scikit-hubness: Hubness Reduction and Approximate Neighbor Search


scikit-image: Image processing in Python


scpQCA: Enhancing mvQCA Applications through Set-Covering-Based QCA Method


seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness


seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation


sensobol: an R package to compute variance-based sensitivity indices


seqKAN: Sequence processing with Kolmogorov-Arnold Networks


sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling


shapiq: Shapley Interactions for Machine Learning


shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python


sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification


signADAM: Learning Confidences for Deep Neural Networks


sim-trhepd-rheed -- Open-source simulator of total-reflection high-energy positron diffraction (TRHEPD) and reflection high-energy electron diffraction (RHEED)


simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions


skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements


skfolio: Portfolio Optimization in Python


skscope: Fast Sparsity-Constrained Optimization in Python


skweak: Weak Supervision Made Easy for NLP


slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference


smICA: an open source repository for mapping the concentration of fluorescently labeled molecules in living cells on the basis of confocal imaging combined with time-correlated single-photon counting


small: A Programmatic Nanostructure Design and Modelling Environment


snapshot CEST++ : the next snapshot CEST for fast whole-brain APTw imaging at 3T


snompy: a package for modelling scattering-type scanning near-field optical microscopy


snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data


solar: A solar thermal power plant simulator for blackbox optimization benchmarking


spAbundance: An R package for single-species and multi-species spatially explicit abundance models


spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models


spOccupancy: An R package for single-species, multi-species, and integrated spatial occupancy models


speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition


speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment


spike: A tool to drizzle HST, JWST, and Roman PSFs for improved analyses


spsurv: An R package for semi-parametric survival analysis


sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems


sqlelf: a SQL-centric Approach to ELF Analysis


squishyplanet: Modeling Transits of Non-spherical Exoplanets in JAX


ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation


ssROC: Semi-Supervised ROC Analysis for Reliable and Streamlined Evaluation of Phenotyping Algorithms


ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation


stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement


stanhf: HistFactory models in the probabilistic programming language Stan


staq -- A full-stack quantum processing toolkit


stdgpu: Efficient STL-like Data Structures on the GPU


stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R


strategFTO: Untimed control for timed opacity


stream-learn -- open-source Python library for difficult data stream batch analysis


subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment


sunny-as2: Enhancing SUNNY for Algorithm Selection


superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities


surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests


sustain.AI: a Recommender System to analyze Sustainability Reports


svc: An R package for Spatially Varying Coefficient Models


swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials


syslrn: Learning What to Monitor for Efficient Anomaly Detection


t$|$ket$\rangle$ : A Retargetable Compiler for NISQ Devices


t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making


t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators


t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data


t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections


tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback


tBDFS: Temporal Graph Neural Network Leveraging DFS


tSF: Transformer-based Semantic Filter for Few-Shot Learning


tagE: Enabling an Embodied Agent to Understand Human Instructions


tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation


tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification


tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity


tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction


tda-segmentor: A tool to extract and analyze local structure and porosity features in porous materials


teMatDb: A High-Quality Thermoelectric Material Database with Self-Consistent ZT Filtering


tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs


tempdisagg: A Python Framework for Temporal Disaggregation of Time Series Data


testRNN: Coverage-guided Testing on Recurrent Neural Networks


textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior


textless-lib: a Library for Textless Spoken Language Processing


tieval: An Evaluation Framework for Temporal Information Extraction Systems


timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers


tinyLTE: Lightweight, Ad-Hoc Deployable Cellular Network for Vehicular Communication


tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning


tn4ml: Tensor Network Training and Customization for Machine Learning


tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)


tomoCAM: Fast Model-based Iterative Reconstruction via GPU Acceleration and Non-Uniform Fast Fourier Transforms


torchmfbd: a flexible multi-object multi-frame blind deconvolution code


torchode: A Parallel ODE Solver for PyTorch


torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python


tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure


tsbootstrap: Enhancing Time Series Analysis with Advanced Bootstrapping Techniques


tsflex: flexible time series processing & feature extraction


tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling


tūQ: a design and modelling tool for cluster-state algorithms


u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model


uBFT: Microsecond-scale BFT using Disaggregated Memory [Extended Version]


uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering


uGLAD: Sparse graph recovery by optimizing deep unrolled networks


uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images


uOttawa at LegalLens-2024: Transformer-based Classification Experiments


uSF: Learning Neural Semantic Field with Uncertainty


uTNT: Unikernels for Efficient and Flexible Internet Probing


uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?


uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures


udkm1Dsim -- A Python toolbox for simulating 1D ultrafast dynamics in condensed matter


unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features


unTimely: a Full-sky, Time-Domain unWISE Catalog


undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation


uniblock: Scoring and Filtering Corpus with Unicode Block Information


unyt: Handle, manipulate, and convert data with units in Python


using multiple losses for accurate facial age estimation


uxSense: Supporting User Experience Analysis with Visualization and Computer Vision


v-CLR: View-Consistent Learning for Open-World Instance Segmentation


vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention


vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition


vHeat: Building Vision Models upon Heat Conduction


vKompth: A variable Comptonisation model for low-frequency quasi-periodic oscillations in black-hole X-ray binaries


vMAP: Vectorised Object Mapping for Neural Field SLAM


vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter


vMFNet: Compositionality Meets Domain-generalised Segmentation


vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training


vailá: Versatile Anarcho Integrated Liberation Ánalysis in Multimodal Toolbox


varFEM: variational formulation based programming for finite element methods in Matlab


varRhoTurbVOF: a new set of volume of fluid solvers for turbulent isothermal multiphase flows in OpenFOAM


varbvs: Fast Variable Selection for Large-scale Regression


verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT


vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation


vid-TLDR: Training Free Token merging for Light-weight Video Transformer


video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models


video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model


vis-r: Quick radial profile modelling for radio interferometric visibilities


visClust: A visual clustering algorithm based on orthogonal projections


voc2vec: A Foundation Model for Non-Verbal Vocalization


von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning


votess: A multi-target, GPU-capable, parallel Voronoi tessellator


vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images


w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training


wCQ: A Fast Wait-Free Queue with Bounded Memory Usage


walk2friends: Inferring Social Links from Mobility Profiles


walter: A Tool for Predicting Resolved Stellar Population Observations with Applications to the Roman Space Telescope


wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech


wav2pos: Sound Source Localization using Masked Autoencoders


wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals


waveOrder: generalist framework for label-agnostic computational microscopy


waywiser: Ergonomic Methods for Assessing Spatial Models


wgatools: an ultrafast toolkit for manipulating whole genome alignments


wickop: Lattice Cubic Rotation Operator Generator


wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T


word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement


x-RAGE: eXtended Reality -- Action & Gesture Events Dataset


x3ogre: Connecting X3D to a state of the art rendering engine


xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer


xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics


xChemAgents: Agentic AI for Explainable Quantum Chemistry


xCos: An Explainable Cosine Metric for Face Verification Task


xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions


xDevSM: Streamlining xApp Development With a Flexible Framework for O-RAN E2 Service Models


xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark


xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links


xFLIE: Leveraging Actionable Hierarchical Scene Representations for Autonomous Semantic-Aware Inspection Missions


xFinder: Robust and Pinpoint Answer Extraction for Large Language Models


xFitter: An Open Source QCD Analysis Framework. A resource and reference document for the Snowmass study


