"A good pun is its own reword": Can Large Language Models Understand Puns?


"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data


"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding


"All of Me": Mining Users' Attributes from their Public Spotify Playlists


"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations


"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models


"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization


"Back to the future" projections for COVID-19 surges


"Birds in the Clouds": Adventures in Data Engineering


"Bring Your Own Greedy"+Max: Near-Optimal $1/2$-Approximations for Submodular Knapsack


"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples


"Check My Work?": Measuring Sycophancy in a Simulated Educational Context


"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds


"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition


"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models


"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages


"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations


"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues


"FISTA" in Banach spaces with adaptive discretisations


"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models


"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?


"Get ready for a party": Exploring smarter smart spaces with help from large language models


"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations


"How do people decide?": A Model for Software Library Selection


"I Never Said That": A dataset, taxonomy and baselines on response clarity classification


"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter


"I just hated it and I want my money back": Data-driven Understanding of Mobile VPN Service Switching Preferences in The Wild


"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models


"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset


"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution


"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving


"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding


"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters


"Knees" in lithium-ion battery aging trajectories


"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation


"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently


"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?


"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs


"Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity


"More Than Words": Linking Music Preferences and Moral Values Through Lyrics


"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models


"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors


"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents


"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics


"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses


"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning


"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images


"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomy


"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly


"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak


"Old Techniques for New Times": the RMaCzek package for producing Czekanowski's Diagrams


"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process


"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training


"Principal Components" Enable A New Language of Images


"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter


"Shaking in 5 seconds!" A Voluntary Smartphone-based Earthquake Early Warning System


"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning


"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks


"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition


"The Law Doesn't Work Like a Computer": Exploring Software Licensing Issues Faced by Legal Practitioners


"The Michael Jordan of Greatness": Extracting Vossian Antonomasia from Two Decades of the New York Times, 1987-2007


"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings


"Way back then": A Data-driven View of 25+ years of Web Evolution


"We Demand Justice!": Towards Social Context Grounding of Political Texts


"What can I cook with these ingredients?" -- Understanding cooking-related information needs in conversational search


"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge


"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation


"What if?" in Probabilistic Logic Programming


"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence


"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences


"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets


"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction


"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts


"Why did you do that?": Explaining black box models with Inductive Synthesis


"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks


"Y'all are just too sensitive": A computational ethics approach to understanding how prejudice against marginalized communities becomes epistemic belief


"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning


"You are grounded!": Latent Name Artifacts in Pre-trained Language Models


"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets


"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter


"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text


#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection


#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate


#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election


#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models


#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment


#Secim2023: First Public Dataset for Studying Turkish General Election


$ \mathrm{SE} (3) $ Synchronization by Eigenvectors of Dual Quaternion Matrices


$ \text{T}^3 $OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area


$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets


$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees


$1/f$ noise from the sequence of nonoverlapping rectangular pulses


$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources


$2$-Fault-Tolerant Strong Connectivity Oracles


$3$-setwise intersecting families of the symmetric group


$Ab$ $initio$ derivation and exact-diagonalization analysis of low-energy effective Hamiltonians for $β^\prime$-X[Pd(dmit)$_2$]$_2$


$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation


$C^2M^3$: Cycle-Consistent Multi-Model Merging


$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models


$DPF^*$: improved Depth Potential Function for scale-invariant sulcal depth estimation


$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm


$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI


$FastDoc$: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy


$H$-RANSAC, an algorithmic variant for Homography image transform from featureless point sets: application to video-based football analytics


$H^1$-Stability of the $L^2$-Projection onto Finite Element Spaces on Adaptively Refined Quadrilateral Meshes


$H^3$Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs


$H_0$ Tension, Phantom Dark Energy and Cosmological Parameter Degeneracies


$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee


$IRIS^{2+}$: A comprehensive database of stratified thermodynamic models in the low solar atmosphere


$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting


$J$-factors for Velocity-dependent Dark Matter


$J_{E_T}^{\rm II}$: A Two-prong Jet Finding Algorithm


$K$-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control


$K$-sample omnibus non-proportional hazards tests based on right-censored data


$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting


$L^2$-Betti numbers and computability of reals


$L^γ$-PageRank for Semi-Supervised Learning


$L_0$-ARM: Network Sparsification via Stochastic Binary Optimization


$N$-gram Is Back: Residual Learning of Neural Text Generation with $n$-gram Language Model


$N_{\rm eff}$ constraints on light mediators coupled to neutrinos: the dilution-resistant effect


$OntoMath^{PRO}$ Ontology: A Linked Data Hub for Mathematics


$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction


$Profiler$ - A Fast and Versatile New Program for Decomposing Galaxy Light Profiles


$Q$-functions, synchronization, and Arnold tongues for coupled stochastic oscillators


$R$-dependence of jet observables with JEWEL+v-USPhydro


$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning


$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL


$S^2$NeRF: Privacy-preserving Training Framework for NeRF


$T_{cc}^+$ decays: Differential spectra and two-body final states


$TrIND$: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields


$W$-Boson Exotic Decay into Three Charged Leptons at the LHC


$X+y$: insights on gas thermodynamics from the combination of X-ray and thermal Sunyaev-Zel'dovich data cross-correlated with cosmic shear


$\ell_1$ Adaptive Trend Filter via Fast Coordinate Descent


$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes


$\ell_{\infty}$-Bounds of the MLE in the BTL Model under General Comparison Graphs


$\forall$uto$\exists$val: Autonomous Assessment of LLMs in Formal Synthesis and Interpretation Tasks


$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States


$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation


$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens


$\mathbb{F}_q$-zeros of sparse trivariate polynomials and toric 3-fold codes


$\mathbb{Q}$-curves and the Lebesgue-Nagell equation


$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks


$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features


$\mathcal{L}_2$-optimal Reduced-order Modeling Using Parameter-separable Forms


$\mathcal{N}$IPM-HLSP: An Efficient Interior-Point Method for Hierarchical Least-Squares Programs


$\mathit{Chempy}$: A flexible chemical evolution model for abundance fitting - Do the Sun's abundances alone constrain chemical evolution models?


