUS: A Difference-Oriented Analyzer For Financial Centralization Risks in Smart Contracts


JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design


JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM


JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning


JAWS: Auditing Predictive Uncertainty Under Covariate Shift


JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields


JAX FDM: A differentiable solver for inverse form-finding


JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities


JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science


JAX-LaB: A High-Performance, Differentiable, Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering


JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU


JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting


JBMC: A Bounded Model Checking Tool for Java Bytecode


JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation


JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation


JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications


JCoLA: Japanese Corpus of Linguistic Acceptability


JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients


JDLL: A library to run Deep Learning models on Java bioimage informatics platforms


JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention


JDocQA: Japanese Document Question Answering Dataset for Generative Language Models


JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions


JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions


JEDI-net: a jet identification algorithm based on interaction networks


JEM++: Improved Techniques for Training JEM


JEMMA: An Extensible Java Dataset for ML4Code Applications


JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech


JETracer - A Framework for Java GUI Event Tracing


JEWEL on a (2+1)D background with applications to small systems and substructure