xFraud: Explainable Fraud Transaction Detection


xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking


xKV: Cross-Layer SVD for KV-Cache Compression


xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories


xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart


xLSTMTime : Long-term Time Series Forecasting With xLSTM


xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization


xMLC -- A Toolkit for Machine Learning Control


xNeuSM: Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks


xPQA: Cross-Lingual Product Question Answering across 12 Languages


xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition


xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token


xSCYTE: Express Single-frame Cytometer through Tomographic Phase


xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability


xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models


xT: Nested Tokenization for Larger Context in Large Images


xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing


xVal: A Continuous Numerical Tokenization for Scientific Language Models


xVerify: Efficient Answer Verifier for Reasoning Model Evaluations


xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery


yosm: A new yoruba sentiment corpus for movie reviews


zBEAMS: A unified solution for supernova cosmology with redshift uncertainties


zbMATH Open: API Solutions and Research Challenges


zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training


zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits


zkLLM: Zero Knowledge Proofs for Large Language Models


zkMixer: A Configurable Zero-Knowledge Mixer with Anti-Money Laundering Consensus Protocols


zkTax: A pragmatic way to support zero-knowledge tax disclosures


zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing


zkay v0.2: Practical Data Privacy for Smart Contracts


zksk: A Library for Composable Zero-Knowledge Proofs


zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


{GSR4B}: Biomass Map Super-Resolution with Sentinel-1/2 Guidance


{\AE}GIS: Shielding Vulnerable Smart Contracts Against Attacks


{\tt RapidGBM}: An Efficient Tool for Fermi-GBM Visibility Checking and Data Analysis with a Case Study of EP240617a


{\tt ggxy}: a flexible library to compute gluon-induced cross sections


©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model


À la recherche du sens perdu: your favourite LLM might have more to say than you can understand


ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch


Élivágar: Efficient Quantum Circuit Search for Classification


ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus


ÐArcher: Detecting On-Chain-Off-Chain Synchronization Bugs in Decentralized Applications


ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution


ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution


ÚFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin


ænet-PyTorch: a GPU-supported implementation for machine learning atomic potentials training


ΔBreakpad: Diversified Binary Crash Reporting


Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer


α-Indirect Control in Onion-like Networks


ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning


μ-Bench: A Vision-Language Benchmark for Microscopy Understanding


ν-Flows: Conditional Neutrino Regression


π with leftovers: a mechanisation in Agda


σ-GPTs: A New Approach to Autoregressive Models


"Bilingual Expert" Can Find Translation Errors


"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors


"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding


"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms


"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations


"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility


"Quantum Equilibrium-Disequilibrium": Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons


#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning


$B$-meson anomalies and Higgs physics in flavored $U(1)'$ model


$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild


$NΩ$ dibaryon from lattice QCD near the physical point


$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering


$\ell_0$-based Sparse Canonical Correlation Analysis


$\mathcal{E}\text{psolute}$: Efficiently Querying Databases While Providing Differential Privacy


$\mathcal{L}_1$Quad: $\mathcal{L}_1$ Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees


$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency


$\texttt{pySYD}$: Automated measurements of global asteroseismic parameters


${\tt bajes}$: Bayesian inference of multimessenger astrophysical data, methods and application to gravitational-waves


$Π-$nets: Deep Polynomial Neural Networks


$κ$TNG: Effect of Baryonic Processes on Weak Lensing with IllustrisTNG Simulations


$λ$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space


$μ$LO: Compute-Efficient Meta-Generalization of Learned Optimizers


(Non)-neutrality of science and algorithms: Machine Learning between fundamental physics and society


(Yet) Another Theoretical Model of Thinking


(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs


0-Step Capturability, Motion Decomposition and Global Feedback Control of the 3D Variable Height-Inverted Pendulum


0.52 V-mm ITO-based Mach-Zehnder Modulator in Silicon Photonics


10-mega pixel snapshot compressive imaging with a hybrid coded aperture


10^(10^6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information


11K Hands: Gender recognition and biometric identification using a large dataset of hand images


12-in-1: Multi-Task Vision and Language Representation Learning


1st Place Solution to Google Landmark Retrieval 2020


1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track


2-adjoint equivalences in homotopy type theory


21 cm cosmology and spin temperature reduction via spin-dependent dark matter interactions


2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning


2HDMC - Two-Higgs-Doublet Model Calculator


2MASS J10274572+0629104: The very short period young M6 Dwarf Binary System identified in K2 data


2QAN: A quantum compiler for 2-local qubit Hamiltonian simulation algorithms


2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track


3-omega method for thermal properties of thin film multilayers


360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View


360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume


3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes


3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams


3D CNN with Localized Residual Connections for Hyperspectral Image Classification


3D Deep Learning on Medical Images: A Review


3D Fully Convolutional Network for Vehicle Detection in Point Cloud


3D Hand Shape and Pose from Images in the Wild


3D Human Body Reshaping with Anthropometric Modeling


3D Human Pose Machines with Self-supervised Learning


3D Interface Models for Rayleigh-Taylor Problems


3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization


3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions


3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera


3D Shape Generation and Completion through Point-Voxel Diffusion


3D Shape Segmentation with Projective Convolutional Networks


3D ShapeNets: A Deep Representation for Volumetric Shapes


3D Spatial Recognition without Spatially Labeled 3D


3D Tensor-based Deep Learning Models for Predicting Option Price


3D maps of interstellar dust in the Local Arm: using $Gaia$, 2MASS and APOGEE-DR14


3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection


3D-OGSE: Online Safe and Smooth Trajectory Generation using Generalized Shape Expansion in Unknown 3-D Environments


3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations


3D-Rotation-Equivariant Quaternion Neural Networks


3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment


3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset


3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification


3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting


3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection


3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design


3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation


3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks


3DSSD: Point-based 3D Single Stage Object Detector


3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models


3rd Place Solution to "Google Landmark Retrieval 2020"


4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks


4D-Net for Learned Multi-Modal Alignment


5-qubit quantum error correction in a charge qubit quantum computer


5G-Flow: Flexible and Efficient 5G RAN Architecture Using OpenFlow


6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference


A 0.086-mm$^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS


A 2-$μ$J, 12-class, 91% Accuracy Spiking Neural Network Approach For Radar Gesture Recognition


A 20-Liter Test Stand with Gas Purification for Liquid Argon Research


A 3D GAN for Improved Large-pose Facial Recognition


A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs


A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones


A 96 GeV Higgs boson in the general NMSSM


A BERT Baseline for the Natural Questions


A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media


A Backtracking-Based Algorithm for Computing Hypertree-Decompositions


A Baseline Statistical Method For Robust User-Assisted Multiple Segmentation


A Bayesian Approach to Matching Thermonuclear X-ray Burst Observations with Models


A Bayesian Approach to Triaxial Strain Tomography from High-energy X-ray Diffraction


A Bayesian Multilingual Document Model for Zero-shot Topic Identification and Discovery


A Bayesian Perspective on the Deep Image Prior


A Bayesian length-based population dynamics model for northern shrimp (Pandalus Borealis)


A Beginner's Guide to Working with Astronomical Data


A Benchmark Study of Machine Learning Models for Online Fake News Detection


A Benchmark for Interpretability Methods in Deep Neural Networks


A Benchmark on Uncertainty Quantification for Deep Learning Prognostics


A Benchmarking of DCM Based Architectures for Position and Velocity Controlled Walking of Humanoid Robots


A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling


A Bilingual Generative Transformer for Semantic Sentence Embedding


A Binary Optimization Approach for Constrained K-Means Clustering


A Biologically Plausible Learning Rule for Deep Learning in the Brain


A Bird's Eye View of Nonlinear System Identification


A Bit Too Much? High Speed Imaging from Sparse Photon Counts


A Block-Based Triangle Counting Algorithm on Heterogeneous Environments


A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking


A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus


A Boolean Task Algebra for Reinforcement Learning


A Bootstrap-based Method for Testing Network Similarity


A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors


A Brief History of Excitable Map-Based Neurons and Neural Networks


A Brief Introduction to Machine Learning for Engineers


A Brief Review of Nature-Inspired Algorithms for Optimization


A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques


A Broader Study of Cross-Domain Few-Shot Learning


A C Code Generator for Fast Inference and Simple Deployment of Convolutional Neural Networks on Resource Constrained Systems