$\mathrm{morphofit}$: An automated galaxy structural parameters fitting package


$\mathsf{G^2Retro}$ as a Two-Step Graph Generative Models for Retrosynthesis Prediction


$\mathsf{QuITO}$ $\textsf{v.2}$: Trajectory Optimization with Uniform Error Guarantees under Path Constraints


$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records


$\mathtt{bimEX}$: A Mathematica package for exact computations in 3$+$1 bimetric relativity


$\mathtt{emuflow}$: Normalising Flows for Joint Cosmological Analysis


$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials


$\partial\mathbb{B}$ nets: learning discrete functions by gradient descent


$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks


$\rm SP^3$: Enhancing Structured Pruning via PCA Projection


$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting


$\textit{Clingraph}$: A System for ASP-based Visualization


$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models


$\textit{MMJ-Bench}$: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models


$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models


$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models


$\textit{Swap and Predict}$ -- Predicting the Semantic Changes in Words across Corpora by Context Swapping


$\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving


$\textrm{ODE}_t \left(\textrm{ODE}_l \right)$: Shortcutting the Time and Length in Diffusion and Flow Models for Faster Sampling


$\textsf{Xsec}$: the cross-section evaluation code


$\texttt{21cmLSTM}$: A Fast Memory-based Emulator of the Global 21 cm Signal with Unprecedented Accuracy


$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time


$\texttt{AlgRel.wl}$: Algebraic Relations for the Product of Propagators in Feynman integrals


$\texttt{DINO-Foresight}$: Looking into the Future with DINO


$\texttt{Davos}$: a Python "smuggler" for constructing lightweight reproducible notebooks


$\texttt{GRASS}$: Distinguishing Planet-induced Doppler Signatures from Granulation with a Synthetic Spectra Generator


$\texttt{LIMpy}$: A Semi-analytic Approach to Simulating Multi-line Intensity Maps at Millimetre Wavelengths


$\texttt{LLINBO}$: Trustworthy LLM-in-the-Loop Bayesian Optimization


$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees


$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity


$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts


$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities


$\texttt{MultiHypExp}$: A Mathematica Package For Expanding Multivariate Hypergeometric Functions In Terms Of Multiple Polylogarithms


$\texttt{NePhi}$: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration


$\texttt{Pyresias}$: How To Write a Toy Parton Shower


$\texttt{RGESolver}$ : a $\texttt{C++}$ library to perform Renormalization Group evolution in the Standard Model Effective Theory


$\texttt{RidgeSketch}$: A Fast sketching based solver for large scale ridge regression


$\texttt{SAGE}$: A Generic Framework for LLM Safety Evaluation


$\texttt{SOM}$: Implementation of the Stochastic Optimization Method for Analytic Continuation


$\texttt{Symdyn}$: an automated algebraic solution for high-order quantum systems


$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery


$\texttt{dattri}$: A Library for Efficient Data Attribution


$\texttt{immrax}$: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX


$\texttt{matryoshka}$ II: Accelerating Effective Field Theory Analyses of the Galaxy Power Spectrum


$\texttt{metabench}$ -- A Sparse Benchmark to Measure General Ability in Large Language Models


$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning


$\texttt{synax}$: A Differentiable and GPU-accelerated Synchrotron Simulation Package


$\texttt{triceratops}$: A Tool for Rapid Validation of $\textit{TESS}$ Objects of Interest and Application to 424 Planet Candidates


$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning


$\text{A}^3$: Activation Anomaly Analysis


$\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation


$\text{H}^2\text{TNE}$: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces


$\text{R}^2\text{ec}$: Towards Large Recommender Models with Reasoning


$\tt GrayHawk$: A public code for calculating the Gray Body Factors of massless fields around spherically symmetric Black Holes


$\tt{KOBEsim}$: a Bayesian observing strategy algorithm for planet detection in radial velocity blind-search surveys


$\varepsilon$-strong simulation of the convex minorants of stable processes and meanders


$\varphi$enics: Vainshtein screening with the finite element method


$^R$FLAV: Rolling Flow matching for infinite Audio Video generation


$b$-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches


$d_X$-Privacy for Text and the Curse of Dimensionality


$e$PCA: High Dimensional Exponential Family PCA


$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy


$f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning


$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization


$i$-QER: An Intelligent Approach towards Quantum Error Reduction


$i$QIST: An open source continuous-time quantum Monte Carlo impurity solver toolkit


$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction


$k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers


$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering


$k$-Means Clustering for Persistent Homology


$k$-e$μ$lator: emulating clustering effects of the $k$-essence dark energy


$k$-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences


$k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection


$k$NN Attention Demystified: A Theoretical Exploration for Scalable Transformers


$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference


$k$NN-NER: Named Entity Recognition with Nearest Neighbor Search


$m^4Adapter$: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter


$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study


$p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets


$p$-Laplacian Based Graph Neural Networks


$p$-Poisson surface reconstruction in curl-free flow from point clouds


$p$SVM: Soft-margin SVMs with $p$-norm Hinge Loss


$py$GWBSE: A high throughput workflow package for GW-BSE calculations


$t$-$k$-means: A Robust and Stable $k$-means Variant


${\it Asparagus}$: A Toolkit for Autonomous, User-Guided Construction of Machine-Learned Potential Energy Surfaces


${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning


${\tt MORALS}$: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space


${\tt simwave}$ -- A Finite Difference Simulator for Acoustic Waves Propagation


$Δ$-Nets: Interaction-Based System for Optimal Parallel $λ$-Reduction


$Δ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies


$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells


$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI


$Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum


$Λ$CDM star clusters at cosmic dawn: stellar densities, environment, and equilibrium


$α$ Belief Propagation for Approximate Inference


$α$-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs


$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers


$β$-DPO: Direct Preference Optimization with Dynamic $β$


$β$-FPUT chains under time-periodic forcing


$β$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation


$β$-Multivariational Autoencoder for Entangled Representation Learning in Video Frames


$β$-Variational Autoencoder as an Entanglement Classifier


$β^3$-IRT: A New Item Response Model and its Applications


$γ$-Cascade V4: A Semi-Analytical Code for Modeling Cosmological Gamma-Ray Propagation


$γ$-deepDSM for interface reconstruction: operator learning and a Learning-Automated FEM package


$ε$-shotgun: $ε$-greedy Batch Bayesian Optimisation


$λ_S$: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes


$μ$AFL: Non-intrusive Feedback-driven Fuzzing for Microcontroller Firmware


$μ$BERT: Mutation Testing using Pre-Trained Language Models


$μ$Dep: Mutation-based Dependency Generation for Precise Taint Analysis on Android Native Code


$μ$OpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics


$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications


$ν$DoBe -- A Python Tool for Neutrinoless Double Beta Decay


$ξ$-torch: differentiable scientific computing library


$π$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation


$ρ$-CP: Open Source Dislocation Density Based Crystal Plasticity Framework for Simulating Temperature- and Strain Rate-Dependent Deformation


$ρ$-Diffusion: A diffusion-based density estimation framework for computational physics


$ρ$-VAE: Autoregressive parametrization of the VAE encoder


$ρ$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis


$σ$-PCA: a building block for neural learning of identifiable linear transformations


$σ$-Ridge: group regularized ridge regression via empirical Bayes noise level cross-validation


$σ^2$R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions


$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment


$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains


$χ$iplot: web-first visualisation platform for multidimensional data


$ψ$DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning


'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification


'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks


'Deep' Dive into $b \to c$ Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks


'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism


'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems


'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation


'Mic drop': on estimating the size of sub-mm droplets using a simple condenser microphone


'Moving On' -- Investigating Inventors' Ethnic Origins Using Supervised Learning


'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews


'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking


'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images


'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges


(3200) Phaethon Polarimetry in the Negative Branch: New Evidence for the Anhydrous Nature of the DESTINY+ Target Asteroid


(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum


(Almost) Free Incentivized Exploration from Decentralized Learning Agents


(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number


(De)-regularized Maximum Mean Discrepancy Gradient Flow


(De)Constructing Bias on Skin Lesion Datasets


(De)Randomized Smoothing for Certifiable Defense against Patch Attacks


(De-)Randomized Smoothing for Decision Stump Ensembles


(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning


(In)dependence of the axioms of $Λ$-trees


(Ir)rationality and Cognitive Biases in Large Language Models


(Just) A Spoonful of Refinements Helps the Registration Error Go Down


(Local) Differential Privacy has NO Disparate Impact on Fairness


(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas


(Mis)align: A Simple Dynamic Framework for Modeling Interpersonal Coordination


(Mis)information diffusion and the financial market


(Non-)retracted academic papers in OpenAlex


(Not) Understanding Latin Poetic Style with Deep Learning


(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts


(QA)$^2$: Question Answering with Questionable Assumptions


(Quasi)Periodicity Quantification in Video Data, Using Topology


(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning


(Stochastic) Model Predictive Control -- a Simulation Example


(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs


(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers


(Un)fair Exposure in Deep Face Rankings at a Distance


(Un)informed Consent: Studying GDPR Consent Notices in the Field


(Un)likelihood Training for Interpretable Embedding


(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performance


(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs


(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges


+Tour: Recommending personalized itineraries for smart tourism


0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera


007: Democratically Finding The Cause of Packet Drops


1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge


1-2-3 Reproducibility for Quantum Software Experiments


1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization


1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments


1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy


1-Lipschitz Neural Networks are more expressive with N-Activations


1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis


1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality Data


10 Years of Archival High-Resolution NIR Spectra: The Raw and Reduced IGRINS Spectral Archive (RRISA)


10,000 Resolved Triples from Gaia: Empirical Constraints on Triple Star Populations


100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances


100,000 Crab giant pulses at 215 MHz detected with an SKA-Low prototype station


100-Day Analysis of USD/IDR Exchange Rate Dynamics Around the 2025 U.S. Presidential Inauguration


100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?


16 Ways to Gallop: Energetics and Body Dynamics of High-Speed Quadrupedal Gaits


17T7 is a Galois group over the rationals


19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology


1D CNN Architectures for Music Genre Classification


1D Majorana Goldstinos and partial supersymmetry breaking in quantum wires


1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction


1D-Convolutional transformer for Parkinson disease diagnosis from gait


1M parameters are enough? A lightweight CNN-based model for medical image segmentation


1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation


1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation


1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation


1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track


1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking


1st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image Translation


1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation


1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification


1xN Pattern for Pruning Convolutional Neural Networks


2-Cats: 2D Copula Approximating Transforms


2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network


2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining


2.5D Mapping, Pathfinding and Path Following For Navigation Of A Differential Drive Robot In Uneven Terrain


2.5D Root of Trust: Secure System-Level Integration of Untrusted Chiplets


2.5D Thermometry Maps for MRI-guided Tumor Ablation


2.5D U-Net with Depth Reduction for 3D CryoET Object Identification


2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data


20 years of photometric microlensing events predicted by Gaia DR2: Potential planet-hosting lenses within 100 pc


2017 Robotic Instrument Segmentation Challenge


2018 Robotic Scene Segmentation Challenge


2021 Census of Interstellar, Circumstellar, Extragalactic, Protoplanetary Disk, and Exoplanetary Molecules


20min-XD: A Comparable Corpus of Swiss News Articles


21 cm Intensity Mapping with the DSA-2000


21cm signal sensitivity to dark matter decay


21cmSense v2: A modular, open-source 21cm sensitivity calculator


21cmVAE: A Very Accurate Emulator of the 21-cm Global Signal


21cmfish: Fisher-matrix framework for fast parameter forecasts from the cosmic 21-cm signal


230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers


2AFC Prompting of Large Multimodal Models for Image Quality Assessment


2D Bayesian automated tilted-ring fitting of disk galaxies in large HI galaxy surveys: 2DBAT


2D Eddy Current Boundary Value Problems for Power Cables with Helicoidal Symmetry


2D Embeddings of Multi-dimensional Partitionings


2D Floor Plan Segmentation Based on Down-sampling


2D Grid Map Generation for Deep-Learning-based Navigation Approaches


2D Image head pose estimation via latent space regression under occlusion settings


2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout Estimation


2D Matryoshka Training for Information Retrieval


2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T


2D Pose Estimation based Child Action Recognition


2D Signal Estimation for Sparse Distributed Target Photon Counting Data


2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans


2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy


2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor


2D score based estimation of heterogeneous treatment effects


2D-FFTLog: Efficient computation of real space covariance matrices for galaxy clustering and weak lensing


2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems


2D-Shapley: A Framework for Fragmented Data Valuation


2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models


2DLIW-SLAM:2D LiDAR-Inertial-Wheel Odometry with Real-Time Loop Closure


2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification


2DNMRGym: An Annotated Experimental Dataset for Atom-Level Molecular Representation Learning in 2D NMR via Surrogate Supervision


2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution


2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning


2FAST-2LAMAA: A Lidar-Inertial Localisation and Mapping Framework for Non-Static Environments


2HDECAY - A program for the Calculation of Electroweak One-Loop Corrections to Higgs Decays in the Two-Higgs-Doublet Model Including State-of-the-Art QCD Corrections