A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction


A Call for Clarity in Reporting BLEU Scores


A Case for Rejection in Low Resource ML Deployment


A Catalog of Bipolar Active Regions Violating the Hale Polarity Law, 1989-2018


A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn


A Century of Controversy over the Foundations of Mathematics


A Chance Constraint Predictive Control and Estimation Framework for Spacecraft Descent with Field Of View Constraints


A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores


A Characteristic Mapping Method for the three-dimensional incompressible Euler equations


A Characterization of Guesswork on Swiftly Tilting Curves


A Classification for Community Discovery Methods in Complex Networks


A Closely-Packed System of Low-Mass, Low-Density Planets Transiting Kepler-11


A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision


A Closer Look at Memorization in Deep Networks


A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints


A Compact Embedding for Facial Expression Similarity


A Comparative Study of Adaptive Crossover Operators for Genetic Algorithms to Resolve the Traveling Salesman Problem


A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm


A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine


A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization


A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment


A Comparative Study on Transformer vs RNN in Speech Applications


A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling


A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions


A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling


A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition


A Comparison of Word Embeddings for the Biomedical Natural Language Processing


A Complete Analytic Gravitational Wave Model for Undergraduates


A Compositional Object-Based Approach to Learning Physical Dynamics


A Comprehensive Review of Image Enhancement Techniques


A Comprehensive Scan for Heterotic SU(5) GUT models


A Comprehensive Study on Temporal Modeling for Online Action Detection


A Comprehensive Survey on Pose-Invariant Face Recognition


A Computational Investigation on Denominalization


A Computational Model of Early Word Learning from the Infant's Point of View


A Computationally Efficient Approach for Calculating Galaxy Two-Point Correlations


A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning


A Conditional Adversarial Network for Scene Flow Estimation


A Connectedness Constraint for Learning Sparse Graphs


A Consistent Bayesian Formulation for Stochastic Inverse Problems Based on Push-forward Measures


A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias


A Construction for Difference Sets with Local Properties


A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms


A Content Transformation Block For Image Style Transfer


A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization


A Convolutional Approach to Melody Line Identification in Symbolic Scores


A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies


A Convolutional Transformation Network for Malware Classification


A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness


A Correlation Based Feature Representation for First-Person Activity Recognition


A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans


A Crowd-Annotated Spanish Corpus for Humor Analysis


A Curated Dataset of Urban Scenes for Audio-Visual Scene Analysis


A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network


A Dark Matter Hurricane: Measuring the S1 Stream with Dark Matter Detectors


A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design


A Data-Oriented Model of Literary Language


A Decentralized Communication Policy for Multi Agent Multi Armed Bandit Problems


A Deep Dive into Conflict Generating Decisions


A Deep Framework for Cross-Domain and Cross-System Recommendations


A Deep Generative Model for Graph Layout


A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification


A Deep Learning Approach for Automatic Detection of Fake News


A Deep Learning Approach to Block-based Compressed Sensing of Images


A Deep Learning Approach to Grasping the Invisible


A Deep Learning Approach to Quasar Continuum Prediction


A Deep Learning-Based Approach for Measuring the Domain Similarity of Persian Texts


A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance


A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems


A Deep Neural Model Of Emotion Appraisal


A Deep Neuro-Fuzzy Network for Image Classification


A Deep Reinforcement Learning Approach for Global Routing


A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism


A Deep-Learning-Based Fashion Attributes Detection Model


A Density Matrix-based Algorithm for Solving Eigenvalue Problems


A Dependently Typed Multi-Stage Calculus


A Derivation of the Pythagorean Won-Loss Formula in Baseball


A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA


A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph


A Diagrammatic Calculus for Algebraic Effects


A Differentiable Recurrent Surface for Asynchronous Event-Based Data


A Differential Measurement of Circumstellar Extinction for AA Tau's 2011 Dimming Event


A Differential Privacy Mechanism Design Under Matrix-Valued Query


A Differentially Private Kernel Two-Sample Test


A Discrete Representation of Einstein's Geometric Theory of Gravitation: The Fundamental Role of Dual Tessellations in Regge Calculus


A Discrete and Bounded Envy-Free Cake Cutting Protocol for Any Number of Agents


A Distributed Trust Framework for Privacy-Preserving Machine Learning


A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models


A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images


A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance


A Dual Approach to Scalable Verification of Deep Networks


A Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue Modeling


A Dual Iterative Refinement Method for Non-rigid Shape Matching


A Dynamic Elimination-Combining Stack Algorithm


A Dynamic Reduction Network for Point Clouds


A Dynamic Trajectory Fit to Multi-Sensor Fireball Observations


A Fair Comparison of Graph Neural Networks for Graph Classification


A Family of Rank Similarity Measures based on Maximized Effectiveness Difference


A Fast Apparent-Horizon Finder for 3-Dimensional Cartesian Grids in Numerical Relativity


A Fast Heuristic Algorithm Based on Verification and Elimination Methods for Maximum Clique Problem


A Fast Hybrid Cascade Network for Voxel-based 3D Object Classification


A Fast Iterative Algorithm for High-dimensional Differential Network


A Fast MCMC for the Uniform Sampling of Binary Matrices with Fixed Margins


A Fast Projected Fixed-Point Algorithm for Large Graph Matching


A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning


A Fast Proximal Point Method for Computing Exact Wasserstein Distance


A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants


A Fast and Accurate Unconstrained Face Detector


A Fast and Provable Method for Estimating Clique Counts Using Turán's Theorem


A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models


A Federated Data-Driven Evolutionary Algorithm


A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization


A Finnish News Corpus for Named Entity Recognition


A First Look at Deep Learning Apps on Smartphones


A First Look on 3D Effects in Open Axion Haloscopes


A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans


A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models


A Flexible Neural Renderer for Material Visualization


A Flexible Storage Model for Power Network Optimization


A Flexible System for Automatic Quality Control of Oceanographic Data


A Forecasting System of Computational Time of DFT/TDDFT Calculations under the Multiverse ansatz via Machine Learning and Cheminformatics


A Formal Causal Interpretation of the Case-Crossover Design


A Formalization for Specifying and Implementing Correct Pull-Stream Modules


A Fourth-Generation High-Dimensional Neural Network Potential with Accurate Electrostatics Including Non-local Charge Transfer


A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation


A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning


A Framework for Evaluating 6-DOF Object Trackers


A Framework for Neural Topic Modeling of Text Corpora


A Framework for Practical Parallel Fast Matrix Multiplication


A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks


A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks


A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection


A Fully Differentiable Beam Search Decoder


A Functional Representation for Graph Matching


A Fusion Approach for Multi-Frame Optical Flow Estimation


A GPU-accelerated simulator for the DEM analysis of granular systems composed of clump-shaped elements


A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition


A Gaia DR2 view of the Open Cluster population in the Milky Way


A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition


A Gaze Data-based Comparative Study to Build a Trustworthy Human-AI Collaboration in Crash Anticipation


A General Approach for Using Deep Neural Network for Digital Watermarking


A General Approach to Adding Differential Privacy to Iterative Training Procedures


A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs


A General Framework for Gradient-Based Optimization of Superconducting Quantum Circuits using Qubit Discovery as a Case Study