2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection


2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction


2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images


2SSP: A Two-Stage Framework for Structured Pruning of LLMs


2kenize: Tying Subword Sequences for Chinese Script Conversion


2nd Place Solution to Google Landmark Retrieval 2021


2nd Place Solution to Google Universal Image Embedding


2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022


3+ Seat Risk-Limiting Audits for Single Transferable Vote Elections


3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents


3-D Shadows of 4-D Algebraic Hypersurfaces in a 4-D Perspective


3-Dimensional Sonic Phase-invariant Echo Localization


3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability


360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network


360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception


360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron


360$^\circ$REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System


360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation


360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales


360-Degree Panorama Generation from Few Unregistered NFoV Images


360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning


360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance


360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries


360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic


360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation


360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking


3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset


3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization


3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly


3D Adversarial Attacks Beyond Point Cloud


3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding


3D Appearance Super-Resolution with Deep Learning


3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images


3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View


3D Brain and Heart Volume Generative Models: A Survey


3D Building Generation in Minecraft via Large Language Models


3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions


3D CNNs with Adaptive Temporal Feature Resolutions


3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image


3D Cascade RCNN: High Quality Object Detection in Point Clouds


3D Clothed Human Reconstruction in the Wild


3D CoCa: Contrastive Learners are 3D Captioners


3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation


3D Convective Urca Process in a Simmering White Dwarf


3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes


3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations


3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection


3D Densely Convolutional Networks for Volumetric Segmentation


3D Dental Model Segmentation with Geometrical Boundary Preserving


3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations


3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI


3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection


3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI


3D Face Modeling From Diverse Raw Scan Data


3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior


3D Face Morphing Attacks: Generation, Vulnerability and Detection


3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation


3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder


3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes


3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining


3D Fluid Flow Estimation with Integrated Particle Reconstruction


3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration


3D Former: Monocular Scene Reconstruction with 3D SDF Transformers


3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images


3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction


3D Gaussian Splatting for Real-Time Radiance Field Rendering


3D Gaussian Splatting in Robotics: A Survey


3D Gaussian Splatting with Deferred Reflection


3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities


3D Generative Model Latent Disentanglement via Local Eigenprojection


3D Geometric Shape Assembly via Efficient Point Cloud Matching


3D Geometric salient patterns analysis on 3D meshes


3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space


3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration


3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors


3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions


3D Human Pose Estimation in RGBD Images for Robotic Task Learning


3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer


3D Human Pose Estimation with 2D Marginal Heatmaps


3D Human Pose Estimation with Relational Networks


3D Human Pose Estimation with Siamese Equivariant Embedding


3D Human Pose Lifting with Grid Convolution


3D Human Pose Regression using Graph Convolutional Network


3D Human Pose and Shape Estimation via HybrIK-Transformer


3D Implicit Transporter for Temporally Consistent Keypoint Discovery


3D Indoor Instance Segmentation in an Open-World


3D Infomax improves GNNs for Molecular Property Prediction


3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal


3D Interaction Geometric Pre-training for Molecular Relational Learning


3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation


3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes


3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective


3D Medical Image Segmentation based on multi-scale MPU-Net


3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks


3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis


3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers


3D Morphable Face Models -- Past, Present and Future


3D Morphable Models as Spatial Transformer Networks


3D Multi-Object Tracking: A Baseline and New Evaluation Metrics


3D Multi-frame Fusion for Video Stabilization


3D Multimodal Image Registration for Plant Phenotyping


3D NLTE spectral line formation of lithium in late-type stars


3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation


3D Neural Network for Lung Cancer Risk Prediction on CT Volumes


3D Neural Operator-Based Flow Surrogates around 3D geometries: Signed Distance Functions and Derivative Constraints


3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions


3D Object Detection for Autonomous Driving: A Comprehensive Survey


3D Object Detection for Autonomous Driving: A Survey


3D Object Detection from Images for Autonomous Driving: A Survey


3D Object Detection with a Self-supervised Lidar Scene Flow Backbone


3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models


3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation


3D Part Segmentation via Geometric Aggregation of 2D Visual Features


3D Photography using Context-aware Layered Depth Inpainting


3D Point Cloud Network Pruning: When Some Weights Do not Matter


3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning


3D Pose Transfer with Correspondence Learning and Mesh Refinement


3D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation Approach


3D Printing of Invariant Manifolds in Dynamical Systems


3D Priors-Guided Diffusion for Blind Face Restoration


3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising


3D Radar Velocity Maps for Uncertain Dynamic Environments


3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization


3D Reconstruction Using a Linear Laser Scanner and a Camera


3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field


3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology


3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network


3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models


3D Reconstruction of Spherical Images based on Incremental Structure from Motion


3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform


3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding


3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities Segmentation


3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera


3D Self-Supervised Methods for Medical Imaging


3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds


3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability


3D Shape Completion on Unseen Categories:A Weakly-supervised Approach


3D Shape Completion with Test-Time Training


3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis


3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow


3D Shape Reconstruction from Vision and Touch


3D Shape Sequence of Human Comparison and Classification using Current and Varifolds


3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces


3D Small Object Detection with Dynamic Spatial Pruning


3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis


3D Structure from 2D Microscopy images using Deep Learning


3D Structure-guided Network for Tooth Alignment in 2D Photograph


3D Surface Reconstruction From Multi-Date Satellite Images


3D Textured Shape Recovery with Learned Geometric Priors


3D ToF LiDAR in Mobile Robotics: A Review


3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation


3D Traffic Simulation for Autonomous Vehicles in Unity and Python


3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers


3D Two-Hop Cellular Networks with Wireless Backhauled UAVs: Modeling and Fundamentals


3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation


3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction


3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation


3D VR Sketch Guided 3D Shape Prototyping and Exploration


3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs


3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection


3D Vessel Graph Generation Using Denoising Diffusion


3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning


3D Video Object Detection with Learnable Object-Centric Global Optimization


3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands


3D Vision and Language Pretraining with Large-Scale Synthetic Data


3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection


3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification


3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance


3D electromagnetic modelling and inversion: A case for open-source


3D extinction mapping of the Milky Way using Convolutional Neural Networks: Presentation of the method and demonstration in the Carina Arm region


3D fictitious wave domain CSEM inversion by adjoint source estimation


3D fluorescence microscopy data synthesis for segmentation and benchmarking


3D genome reconstruction from partially phased Hi-C data


3D human pose estimation from depth maps using a deep combination of poses


3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries


3D microstructural generation from 2D images of cement paste using generative adversarial networks


3D molecule generation by denoising voxel grids


3D non-LTE iron abundances in FG-type dwarfs


3D reconstruction using Structure for Motion


3D scene generation from scene graphs and self-attention


3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography


3D visualization of astronomy data cubes using immersive displays


3D$^2$-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling


3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification


3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation


3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation


3D-Aware Multi-Class Image-to-Image Translation with NeRFs


3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation


3D-Aware Scene Manipulation via Inverse Graphics


3D-Aware Semantic-Guided Generative Model for Human Synthesis


3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation


3D-Aware Visual Question Answering about Parts, Poses and Occlusions


3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm


3D-Barolo: a new 3D algorithm to derive rotation curves of galaxies


3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D Reconstruction


3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval


3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits


3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos


3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification


3D-EX : A Unified Dataset of Definitions and Dictionary Examples


3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation


3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation


3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination


3D-IDS: Doubly Disentangled Dynamic Intrusion Detection


3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image


3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors


3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology


3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation


3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling


3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking


3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds


3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling


3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks


3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image


3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap


3D-Printed Sheet Jet for Stable Megahertz Liquid Sample Delivery at X-ray Free Electron Lasers


3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image Classification


3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers


3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans


3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection


3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation


3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images


3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation


3D-aware Image Synthesis via Learning Structural and Textural Representations


3D-model ShapeNet Core Classification using Meta-Semantic Learning


3D-to-2D Distillation for Indoor Scene Parsing


3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering


3D2M Dataset: A 3-Dimension diverse Mesh Dataset


3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs


3DAC: Learning Attribute Compression for Point Clouds


3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians


3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution


3DB: A Framework for Debugging Computer Vision Models


3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset


3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition


3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes


3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation


3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation


3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation


3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration


3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model


3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching


3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents


3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians


3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation


3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection


3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt


3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh


3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos


3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting


3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding


3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces


3DILG: Irregular Latent Grids for 3D Generative Modeling


3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems


3DInAction: Understanding Human Actions in 3D Point Clouds


3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion


3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data


3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding


3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking


3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering


3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions


3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery


3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds


3DP3: 3D Scene Perception via Probabilistic Programming


3DPortraitGAN: Learning One-Quarter Headshot 3D GANs from a Single-View Portrait Dataset with Diverse Body Poses


3DReact: Geometric deep learning for chemical reactions


3DRegNet: A Deep Neural Network for 3D Point Registration


3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation


3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer


3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models


3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization


3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion


3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors


3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition


3DV: 3D Dynamic Voxel for Action Recognition in Depth Video


3DVNet: Multi-View Depth Prediction and Volumetric Refinement


3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models


3DYoga90: A Hierarchical Video Dataset for Yoga Pose Understanding


3DeformRS: Certifying Spatial Deformations on Point Clouds


3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset


3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network


3FM: Multi-modal Meta-learning for Federated Tasks


3FabRec: Fast Few-shot Face alignment by Reconstruction


3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network


3HAN: A Deep Neural Network for Fake News Detection


3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation


3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark


3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding


3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding


3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding


3d Mirrors and Phase Diagrams of Abelian Gauge Theories


3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning


3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting


3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis


3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding


3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW


3rd Place Solution to Meta AI Video Similarity Challenge


3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge


4-OGC: Catalog of gravitational waves from compact-binary mergers


4-bit Shampoo for Memory-Efficient Network Training


4-cop-win graphs have at least 19 vertices


4.5 Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Scams, and Malware


4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras


4D Dual-Tree Complex Wavelets for Time-Dependent Data


4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models


4D Myocardium Reconstruction with Decoupled Motion and Shape Model


4D Radar-Inertial Odometry based on Gaussian Modeling and Multi-Hypothesis Scan Matching


4D SlingBAG: spatial-temporal coupled Gaussian ball for large-scale dynamic 3D photoacoustic iterative reconstruction


4D, $\mathcal{N}=1$ Matter Gravitino Genomics


4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding


4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations


4D-Explorer: A visual software for 4D-STEM data processing and image reconstruction


4D-ONIX: A deep learning approach for reconstructing 3D movies from sparse X-ray projections


4D-OR: Semantic Scene Graphs for OR Domain Modeling


4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes


4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation


4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling


4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs


4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics


4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields


4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds


4Dia: A tool for automated 4D microscope image alignment


4Hammer: a board-game reinforcement learning environment for the hour long time frame


4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions


4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters


4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs


4bit-Quantization in Vector-Embedding for RAG


5-point CAT(0) spaces after Tetsu Toyoda


50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications


500xCompressor: Generalized Prompt Compression for Large Language Models


5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion


5G-WAVE: A Core Network Framework with Decentralized Authorization for Network Slices


5th Place Solution to Kaggle Google Universal Image Embedding Competition


6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints


6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation


6D Object Pose Regression via Supervised Learning on Point Clouds


6D Rotation Representation For Unconstrained Head Pose Estimation


6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry


6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning


6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping


6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction


6Vision: Image-encoding-based IPv6 Target Generation in Few-seed Scenarios


70 years of machine learning in geoscience in review


70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float


7T MRI Synthesization from 3T Acquisitions


8-bit Optimizers via Block-wise Quantization


9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay


94% on CIFAR-10 in 3.29 Seconds on a Single GPU


A "Galactic Disk"-Model for Three-Dimensional Bernstein-Greene-Kruskal Modes in a Finite Magnetic Field


A "Rosetta Stone" for Studies of Spatial Variation in Astrophysical Data: Power Spectra, Semivariograms, Structure Functions, and More


A $J$-Symmetric Quasi-Newton Method for Minimax Problems


A $Li$ne $Me$asuring library for large and complex spectroscopic data sets: Implementation of a virtual observatory for JWST spectra


A $k$-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning


A $k\cdot p$ effective Hamiltonian generator


A $Δ$-evaluation function for column permutation problems


A $Λ$-Fleming-Viot type model with intrinsically varying population size


A $μ$-mode BLAS approach for multidimensional tensor-structured problems


A $ν$ look at the Sun: Probing the conditions of the solar core using $^8$B neutrinos


A 'moment-conserving' reformulation of GW theory


A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection


A (quasi-)polynomial time heuristic algorithm for synthesizing T-depth optimal circuits


A 10d construction of Euclidean axion wormholes in flat and AdS space


A 12.4 day periodicity in a close binary system after a supernova


A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors


A 1d convolutional network for leaf and time series classification


A 20-Second Cadence View of Solar-Type Stars and Their Planets with TESS: Asteroseismology of Solar Analogs and a Re-characterization of pi Men c


A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images


A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI


A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time


A 3D Framework for Improving Low-Latency Multi-Channel Live Streaming


A 3D Mixed Reality Interface for Human-Robot Teaming


A 3D generative model of pathological multi-modal MR images and segmentations


A 3D model for CO molecular line emission as a potential CMB polarization contaminant


A 3D model-based approach for fitting masks to faces in the wild


A 4-8 GHz Galactic Center Search for Periodic Technosignatures


A 4-DoF Parallel Origami Haptic Device for Normal, Shear, and Torsion Feedback


A 4-approximation algorithm for min max correlation clustering


A 55-line code for large-scale parallel topology optimization in 2D and 3D


A 7K Parameter Model for Underwater Image Enhancement based on Transmission Map Prior