A General Framework for Survival Analysis and Multi-State Modelling


A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness


A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems


A General Path-Based Representation for Predicting Program Properties


A Generalization of Spatial Monte Carlo Integration


A Generalized EigenGame with Extensions to Multiview Representation Learning


A Generalized Language Model in Tensor Space


A Generalized Unbiased Risk Estimator for Learning with Augmented Classes


A Generative Appearance Model for End-to-end Video Object Segmentation


A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions


A Generative Model of People in Clothing


A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing


A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network


A Geometric Approach For Fully Automatic Chromosome Segmentation


A Geometric Approach to Confidence Regions and Bands for Functional Parameters


A Global Survey of EUV Corona Power Spectra


A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion


A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion


A Graph Joining Greedy Approach to Binary de Bruijn Sequences


A Graphical Approach to Document Layout Analysis


A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks


A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation


A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs


A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users


A Hierarchical Approach to exploiting Multiple Datasets from TalkBank


A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection


A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks


A Hierarchical Recurrent Neural Network for Symbolic Melody Generation


A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer


A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization


A High-Quality Multilingual Dataset for Structured Documentation Translation


A Higher Order Perturbative Parton Evolution Toolkit (HOPPET)


A Highly Parallel FPGA Implementation of Sparse Neural Network Training


A Hitchhiker's Guide to Automatic Differentiation


A Holistic Representation Guided Attention Network for Scene Text Recognition


A Human-Computer Interface Design for Quantitative Measure of Regret Theory


A Hybrid Approach For Hindi-English Machine Translation


A Hybrid Approach To Hierarchical Density-based Cluster Selection


A Hybrid Compact Neural Architecture for Visual Place Recognition


A Hybrid Model for Role-related User Classification on Twitter


A Hybrid Quantum-Classical CFD Methodology with Benchmark HHL Solutions


A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer


A Java Math.BigDecimal Implementation of Core Mathematical Functions


A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition


A Joint Sequence Fusion Model for Video Question Answering and Retrieval


A Joint-Chirp-Rate-Time-Frequency Transform for BBH Merger Gravitational Wave Signal Detection


A Kinematic Evolution Equation for the Dynamic Contact Angle and some Consequences


A Kinematic Model for Trajectory Prediction in General Highway Scenarios


A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis


A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation


A Large Scale Event-based Detection Dataset for Automotive


A Large-scale Dataset and Benchmark for Similar Trademark Retrieval


A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability


A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites


A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization


A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors


A Layered Aggregate Engine for Analytics Workloads


A Lazy Approach for Efficient Index Learning


A Leak-Resilient Dual Stack Scheme for Backward-Edge Control-Flow Integrity


A Library for Representing Python Programs as Graphs for Machine Learning


A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal


A Linearly Convergent Algorithm for Distributed Principal Component Analysis


A Linearly-Convergent Stochastic L-BFGS Algorithm


A Literature Study of Embeddings on Source Code


A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model


A Locally Adaptive Interpretable Regression


A Long-term study of three rotating radio transients


A Low Dimensionality Representation for Language Variety Identification


A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents


A Machine Learning Approach for Power Allocation in HetNets Considering QoS


A Machine Learning Approach for Virtual Flow Metering and Forecasting


A Machine Learning Approach to Correcting Atmospheric Seeing in Solar Flare Observations


A Machine Learning Classifier for Microlensing in Wide-Field Surveys


A Machine Learning Framework to Forecast Wave Conditions


A Markovian Incremental Stochastic Subgradient Algorithm


A Mathematical Analysis of an Election System Proposed by Gottlob Frege


A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler


A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes


A Matrix-in-matrix Neural Network for Image Super Resolution


A Memory-Network Based Solution for Multivariate Time-Series Forecasting


A Mesoscale Perspective on the Tolman Length


A Meta-Learning Approach to Bayesian Causal Discovery


A Meta-Learning Framework for Generalized Zero-Shot Learning


A Method for Analysis of Patient Speech in Dialogue for Dementia Detection


A Method of Moments for Mixture Models and Hidden Markov Models


A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines


A Minimalistic Approach to Segregation in Robot Swarms


A Minimax Approach to Supervised Learning


A Model for Thermal Phase Variations of Circular and Eccentric Exoplanets


A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty


A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos


A Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes


A Monte Carlo Template based analysis for Air-Cherenkov Arrays


A More Efficient, Doubly Robust, Nonparametric Estimator of Treatment Effects in Multilevel Studies


A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning


A Multi-Hypothesis Approach to Color Constancy


A Multi-Implicit Neural Representation for Fonts


A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts


A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking


A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis


A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wild


A MultiPath Network for Object Detection


A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm


A Multilingual Parallel Corpora Collection Effort for Indian Languages


A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model


A Multimodal Supervised Machine Learning Approach for Satellite-based Wildfire Identification in Europe


A Multistage Distributionally Robust Optimization Approach to Water Allocation under Climate Uncertainty


A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle


A Near-Term Quantum Computing Approach for Hard Computational Problems in Space Exploration


A Net Energy-based Analysis for a Climate-constrained Sustainable Energy Transition


A Neural Approach to Blind Motion Deblurring


A Neural Autoregressive Approach to Collaborative Filtering


A Neural Compositional Paradigm for Image Captioning


A Neural Corpus Indexer for Document Retrieval


A Neural Influence Diffusion Model for Social Recommendation


A Neural Model for Generating Natural Language Summaries of Program Subroutines


A New Interpolation Approach and Corresponding Instance-Based Learning


A New Lower Bound for the Distinct Distance Constant


A New Method for Wide-Field Near-IR Imaging with the Hubble Space Telescope


A New Method in the Problem of Three Cubes


A New PAC-Bayesian Perspective on Domain Adaptation


A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation


A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering


A Note on Elementary Cellular Automata Classification


A Note on Integer Factorization Using Lattices


A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans


A Novel Approach for Image Segmentation based on Histograms computed from Hue-data


A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis


A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling


A Novel Chaos Theory Inspired Neuronal Architecture


A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake


A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers


A Novel Meta-Heuristic Optimization Algorithm Inspired by the Spread of Viruses


A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset


A Numerical Relativity Waveform Surrogate Model for Generically Precessing Binary Black Hole Mergers


A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons


A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent


A Package for the Automated Classification of Periodic Variable Stars


A Parallel Batch-Dynamic Data Structure for the Closest Pair Problem


A Parallel Min-Cut Algorithm using Iteratively Reweighted Least Squares


A Parallel Trajectory Swapping Wang - Landau Study Of The HP Protein Model


A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data


A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification


A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws


A Perceptual Quality Assessment Exploration for AIGC Images


A Permutation-free Kernel Two-Sample Test


A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution


A Persona-Based Neural Conversation Model


A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge


A Physics-informed data reconciliation framework for real-time electricity and emissions tracking


A Plug&Play P300 BCI Using Information Geometry


A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography


A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets


A Policy Driven AI-Assisted PoW Framework


A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks


A Positive Resampler for Monte Carlo Events with Negative Weights


A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards


A Preliminary Study of Neural Network-based Approximation for HPC Applications


A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL


A Primer on the Differential Calculus of 3D Orientations


A Primer on the Signature Method in Machine Learning


A Principled Approach to GraphQL Query Cost Analysis


A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models


A Probabilistic Framework for Knowledge Graph Data Augmentation


A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss Function


A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling


A Probabilistic State Space Model for Joint Inference from Differential Equations and Data