A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video


A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank


A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation


A Bandpass Twin-T Active Filter Used in the Buchla 200 Electric Music Box Synthesizer


A Baseline Analysis for Podcast Abstractive Summarization


A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge


A Baseline Readability Model for Cebuano


A Baseline for Few-Shot Image Classification


A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks


A Baseline for Shapley Values in MLPs: from Missingness to Neutrality


A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing


A Batch Normalization Classifier for Domain Adaptation


A Batch Normalized Inference Network Keeps the KL Vanishing Away


A Bayes Factor Framework for Unified Parameter Estimation and Hypothesis Testing


A Bayes Factor for Replications of ANOVA Results


A Bayesian 'sandwich' for variance estimation


A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain


A Bayesian Agent-Based Framework for Argument Exchange Across Networks


A Bayesian Approach To Analysing Training Data Attribution In Deep Learning


A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting


A Bayesian Approach for Earthquake Impact Modelling


A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis


A Bayesian Approach for Sequence Tagging with Crowds


A Bayesian Approach to OOD Robustness in Image Classification


A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control


A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes


A Bayesian Approach to Robust Inverse Reinforcement Learning


A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation


A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems


A Bayesian Basket Trial Design Using Local Power Prior


A Bayesian Calibration Framework for EDGES


A Bayesian Convolutional Neural Network-based Generalized Linear Model


A Bayesian Data Augmentation Approach for Learning Deep Models


A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks


A Bayesian Feature Allocation Model for Identification of Cell Subpopulations Using Cytometry Data


A Bayesian Framework for Information-Theoretic Probing


A Bayesian Framework for Multivariate Differential Analysis accounting for Missing Data


A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data


A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates


A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence


A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer


A Bayesian Hierarchical Time Series Model for Reconstructing Hydroclimate from Multiple Proxies


A Bayesian Hybrid Design with Borrowing from Historical Study


A Bayesian Interpretation of Adaptive Low-Rank Adaptation


A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data


A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial


A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death


A Bayesian Method for Joint Clustering of Vectorial Data and Network Data


A Bayesian Methodology for Estimation for Sparse Canonical Correlation


A Bayesian Model of Dose-Response for Cancer Drug Studies


A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-Spreading


A Bayesian Multiscale Deep Learning Framework for Flows in Random Media


A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting


A Bayesian Network Model for Interesting Itemsets


A Bayesian Nonparametric Approach for Clustering Functional Trajectories over Time


A Bayesian Nonparametric Approach for Identifying Differentially Abundant Taxa in Multigroup Microbiome Data with Covariates


A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering


A Bayesian Nonparametric Conditional Two-sample Test with an Application to Local Causal Discovery


A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks


A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection


A Bayesian Nonparametric model for textural pattern heterogeneity


A Bayesian Optimization Approach to Machine Translation Reranking


A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions


A Bayesian Optimization approach for calibrating large-scale activity-based transport models


A Bayesian Phylogenetic Hidden Markov Model for B Cell Receptor Sequence Analysis


A Bayesian Population Model for the Observed Dust Attenuation in Galaxies


A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games


A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions


A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing


A Bayesian Spatio-Temporal Extension to Poisson Auto-Regression: Modeling the Disease Infection Rate of COVID-19 in England


A Bayesian Survival Model for Time-Varying Coefficients and Unobserved Heterogeneity


A Bayesian Take on Gaussian Process Networks


A Bayesian Variational principle for dynamic Self Organizing Maps


A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data


A Bayesian accelerated failure time model for interval censored three-state screening outcomes


A Bayesian actor-oriented multilevel relational event model with hypothesis testing procedures


A Bayesian alternative to mutual information for the hierarchical clustering of dependent random variables


A Bayesian analysis of the time through the order penalty in baseball


A Bayesian approach to functional regression: theory and computation


A Bayesian approach to sharing information on sensitivity of a Multi-Cancer Early Detection test across and within tumour types and stages


A Bayesian approach with Gaussian priors to the inverse problem of source identification in elliptic PDEs


A Bayesian circular mixed-effects model for explaining variability in directional movement in American football


A Bayesian framework for case-cohort Cox regression: application to dietary epidemiology


A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance


A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches


A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef


A Bayesian method for detecting stellar flares


A Bayesian mixture model approach to quantifying the empirical nuclear saturation point


A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure


A Bayesian model of information cascades


A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes


A Bayesian model selection approach for identifying differentially expressed transcripts from RNA-Seq data


A Bayesian multivariate extreme value mixture model


A Bayesian neural network predicts the dissolution of compact planetary systems


A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification


A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study


A Bayesian spatio-temporal analysis of markets during the Finnish 1860s famine


A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer


A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules


A Bayesian time-to-event pharmacokinetic model for sequential phase I dose-escalation trials with multiple schedules


A Bayesian treatment of the German tank problem


A Bayesian view of doubly robust causal inference


A Bayesian workflow for securitizing casualty insurance risk


A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping


A Behaviour and Disease Model of Testing and Isolation


A Bellman-Ford algorithm for the path-length-weighted distance in graphs


A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications


A Benchmark Dataset for Collaborative SLAM in Service Environments


A Benchmark Dataset for Learning to Intervene in Online Hate Speech


A Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language


A Benchmark Environment for Offline Reinforcement Learning in Racing Games


A Benchmark Reference for ESP32-CAM Module


A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit


A Benchmark Study of Contrastive Learning for Arabic Social Meaning


A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs


A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets


A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection


A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning


A Benchmark and Dataset for Post-OCR text correction in Sanskrit


A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection


A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms


A Benchmark and a Baseline for Robust Multi-view Depth Estimation


A Benchmark for Active Learning of Variability-Intensive Systems


A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets


A Benchmark for Chinese-English Scene Text Image Super-resolution


A Benchmark for Compositional Visual Reasoning


A Benchmark for Edge-Preserving Image Smoothing


A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography


A Benchmark for Gaussian Splatting Compression and Quality Assessment Study


A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon


A Benchmark for Incremental Micro-expression Recognition


A Benchmark for Inpainting of Clothing Images with Irregular Holes


A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization


A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem


A Benchmark for Point Clouds Registration Algorithms


A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs


A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos


A Benchmark for Systematic Generalization in Grounded Language Understanding


A Benchmark for Understanding Dialogue Safety in Mental Health Support


A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories


A Benchmark of Data Loss Bugs for Android Apps


A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling


A Benchmark of Long-tailed Instance Segmentation with Noisy Labels


A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News


A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State


A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data


A Benchmarking Study of Vision-based Robotic Grasping Algorithms


A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning


A Better Alternative to Piecewise Linear Time Series Segmentation


A Better Loss for Visual-Textual Grounding


A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer


A Better Way to Do Masked Language Model Scoring


A Bi-Encoder LSTM Model For Learning Unstructured Dialogs


A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs


A Bi-Objective MDP Design approach to redundancy allocation with dynamic maintenance for a parallel system


A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization


A Bi-criterion Steiner Traveling Salesperson Problem with Time Windows for Last-Mile Electric Vehicle Logistics


A Bi-directional Quantum Search Algorithm


A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant Analysis


A Bi-metric Framework for Fast Similarity Search


A Bi-population Particle Swarm Optimizer for Learning Automata based Slow Intelligent System


A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames


A Bias-Corrected Estimator for the Crosswise Model with Inattentive Respondents


A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets


A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models


A Biased Graph Neural Network Sampler with Near-Optimal Regret


A Bibliographic View on Constrained Clustering


A Bifurcation Lemma for Invariant Subspaces


A Big Data Architecture for Early Identification and Categorization of Dark Web Sites


A Bilevel Formalism for the Peer-Reviewing Problem


A Bilevel Optimization Framework for Imbalanced Data Classification


A Bimanual Teleoperation Framework for Light Duty Underwater Vehicle-Manipulator Systems


A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization


A Binary Offset Effect in CCD Readout and Its Impact on Astronomical Data


A Binded VAE for Inorganic Material Generation


A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data


A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule


A Biomedically oriented automatically annotated Twitter COVID-19 Dataset


A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge


A Bird's-eye View of Reranking: from List Level to Page Level


A Bisection Method to Solve The Elvis Problem With Convex Bounded Velocity Sets


A Bit More Bayesian: Domain-Invariant Learning with Uncertainty


A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages


A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection


A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification


A Black-box Testing Framework for Oracle Quantum Programs


A Blob Method for Mean Field Control With Terminal Constraints


A Block Bidiagonalization Method for Fixed-Accuracy Low-Rank Matrix Approximation


A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs


A Bloom filter based semi-index on $q$-grams


A Blue Start: A large-scale pairwise and higher-order social network dataset


A BlueROV2-based platform for underwater mapping experiments


A Blueprint for the Milky Way's Stellar Populations. V. 3D Local Dust Extinction


A Bond-Based Machine Learning Model for Molecular Polarizabilities and A Priori Raman Spectra


A Bonus-Malus Framework for Cyber Risk Insurance and Optimal Cybersecurity Provisioning


A Boo(n) for Evaluating Architecture Performance


A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge


A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions


A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks


A Boundary Offset Prediction Network for Named Entity Recognition


A Boundary Regression Model for Nested Named Entity Recognition


A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding


A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder


A Brain-Inspired Sequence Learning Model based on a Logic


A Branch-and-Price Algorithm Enhanced by Decision Diagrams for the Kidney Exchange Problem


A Branch-and-Price Algorithm for a Team Orienteering Problem with Fixed-Wing Drones


A Bregman ADMM for Bethe variational problem


A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs


A Bregman-Kaczmarz method for nonlinear systems of equations


A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taeda


A Brief Comparison of Two Enterprise-Class RDBMSs


A Brief Introduction to Causal Inference in Machine Learning


A Brief Note on Building Augmented Reality Models for Scientific Visualization


A Brief Overview of the UML Scientific Profile


A Brief Review of Real-World Color Image Denoising


A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss


A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution


A Brief Tutorial on Sample Size Calculations for Fairness Audits


A Broad Class of Conservative Numerical Methods for Dispersive Wave Equations


A Broad Ensemble Learning System for Drifting Stream Classification


A Broad Study of Pre-training for Domain Generalization and Adaptation


A Broad Study on the Transferability of Visual Representations with Contrastive Learning


A Broader Picture of Random-walk Based Graph Embedding


A Byte-sized Approach to Named Entity Recognition


A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators


A C++ implementation of the discrete adjoint sensitivity analysis method for explicit adaptive Runge-Kutta methods enabled by automatic adjoint differentiation and SIMD vectorization


A C++ program for estimating detector sensitivities to long-lived particles: Displaced Decay Counter


A C++17 Thread Pool for High-Performance Scientific Computing


A CASSCF/MRCI Trajectory Surface Hopping Simulation of the Photochemical Dynamics and the Gas Phase Ultrafast Electron Diffraction Patterns of Cyclobutanone


A CCG-based Compositional Semantics and Inference System for Comparatives


A CLIP-Hitchhiker's Guide to Long Video Retrieval


A CLIP-based siamese approach for meme classification


A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing


A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection


A CNN adapted to time series for the classification of Supernovae


A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification


A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans


A CNN-RNN Framework for Crop Yield Prediction


A CNN-based tool for automatic tongue contour tracking in ultrasound images


A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy


A Cahn--Hilliard--Willmore phase field model for non-oriented interfaces


A Calculus for Scoped Effects & Handlers


A Call for Clarity in Beam Search: How It Works and When It Stops


A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy


A Capacity Scaling Law for Artificial Neural Networks


A Capsule Network for Recommendation and Explaining What You Like and Dislike


A Capsule Network for Traffic Speed Prediction in Complex Road Networks


A Capsule Network-based Model for Learning Node Embeddings


A Carrying Capacity Calculator for Pedestrians Using OpenStreetMap Data: Application to Urban Tourism and Public Spaces


A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation


A Cartesian catalog of 30 million Gaia sources based on second-order and Monte Carlo error propagation


A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion


A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction


A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study


A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy


A Case For Adaptive Deep Neural Networks in Edge Computing


A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining


A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph


A Case Study in CUDA Kernel Fusion: Implementing FlashAttention-2 on NVIDIA Hopper Architecture using the CUTLASS Library


A Case Study of Agent-Based Models for Evolutionary Game Theory


A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs


A Case Study of First Person Aiming at Low Latency for Esports


A Case Study on the Stability of Performance Tests for Serverless Applications


A Case for Library-Level k-Means Binning in Histogram Gradient-Boosted Trees


A Case for Synthesis of Recursive Quantum Unitary Programs


A Case for Transparent Reliability in DRAM Systems


A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization


A Catalog of Quasar Properties from Sloan Digital Sky Survey Data Release 16


A Categorical Archive of ChatGPT Failures


A Categorical Framework for Modeling with Stock and Flow Diagrams


A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images


A Causal Framework for Evaluating Deferring Systems


A Causal Framework for Observational Studies of Discrimination


A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination


A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models


A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations


A Causal Inspired Early-Branching Structure for Domain Generalization


A Causal View of Entity Bias in (Large) Language Models


A Census of Photometrically Selected Little Red Dots at 4 < z < 9 in JWST Blank Fields


A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition


A Central Limit Theorem for intransitive dice


A Centrality Analysis of the Lightning Network


A Century of Portraits: A Visual Historical Record of American High School Yearbooks