A Probabilistic framework for Quantum Clustering


A Projection Method for Metric-Constrained Optimization


A Provably Convergent Information Bottleneck Solution via ADMM


A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications


A Prym variety with everywhere good reduction over $\mathbb{Q}(\sqrt{61})$


A Pyramid CNN for Dense-Leaves Segmentation


A Pólya-Gamma Sampler for a Generalized Logistic Regression


A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint


A Quantitative Analytical Model for Predicting and Optimizing the Rate Performance of Battery Cells


A Quantization-Friendly Separable Convolution for MobileNets


A Quantum Algorithm for Solving Linear Differential Equations: Theory and Experiment


A Quantum Generative Adversarial Network for distributions


A Quantum Many-body Wave Function Inspired Language Modeling Approach


A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application


A Rate-Distortion Framework for Explaining Neural Network Decisions


A Re-visit of the Popularity Baseline in Recommender Systems


A Real-Time Deep Network for Crowd Counting


A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet


A Recurrent Graph Neural Network for Multi-Relational Data


A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks


A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition


A Regularized Wasserstein Framework for Graph Kernels


A Reinforced Generation of Adversarial Examples for Neural Machine Translation


A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems


A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex


A Review for Weighted MinHash Algorithms


A Review of Different Word Embeddings for Sentiment Classification using Deep Learning


A Review of Testing Object-Based Environment Perception for Safe Automated Driving


A Richly Annotated Dataset for Pedestrian Attribute Recognition


A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams


A Right Invariant Extended Kalman Filter for Object based SLAM


A Robust Accelerated Optimization Algorithm for Strongly Convex Functions


A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood


A Robust Hybrid Approach for Textual Document Classification


A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector


A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging


A SVBRDF Modeling Pipeline using Pixel Clustering


A Search Algorithm for Simplicial Complexes


A Self Validation Network for Object-Level Human Attention Estimation


A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning


A Self-explaining Neural Architecture for Generalizable Concept Learning


A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation


A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications


A Semantic-based Method for Unsupervised Commonsense Question Answering


A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network


A Semi-Supervised Approach for Low-Resourced Text Generation


A Semi-supervised Graph Attentive Network for Financial Fraud Detection


A Semismooth Newton Method for Fast, Generic Convex Programming


A Semismooth Newton based Augmented Lagrangian Method for Nonsmooth Optimization on Matrix Manifolds


A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis


A Short Note on Proximity-based Scoring of Documents with Multiple Fields


A Short Note on the Kinetics-700-2020 Human Action Dataset


A Short Review of Ethical Challenges in Clinical Natural Language Processing


A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification


A Simple Parameterization of the Cosmic-Ray Muon Momentum Spectra at the Surface as a Function of Zenith Angle


A Simple Proof of Cauchy's Surface Area Formula


A Simple Traffic Signal Control Using Queue Length Information


A Simple Way to Initialize Recurrent Networks of Rectified Linear Units


A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection


A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation


A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time


A Simulated Annealing Approach to Approximate Bayes Computations


A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards


A Singular Value Thresholding Algorithm for Matrix Completion


A Sink-driven Approach to Detecting Exposed Component Vulnerabilities in Android Apps


A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition


A Small Quantum Computer is Needed to Optimize Fault-Tolerant Protocols


A Smartphone enabled Approach to Manage COVID-19 Lockdown and Economic Crisis


A Smoothed Dual Approach for Variational Wasserstein Problems


A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks


A Solution to Product detection in Densely Packed Scenes


A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems


A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis


A Spatially Discrete Approximation to Log-Gaussian Cox Processes for Modelling Aggregated Disease Count Data


A Spectral Approach to Optimal Control of the Fokker-Planck Equation


A Spectral Energy Distance for Parallel Speech Synthesis


A State-Space Modeling Framework for Engineering Blockchain-Enabled Economic Systems


A Stationary Kyle Setup: Microfounding propagator models


A Statistical Approach to Adult Census Income Level Prediction


A Statistical Comparison of Some Theories of NP Word Order


A Step by Step Mathematical Derivation and Tutorial on Kalman Filters


A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations


A Strategic Routing Framework and Algorithms for Computing Alternative Paths


A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows


A Studious Approach to Semi-Supervised Learning


A Study of Genetic Algorithms for Hyperparameter Optimization of Neural Networks in Machine Translation


A Study of Network Congestion in Two Supercomputing High-Speed Interconnects


A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting


A Study on Wrist Identification for Forensic Investigation


A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer


A Supervised Learning Approach to Rankability


A Survey On Universal Adversarial Attack


A Survey and Experimental Analysis of Distributed Subgraph Matching


A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation


A Survey of Distributed Data Aggregation Algorithms


A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances


A Survey of Ocean Simulation and Rendering Techniques in Computer Graphics


A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit


A Survey of Published Attacks on Intel SGX


A Survey of Symbolic Execution Techniques


A Survey on Contextual Multi-armed Bandits


A Survey on Deep Learning for Human Mobility


A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion


A Survey on Large-scale Machine Learning


A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization


A Survey on Machine Learning Algorithms for Applications in Cognitive Radio Networks


A Survey on Varieties Generated by Small Semigroups and a Companion Website


A Survey on Zero Knowledge Range Proofs and Applications


A Symbolic Approach to the Design of Nonlinear Networked Control Systems


A System for Induction of Oblique Decision Trees


A System for Precise End-to-End Delay Measurements in Video Communication


A Systematic Approach to Blocking Convolutional Neural Networks


A Systematic Review of Reproducibility Research in Natural Language Processing


A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks


A Tailored Pre-Training Model for Task-Oriented Dialog Generation


A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks


A Temporally Sensitive Submodularity Framework for Timeline Summarization


A Time Series is Worth 64 Words: Long-term Forecasting with Transformers


A Tool for Custom Construction of QMC and RQMC Point Sets


A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure


A Topic-Agnostic Approach for Identifying Fake News Pages


A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology


A Tour of Reinforcement Learning: The View from Continuous Control


A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction


A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)


A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning


A Transformer-based deep neural network model for SSVEP classification


A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis


A Tree Search Algorithm for Sequence Labeling


A Truncated Newton Method for Optimal Transport


A Trust Architecture for Blockchain in IoT


A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers


A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs


A Tutorial on the Implementation of Ad-hoc On Demand Distance Vector (AODV) Protocol in Network Simulator (NS-2)


A Twofold Siamese Network for Real-Time Object Tracking


A Type System for proving Depth Boundedness in the pi-calculus


A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints


A Unified Calibration Framework for 21 cm Cosmology


A Unified Framework for Domain Adaptation using Metric Learning on Manifolds


A Unified Framework for Generalizable Style Transfer: Style and Content Separation


A Unified Framework for Random Forest Prediction Error Estimation


A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology


A Unified Joint Matrix Factorization Framework for Data Integration


A Unified Model with Structured Output for Fashion Images Classification


A Unified Objective for Novel Class Discovery


A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data


A Unified Successive Pseudo-Convex Approximation Framework


A Unified Transferable Model for ML-Enhanced DBMS


A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation


A Unifying Framework for Parallel and Distributed Processing in R using Futures


A Universal Bijection for Catalan Structures


A Universal Framework for Featurization of Atomistic Systems


A Universal Training Algorithm for Quantum Deep Learning


A User Modeling Pipeline for Studying Polarized Political Events in Social Media


A Variable Splitting Augmented Lagrangian Approach to Linear Spectral Unmixing


A Verified Architecture for Proofs of Execution on Remote Devices under Full Software Compromise


A Verified Optimizer for Quantum Circuits


A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation


A Visual Analytics Framework for Reviewing Streaming Performance Data


A Visual Attention Grounding Neural Model for Multimodal Machine Translation


A Vortex Filament Tracking Method for the Gross-Pitaevskii Model of a Superfluid


A Warm Restart Strategy for Solving Sudoku by Sparse Optimization Methods


A Watermark-Conditioned Diffusion Model for IP Protection


A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities


A Weighted Mutual k-Nearest Neighbour for Classification Mining


A Workflow for Offline Model-Free Robotic Reinforcement Learning


A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions


A Zero-Shot Framework for Sketch-based Image Retrieval


A baseline for unsupervised advanced persistent threat detection in system-level provenance


A bibliometric study of research topics, collaboration and influence in the field of the Iterated Prisoner's Dilemma


A biologically plausible neural network for multi-channel Canonical Correlation Analysis


A brief introductory guide to TLUSTY and SYNSPEC


A brief overview of swarm intelligence-based algorithms for numerical association rule mining


A case study of hurdle and generalized additive models in astronomy: the escape of ionizing radiation


A causal framework for distribution generalization


A characterization of tightly triangulated 3-manifolds


A chemical bonding based descriptor for predicting the impact of quantum nuclear and anharmonic effects on hydrogen-based superconductors


A collimated beam projector for precise telescope calibration


A colour scheme for the display of astronomical intensity images


A common variable minimax theorem for graphs


A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics


A comparative tour through the simulation algorithms for max-stable processes


A comparison of period finding algorithms


A complete algebraic reduction of one-loop tensor Feynman integrals


A complex network analysis of the Comprehensive R Archive Network (CRAN) package ecosystem


A comprehensive framework for occluded human pose estimation


A compressive spectral collocation method for the diffusion equation under the restricted isometry property


A computable realization of Ruelle's formula for linear response of statistics in chaotic systems


A computational geometry approach for modeling neuronal fiber pathways


A computer code for calculations in the algebraic collective model of the atomic nucleus


A computerised classification of some almost minimal triangle-free Ramsey graphs


A context sensitive real-time Spell Checker with language adaptability


A continual learning survey: Defying forgetting in classification tasks


A continuum limit for the PageRank algorithm


A convex relaxation to compute the nearest structured rank deficient matrix


A cross-center smoothness prior for variational Bayesian brain tissue segmentation


A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering


A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources


A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging


A deep learning-based remaining useful life prediction approach for bearings


A dense subgraph based algorithm for compact salient image region detection


A distributed simulation framework for quantum networks and channels


A energy-based interaction model for population opinion dynamics with topic coupling


A fast Monte Carlo algorithm for site or bond percolation


A fast algorithm for Earth Mover's Distance based on optimal transport and L1 type Regularization


A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics


A fast and accurate algorithm for inferring sparse Ising models via parameters activation to maximize the pseudo-likelihood


A fast approach to optimal transport: The back-and-forth method


A fast model based on muffin-tin approximation to study charge transfer effects in time-dependent quantum transport simulations: doped Si-SiO2 quantum-dot systems


A fast sparse spectral method for nonlinear integro-differential Volterra equations with general kernels


A feature agnostic approach for glaucoma detection in OCT volumes


A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field


A fingerprint based crypto-biometric system for secure communication


A finite element implementation of surface elasticity at finite strains using the deal.II library


A finite element method for the Monge--Ampère equation with transport boundary conditions


A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays


A flexible forecasting model for production systems


A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data


A fluctuating boundary integral method for Brownian suspensions


A framework for planet detection with faint lightcurve echoes


A framework for scale-sensitive, spatially explicit accuracy assessment of binary built-up surface layers


A fully automatic problem solver with human-style output


A functorial Dowker theorem and persistent homology of asymmetric networks


A general purpose algorithm for counting simple cycles and simple paths of any length


A generalizable approach for multi-view 3D human pose regression


A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology


A generalized Bayesian framework for the analysis of subscription based businesses


A generalized formulation for vehicle routing problems


A generic adaptive restart scheme with applications to saddle point algorithms


A genetic algorithm approach to fitting interferometric data of post-AGB objects: I. the case of the Ant nebula


A geometric distance measurement to the Galactic Center black hole with 0.3% uncertainty


A geometry-inspired decision-based attack


A global analysis strategy to resolve neutrino NSI degeneracies with scattering and oscillation data


A goodness-of-fit test for the functional linear model with functional response


A graph-based formulation for modeling macro-energy systems


A hierarchical Bayesian model for predicting ecological interactions using evolutionary relationships


A hierarchical approach for modelling X-ray beamlines. Application to a coherent beamline


A hierarchical model of non-homogeneous Poisson processes for Twitter retweets


A human factors approach to validating driver models for interaction-aware automated vehicles


A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision


A hybrid deep-learning-metaheuristic framework for bi-level network design problems


A knitting algorithm for calculating Green functions in quantum systems


A large annotated corpus for learning natural language inference


A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications


A latent factor model with a mixture of sparse and dense factors to model gene expression data with confounding effects


A layered multiple importance sampling scheme for focused optimal Bayesian experimental design


A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs


A least-squares functional for joint exit wave reconstruction and image registration


A linear program for testing nonclassicality and an open-source implementation


A machine learning framework for computationally expensive transient models


A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis


A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models


A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging


A mathematical model for thermal single-phase flow and reactive transport in fractured porous media


A mathematical theory of semantic development in deep neural networks


A matrix-free Levenberg-Marquardt algorithm for efficient ptychographic phase retrieval


A matrix-free approach for finite-strain hyperelastic problems using geometric multigrid


A matrix-inverse-free implementation of the MU-MIMO WMMSE beamforming algorithm


A method for generating coherent spatially explicit maps of seasonal palaeoclimates from site-based reconstructions


A method for unbounded verification of privacy-type properties


A microscopic perspective on heterogeneous catalysis


A minimax near-optimal algorithm for adaptive rejection sampling


A model for the interaction of high-energy particles in straight and bent crystals implemented in Geant4


A model of diffuse Galactic Radio Emission from 10 MHz to 100 GHz


A modeling framework for coupling plasticity with species diffusion


A more Pragmatic Implementation of the Lock-free, Ordered, Linked List


A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering(RATEC)


A multi-layer reduced model for flow in porous media with a fault and surrounding damage zones


A multi-layered energy consumption model for smart wireless acoustic sensor networks


A multinomial probabilistic model for movie genre predictions


A multiscale neural network based on hierarchical matrices


A multiscale neural network based on hierarchical nested bases


A new dataset and model for learning to understand navigational instructions


A new eye segmentation method based on improved U2Net in TCM eye diagnosis


A new family of Constitutive Artificial Neural Networks towards automated model discovery


A new generalization of edge overlap to weighted networks


A new method for detecting velocity shifts and distortions between optical spectra


A new open source software for the calculation of the liquid junction potential between two solutions according to the stationary Nernst-Planck equation


A new paradigm for accelerating clinical data science at Stanford Medicine


A new public Alsat-2B dataset for single-image super-resolution


A new quantum ripple-carry addition circuit


A new tool for two-dimensional field-reversed configuration equilibrium study


A new way to constrain the densities of intra-group medium in groups of galaxies with convolutional neural networks


A nonlocal feature-driven exemplar-based approach for image inpainting


A novel multimodal approach for hybrid brain-computer interface


A novel sampling theorem on the rotation group


A numerical measure of the instability of Mapper-type algorithms


A parallel non-uniform fast Fourier transform library based on an "exponential of semicircle" kernel


A parameter-free, solid-angle based, nearest-neighbor algorithm


A pattern recognition algorithm for quantum annealers


A pedestrian level strategy to minimize outdoor sunlight exposure in hot summer


A persistence landscapes toolbox for topological statistics


A perspective on multi-agent communication for information fusion


A physical model of the broadband continuum of AGN and its implications for the UV/X relation and optical variability