A Certifiable Algorithm for Simultaneous Shape Estimation and Object Tracking


A Certified Radius-Guided Attack Framework to Image Segmentation Models


A Chain Graph Interpretation of Real-World Neural Networks


A Challenge Dataset and Effective Models for Conversational Stance Detection


A Challenge to Build Neuro-Symbolic Video Agents


A Challenging Benchmark for Low-Resource Learning


A Challenging Benchmark of Anime Style Recognition


A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video


A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions


A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion


A Change-Point Approach to Estimating the Proportion of False Null Hypotheses in Multiple Testing


A Channel Coding Benchmark for Meta-Learning


A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVM


A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder


A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization


A Character-Word Compositional Neural Language Model for Finnish


A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects


A Character-level Span-based Model for Mandarin Prosodic Structure Prediction


A Characteristic Function Approach to Deep Implicit Generative Modeling


A Characterwise Windowed Approach to Hebrew Morphological Segmentation


A Chatbot for Asylum-Seeking Migrants in Europe


A Cheaper and Better Diffusion Language Model with Soft-Masked Noise


A Chinese Corpus for Fine-grained Entity Typing


A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction


A Chinese Multi-label Affective Computing Dataset Based on Social Media Network Users


A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems


A Chromium-based Memento-aware Web Browser


A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design


A City of Millions: Mapping Literary Social Networks At Scale


A Claim Decomposition Benchmark for Long-form Answer Verification


A Clarified Typology of Core-Periphery Structure in Networks


A Class of Algorithms for General Instrumental Variable Models


A Class of Computational Methods to Reduce Selection Bias when Designing Phase 3 Clinical Trials


A Class of Models for Large Zero-inflated Spatial Data


A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams


A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Voice


A Classification approach towards Unsupervised Learning of Visual Representations


A Classification of $G$-invariant Shallow Neural Networks


A Classification of Critical Configurations for any Number of Projective Views


A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems


A Classification of Genus 0 Modular Curves with Rational Points


A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation


A Classification-based Approach for Approximate Reachability


A Classification-by-Retrieval Framework for Few-Shot Anomaly Detection to Detect API Injection Attacks


A Clean Slate for Offline Reinforcement Learning


A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models


A Clinical Dataset for the Evaluation of Motion Planners in Medical Applications


A Close Look at Spatial Modeling: From Attention to Convolution


A Close Look into the Calibration of Pre-trained Language Models


A Closed-Form Nonlinear Data Assimilation Algorithm for Multi-Layer Flow Fields


A Closed-Form Transition Density Expansion for Elliptic and Hypo-Elliptic SDEs


A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion


A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation


A Closed-form Solution for the Strapdown Inertial Navigation Initial Value Problem


A Closer Cut: Computing Near-Optimal Lawn Mowing Tours


A Closer Look at Accuracy vs. Robustness


A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice


A Closer Look at Domain Shift for Deep Learning in Histopathology


A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark


A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection


A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks


A Closer Look at How Fine-tuning Changes BERT


A Closer Look at In-Context Learning under Distribution Shifts


A Closer Look at Invalid Action Masking in Policy Gradient Algorithms


A Closer Look at Lightweight Graph Reordering


A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English


A Closer Look at Local Aggregation Operators in Point Cloud Analysis


A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters


A Closer Look at Machine Unlearning for Large Language Models


A Closer Look at Mortality Risk Prediction from Electrocardiograms


A Closer Look at Parameter-Efficient Tuning in Diffusion Models


A Closer Look at Reference Learning for Fourier Phase Retrieval


A Closer Look at Self-training for Zero-Label Semantic Segmentation


A Closer Look at Small-Scale Magnetic Flux Ropes in the Solar Wind at 1 AU: Results from Improved Automated Detection


A Closer Look at Smoothness in Domain Adversarial Training


A Closer Look at Structured Pruning for Neural Network Compression


A Closer Look at Weak Label Learning for Audio Events


A Closer Look at Weakly-Supervised Audio-Visual Source Localization


A Closer Look at the Adversarial Robustness of Deep Equilibrium Models


A Closer Look at the Explainability of Contrastive Language-Image Pre-training


A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models


A Closer Look at the Intervention Procedure of Concept Bottleneck Models


A Closer Look at the Optimization Landscapes of Generative Adversarial Networks


A Closer Look at the Security Risks in the Rust Ecosystem


A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning


A Closer Look into Automatic Evaluation Using Large Language Models


A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities


A Closer Look on Gender Stereotypes in Movie Recommender Systems and Their Implications with Privacy


A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing


A Cloud Native Platform for Stateful Streaming


A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances


A Cloud-based SDN/NFV Testbed for End-to-End Network Slicing in 4G/5G


A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems


A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space


A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely


A Clustering Analysis of Tweet Length and its Relation to Sentiment


A Clustering Framework for Lexical Normalization of Roman Urdu


A Clustering Framework for Residential Electric Demand Profiles


A Clustering-based Framework for Classifying Data Streams


A Clustering-guided Contrastive Fusion for Multi-view Representation Learning


A Co-Interactive Transformer for Joint Slot Filling and Intent Detection


A Co-Matching Model for Multi-choice Reading Comprehension


A Co-design Study for Multi-Stakeholder Job Recommender System Explanations


A Coarse to Fine 3D LiDAR Localization with Deep Local Features for Long Term Robot Navigation in Large Environments


A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method


A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation


A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection


A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection


A Coarsening Algorithm on Adaptive Red-Green-Blue Refined Meshes


A Coding Framework and Benchmark towards Low-Bitrate Video Understanding


A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry


A Cognitive Writing Perspective for Constrained Long-Form Text Generation


A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving


A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing


A Coherent Unsupervised Model for Toponym Resolution


A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction


A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement


A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations


A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design


A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances


A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models


A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques


A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy


A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration


A Combined Synchronization Index for Grassroots Activism on Social Media


A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data


A Common Misassumption in Online Experiments with Machine Learning Models


A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement


A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings


A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification


A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines


A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence


A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks


A Community-Aware Framework for Social Influence Maximization


A Community-aware Network Growth Model for Synthetic Social Network Generation


A Commute in Data: The comma2k19 Dataset


A Compact Coupling Interface Method with Accurate Gradient Approximation for Elliptic Interface Problems


A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry


A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG


A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing


A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation


A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security


A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-treated Atlantic Cod (Gadus morhua) Liver


A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches


A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19


A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between?


A Comparative Analysis of Static Word Embeddings for Hungarian


A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit


A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off


A Comparative Analysis of the Ensemble Methods for Drug Design


A Comparative Assessment of Multi-view fusion learning for Crop Classification