A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction


A planetary system around the nearby M dwarf Gl 357 including a transiting hot Earth-sized planet optimal for atmospheric characterisation


A post-quantum key exchange protocol from the intersection of quadric surfaces


A practical guide and software for analysing pairwise comparison experiments


A practical guide to stochastic simulations of reaction-diffusion processes


A practical index for approximate dictionary matching with few mismatches


A predictive model for Covid-19 spread applied to eight US states


A presmoothing approach for estimation in semiparametric mixture cure models


A prognostic dynamic model applicable to infectious diseases providing easily visualized guides -- A case study of COVID-19 in the UK


A quantum algorithm for high energy physics simulations


A real-space method for highly parallelizable electronic transport calculations


A revised moving cluster distance to the Pleiades open cluster


A sample approach to the estimation of the critical parameters of the SARS-CoV-2 epidemics: an operational design


A scalable and efficient convolutional neural network accelerator using HLS for a System on Chip design


A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification


A search for multi-planet systems with TESS using a Bayesian N-body retrieval and machine learning


A search of the full six years of the Dark Energy Survey for outer Solar System objects


A semi-agnostic ansatz with variable structure for quantum machine learning


A semi-small decomposition of the Chow ring of a matroid


A signature-based machine learning model for bipolar disorder and borderline personality disorder


A simple Newton method for local nonsmooth optimization


A simple algorithm to find the L-curve corner in the regularization of inverse problems


A simple and efficient algorithm for computing the Baker-Campbell-Hausdorff series


A simple and efficient numerical procedure to compute the inverse Langevin function with high accuracy


A simple embedded discrete fracture-matrix model for a coupled flow and transport problem in porous media


A simple field function for solving complex and dynamic fluid-solid system on Cartesian grid


A simple history dependent remeshing technique to increase finite element model stability in elastic surface deformations


A simple method to measure numax for asteroseismology: application to 16,000 oscillating Kepler red giants


A simple, efficient and scalable contrastive masked autoencoder for learning visual representations


A single-domain spectral method for black hole puncture data


A small-step approach to multi-trace checking against interactions


A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust


A sparse decomposition of low rank symmetric positive semi-definite matrices


A statistical test for Nested Sampling algorithms


A strategy for finding people infected with SARS-CoV-2: optimizing pooled testing at low prevalence


A structured matrix factorization framework for large scale calcium imaging data analysis


A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers


A survey of loss functions for semantic segmentation


A swarm optimization algorithm inspired in the behavior of the social-spider


A systematic review of Python packages for time series analysis


A systematic study of the class imbalance problem in convolutional neural networks


A table of boundary slopes of Montesinos knots


A tail-regression estimator for heavy-tailed distributions of known tail indices and its application to continuum quantum Monte Carlo data


A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns


A three-dimensional domain decomposition method for large-scale DFT electronic structure calculations


A time- and space-optimal algorithm for the many-visits TSP


A time-scale modification dataset with subjective quality labels


A topological approach to non-Archimedean Mathematics


A tutorial on spatiotemporal partially observed Markov process models via the R package spatPomp


A type theory for synthetic $\infty$-categories


A unified algorithm for the non-convex penalized estimation: The ncpen package


A unified model for the spatial and mass distribution of subhaloes


A universal framework for t-channel dark matter models


A universal matrix-free split preconditioner for the fixed-point iterative solution of non-symmetric linear systems


A variance modeling framework based on variational autoencoders for speech enhancement


A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling


A versatile tool for cluster lensing source reconstruction. I. methodology and illustration on sources in the Hubble Frontier Field Cluster MACS J0717.5+3745


A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation


A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation


A0C: Alpha Zero in Continuous Action Space


ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting


ABO: Dataset and Benchmarks for Real-World 3D Object Understanding


ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System


AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification


AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers


ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning


ACCSAMS: Automatic Conversion of Exam Documents to Accessible Learning Material for Blind and Visually Impaired


ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks


ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN


ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration


ACTIVIA: Calculation of Isotope Production Cross-sections and Yields


AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts


ADADELTA: An Adaptive Learning Rate Method


ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding


ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact


ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting


ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls


ADF95: Tool for automatic differentiation of a FORTRAN code designed for large numbers of independent variables


ADI finite difference schemes for the Heston-Hull-White PDE


ADL-MVDR: All deep learning MVDR beamformer for target speech separation


ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation


ADaPT: As-Needed Decomposition and Planning with Language Models


ADePT: Auto-encoder based Differentially Private Text Transformation


ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment


AECMOS: A speech quality assessment metric for echo impairment


AEDA: An Easier Data Augmentation Technique for Text Classification


AFiD-GPU: a versatile Navier-Stokes Solver for Wall-Bounded Turbulent Flows on GPU Clusters


AFrame: Extending DataFrames for Large-Scale Modern Data Analysis (Extended Version)


AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation


AI Blue Book: Vehicle Price Prediction using Visual Features


AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms


AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N


AI-GAN: Attack-Inspired Generation of Adversarial Examples


AIM 2020 Challenge on Learned Image Signal Processing Pipeline


AIM: Adapting Image Models for Efficient Video Action Recognition


AIR-FI: Generating Covert Wi-Fi Signals from Air-Gapped Computers


AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks


AITom: Open-source AI platform for cryo-electron tomography data analysis


AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study


AKER: A Design and Verification Framework for Safe andSecure SoC Access Control


ALBA : Reinforcement Learning for Video Object Segmentation


ALMA reveals metals yet no dust within multiple components in CR7


AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data


AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control


AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data


ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach


AO2-DETR: Arbitrary-Oriented Object Detection Transformer


AON: Towards Arbitrarily-Oriented Text Recognition


APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum Encoding and Decoding


APEx: Accuracy-Aware Differentially Private Data Exploration


APFEL Web: a web-based application for the graphical visualization of parton distribution functions


APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection


APoLLo: Unified Adapter and Prompt Learning for Vision Language Models


AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions


AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion


AR-Net: Adaptive Frame Resolution for Efficient Action Recognition


ARID: A New Dataset for Recognizing Action in the Dark


ARMA Nets: Expanding Receptive Field for Dense Prediction


ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation


ARTENOLIS: Automated Reproducibility and Testing Environment for Licensed Software


ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors


ASDN: A Deep Convolutional Network for Arbitrary Scale Image Super-Resolution


ASER: A Large-scale Eventuality Knowledge Graph


ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training


ASLFeat: Learning Local Features of Accurate Shape and Localization


ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks


ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction


ASlib: A Benchmark Library for Algorithm Selection


ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images


ATLAS Probe: Breakthrough Science of Galaxy Evolution, Cosmology, Milky Way, and the Solar System


ATLASv2: ATLAS Attack Engagements, Version 2


ATOM: Accurate Tracking by Overlap Maximization


ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning


ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation


ATRW: A Benchmark for Amur Tiger Re-identification in the Wild


ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation


AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset


AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?


AV-RIR: Audio-Visual Room Impulse Response Estimation


AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection


AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies


AVA: Adversarial Vignetting Attack against Visual Recognition


AVClass2: Massive Malware Tag Extraction from AV Labels


AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations


AWAC: Accelerating Online Reinforcement Learning with Offline Datasets


AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data


AXNet: ApproXimate computing using an end-to-end trainable neural network


AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs


Ab initio Green-Kubo simulations of heat transport in solids: Method and implementation


Abelian Chern-Simons vortices at finite chemical potential


Abortive Initiation as a Bottleneck for Transcription in the Early Drosophila Embryo


About Pyramid Structure in Convolutional Neural Networks


Abstractions for Symbolic Controller Synthesis are Composable


Abstractive Dialog Summarization with Semantic Scaffolds


Abstractive Summarization of Reddit Posts with Multi-level Memory Networks


Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond


Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video


Accelerated Bayesian inference using deep learning


Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs


Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia


Accelerated Gradient Methods for Nonconvex Nonlinear and Stochastic Programming


Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization


Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes


Accelerated Methods for Deep Reinforcement Learning


Accelerated Modeling of Near and Far-Field Diffraction for Coronagraphic Optical Systems


Accelerated Share Repurchase: pricing and execution strategy


Accelerated meta-algorithm for convex optimization


Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks


Accelerated screening of thermoelectric materials by first-principles computations of electron-phonon scattering


Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform


Accelerating Deep Learning by Focusing on the Biggest Losers


Accelerating Eulerian Fluid Simulation With Convolutional Networks


Accelerating Image Super-Resolution Networks with Pixel-Level Classification


Accelerating Natural Gradient with Higher-Order Invariance


Accelerating Neural Architecture Search using Performance Prediction


Accelerating PageRank using Partition-Centric Processing


Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit


Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition


Accelerating the computation of FLAPW methods on heterogeneous architectures


Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures


Accounting for unobserved covariates with varying degrees of estimability in high dimensional biological data


Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM


Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models


Accuracy of Potfit-based potential representations and its impact on the performance of (ML-)MCTDH


Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations


Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model


Accurate Estimators of Correlation Functions in Fourier Space


Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction


Accurate Gaussian-Process-based Distance Fields with applications to Echolocation and Mapping


Accurate Identification of Galaxy Mergers with Imaging


Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network


Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective


Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint


Accurate and scalable social recommendation using mixed-membership stochastic block models


Accurate detection of arbitrary photon statistics


Accurate iteration-free mixed-stabilised formulation for laminar incompressible Navier-Stokes: Applications to fluid-structure interaction


Accurate, Efficient and Scalable Graph Embedding


Accurate, reliable and fast robustness evaluation


Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning


Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction


Acoustic Hologram Optimisation Using Automatic Differentiation


Acoustic scene analysis with multi-head attention networks


Action Quality Assessment with Temporal Parsing Transformer


Action Recognition using Visual Attention


Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints


Action and Perception as Divergence Minimization


Action-Conditional Video Prediction using Deep Networks in Atari Games


Action-depedent Control Variates for Policy Optimization via Stein's Identity


Activating Wider Areas in Image Super-Resolution


Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain


Active Classification with Uncertainty Comparison Queries


Active Convolution: Learning the Shape of Convolution for Image Classification


Active Learning Meets Optimized Item Selection


Active Learning Using Uncertainty Information


Active Learning for Decision-Making from Imbalanced Observational Data


Active Learning for Visual Question Answering: An Empirical Study


Active Learning from Positive and Unlabeled Data


Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended)


Active Mini-Batch Sampling using Repulsive Point Processes


Active Semi-Supervised Learning Using Sampling Theory for Graph Signals


Active and Passive IRS Jointly Aided Communication: Deployment Design and Achievable Rate


Active learning based generative design for the discovery of wide bandgap materials


ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition


Activity driven fluctuations in living cells


Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model


Actor Model of Computation: Scalable Robust Information Systems


Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report


Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization


Actors without Borders: Amnesty for Imprisoned State


AdGraph: A Graph-Based Approach to Ad and Tracker Blocking


AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search


AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks


AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation


AdaCliP: Adaptive Clipping for Private SGD


AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations


AdaLAM: Revisiting Handcrafted Outlier Detection


AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition


AdaRNN: Adaptive Learning and Forecasting of Time Series


AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning


AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods


AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data


AdaViT: Adaptive Tokens for Efficient Vision Transformer


AdaViT: Adaptive Vision Transformers for Efficient Image Recognition


Adafactor: Adaptive Learning Rates with Sublinear Memory Cost


Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview


Adaptation and Robust Learning of Probabilistic Movement Primitives


Adapted Center and Scale Prediction: More Stable and More Accurate


Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive Transfer Learning


Adapting Grad-CAM for Embedding Networks


Adapting Neural Text Classification for Improved Software Categorization


Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants


Adaptive Affinity Fields for Semantic Segmentation


Adaptive Computation Time for Recurrent Neural Networks


Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control


Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations


Adaptive Densely Connected Super-Resolution Reconstruction


Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data


Adaptive Drift-Diffusion Process to Learn Time Intervals


Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions


Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers


Adaptive Frequency Filters As Efficient Global Token Mixers


Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions


Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search)


Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection


Adaptive Graph Pruning for Multi-Agent Communication


Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting


Adaptive Input Representations for Neural Language Modeling


Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification


Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout


Adaptive Neural Networks for Efficient Inference


Adaptive Online Replanning with Diffusion Models


Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs


Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning


Adaptive Regularization Parameter Choice Rules for Large-Scale Problems


Adaptive Scaling for Sparse Detection in Information Extraction


Adaptive Sketch-and-Project Methods for Solving Linear Systems


Adaptive Texture Filtering for Single-Domain Generalized Segmentation


Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network


Adaptive Trajectory Planning and Optimization at Limits of Handling


Adaptive Transfer Learning on Graph Neural Networks


Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models


Adaptive Variational Quantum Imaginary Time Evolution Approach for Ground State Preparation


Adaptive and Iteratively Improving Recurrent Lateral Connections


Adaptive deep learning for time-varying systems with hidden parameters: Predicting changing input beam distributions of compact particle accelerators


Adaptive scheduling of noise characterization in quantum computers


Adaptive tempered reversible jump algorithm for Bayesian curve fitting


Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training


Adaptively Preconditioned Stochastic Gradient Langevin Dynamics


Adaptively Transformed Mixed Model Prediction of General Finite Population Parameters


Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models


Adding Chit-Chat to Enhance Task-Oriented Dialogues


Adding Conditional Control to Text-to-Image Diffusion Models


Additive and multiplicative effects network models


Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm


Addressing Troubles with Double Bubbles: Convergence and Stability at Multi-Bubble Junctions


Addressing catastrophic forgetting for medical domain expansion


Addressing the Memory Bottleneck in AI Model Training


Adjoint Methods for Guiding Adaptive Mesh Refinement in Wave Propagation Problems


Adposition and Case Supersenses v2.6: Guidelines for English


Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition


AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks


Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams


Advanced Forward Modeling and Inversion of Stokes Profiles Resulting from the Joint Action of the Hanle and Zeeman Effects


Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM


Advances in Pre-Training Distributed Word Representations


Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention


Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines


Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning


Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Models


Advantages of Bilinear Koopman Realizations for the Modeling and Control of Systems with Unknown Dynamics


Advection Augmented Convolutional Neural Networks


Adversarial Attack on Community Detection by Hiding Individuals


Adversarial Attack on Graph Structured Data


Adversarial Attacks on GMM i-vector based Speaker Verification Systems


Adversarial Attacks on Neural Networks for Graph Data


Adversarial Colorization Of Icons Based On Structure And Color Conditions


Adversarial Complementary Learning for Weakly Supervised Object Localization


Adversarial Deep Learning for Robust Detection of Binary Encoded Malware


Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples


Adversarial Defense by Stratified Convolutional Sparse Coding


Adversarial Defense of Image Classification Using a Variational Auto-Encoder


Adversarial Domain Adaptation for Duplicate Question Detection


Adversarial Examples Are Not Bugs, They Are Features


Adversarial Examples Detection beyond Image Space


Adversarial Examples Improve Image Recognition


Adversarial Feature Hallucination Networks for Few-Shot Learning


Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models


Adversarial Generation of Handwritten Text Images Conditioned on Sequences


Adversarial Generation of Informative Trajectories for Dynamics System Identification


Adversarial Graph Augmentation to Improve Graph Contrastive Learning