JExplore: Design Space Exploration Tool for Nvidia Jetson Boards


JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction


JGAT: a joint spatio-temporal graph attention model for brain decoding


JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image


JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits


JINet: easy and secure private data analysis for everyone


JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation


JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition


JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework


JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example


JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models


JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability


JMS: A workflow management system and web-based cluster front-end for the Torque resource manager


JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset


JNET: Learning User Representations via Joint Network Embedding and Topic Embedding


JNLP Team: Deep Learning for Legal Processing in COLIEE 2020


JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models


JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation


JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching


JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection


JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting


JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling


JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning


JORLDY: a fully customizable open source framework for reinforcement learning


JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery


JPARSEC: a Java package for astronomy with twelve years of development and use


JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction


JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression


JPEG Artifact Correction using Denoising Diffusion Restoration Models


JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting


JPIS: A Joint Model for Profile-based Intent Detection and Slot Filling with Slot-to-Intent Attention


JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection


JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes


JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures


JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging


JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds


JS Fake Chorales: a Synthetic Dataset of Polyphonic Music with Human Annotation


JS-son -- A Lean, Extensible JavaScript Agent Programming Library


JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation


JSEEGraph: Joint Structured Event Extraction as Graph Parsing


JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds


JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video


JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields


JSOL: JavaScript Open-source Library for Grammar of Graphics


JSONoid: Monoid-based Enrichment for Configurable and Scalable Data-Driven Schema Discovery


JSPAM: A restricted three-body code for simulating interacting galaxies


JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features


JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings


JUDE (Jayant's UVIT Data Explorer) Pipeline User Manual


JUGE: An Infrastructure for Benchmarking Java Unit Test Generators


JUICER: Data-Efficient Imitation Learning for Robotic Assembly


JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data


JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags


JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning


JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction


JWST Early Release Science Program TEMPLATES: Targeting Extremely Magnified Panchromatic Lensed Arcs and their Extended Star formation


JWST FRESCO: a comprehensive census of H$β$+[OIII] emitters at 6.8<z<9.0 in the GOODS fields


JWST MIRI Imaging Data Post-Processing Preliminary Study with Fourier Transformation to uncover potentially celestial-origin signals


JWST NIRSpec spectroscopy of the triply-lensed $z = 10.17$ galaxy MACS0647$-$JD


JWST observations of K2-18b can be explained by a gas-rich mini-Neptune with no habitable surface


JWST's PEARLS: Improved Flux Calibration for NIRCam


JWST-TST High Contrast: Achieving direct spectroscopy of faint substellar companions next to bright stars with the NIRSpec IFU


JWST/MIRI Observations of Newly Formed Dust in the Cold, Dense Shell of the Type IIn SN 2005ip


JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing


JaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus


JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension


JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models


Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent


Jackknife inference with two-way clustering


Jacobi Prior: An Alternative Bayesian Method for Supervised Learning


Jacobi polynomials for the first-order generalized Reed--Muller codes


Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations


JacobiNeRF: NeRF Shaping with Mutual Information Gradients


Jacobian Adversarially Regularized Networks for Robustness


Jacobian Regularizer-based Neural Granger Causality


Jacobian-free Efficient Pseudo-Likelihood (EPL) Algorithm


JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model


Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey


Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt


JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models


JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models


JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models


Jailbreaking Attack against Multimodal Large Language Model


Jailbreaking LLMs with Arabic Transliteration and Arabizi


Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings


Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks


Jailbreaking as a Reward Misspecification Problem


Jailbreaking with Universal Multi-Prompts


JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift


Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE


JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs


JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks


Jambu: A historical linguistic database for South Asian languages


Jamdani Motif Generation using Conditional GAN


JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata


Jammer-Resilient Time Synchronization in the MIMO Uplink


Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models


Janssen 2.0: Audio Inpainting in the Time-frequency Domain


JanusDDG: A Thermodynamics-Compliant Model for Sequence-Based Protein Stability via Two-Fronts Multi-Head Attention


JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model


JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment


Jasper and Stella: distillation of SOTA embedding models


Jatmo: Prompt Injection Defense by Task-Specific Finetuning


Java Implementation of a Parameter-less Evolutionary Portfolio


JavaBERT: Training a transformer-based model for the Java programming language


JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models


JavaScript Dead Code Identification, Elimination, and Empirical Assessment


JaxDecompiler: Redefining Gradient-Informed Software Design


JaxLife: An Open-Ended Agentic Simulator


JaxPruner: A concise library for sparsity research


JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes


JaxSGMC: Modular stochastic gradient MCMC in JAX


JaxUED: A simple and useable UED library in Jax


JeFaPaTo -- A joint toolbox for blinking analysis and facial features extraction


Jeffreys priors for mixture estimation: properties and alternatives


Jejueo Datasets for Machine Translation and Speech Synthesis


Jellium and Cell Model for Titratable Colloids with Continuous Size Distribution


Jelly Bean World: A Testbed for Never-Ending Learning


Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks


Jerk Constrained Velocity Planning for an Autonomous Vehicle: Linear Programming Approach


Jerk-limited Real-time Trajectory Generation with Arbitrary Target States


Jess+: designing embodied AI for interactive music-making


Jet Discrimination with Quantum Complete Graph Neural Network


Jet Reconstruction with Mamba Networks in Collider Events


Jet Tagging with More-Interaction Particle Transformer


Jet energy calibration with deep learning as a Kubeflow pipeline


Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis


Jet tagging in the Lund plane with graph networks


Jet-Images: Computer Vision Inspired Techniques for Jet Tagging


Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction


Jet: Multilevel Graph Partitioning on Graphics Processing Units


JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables


JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems


JetUnit: Rendering Diverse Force Feedback in Virtual Reality Using Water Jets


Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization


Jewel Optics I: non-redundant Fizeau beam combination without the guilt


JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event Detection


JigSaw: Boosting Fidelity of NISQ Programs via Measurement Subsetting


Jigsaw Clustering for Unsupervised Visual Representation Learning


Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles


Jigsaw: Large Language Models meet Program Synthesis


JigsawHSI: a network for Hyperspectral Image classification


Jitter Characterization of the HyTI Satellite


JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models


JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding


JoFormer (Journey-based Transformer): Theory and Empirical Analysis on the Tiny Shakespeare Dataset


JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs


JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning


JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts


JoXSZ: Joint X-SZ fitting code for galaxy clusters


Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods


Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach


Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking


JobBERT: Understanding Job Titles through Skills


Jodi: Unification of Visual Generation and Understanding via Joint Modeling


JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT


Jogging the Memory of Unlearned LLMs Through Targeted Relearning Attacks


Johnson-noise-limited cancellation-free microwave impedance microscopy with monolithic silicon cantilever probes


Join Query Optimization with Deep Reinforcement Learning Algorithms


Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket


Join, select, and insert: efficient out-of-core algorithms for hierarchical segmentation trees


JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints


JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning


Joinable Search over Multi-source Spatial Datasets: Overlap, Coverage, and Efficiency


Joining Sound Event Detection and Localization Through Spatial Segregation


Joint 2D-3D-Semantic Data for Indoor Scene Understanding


Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph


Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images


Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction


Joint Action Unit localisation and intensity estimation through heatmap regression


Joint Adaptive Graph and Structured Sparsity Regularization for Unsupervised Feature Selection


Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning


Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction


Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems


Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities


Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos


Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM


Joint Answering and Explanation for Visual Commonsense Reasoning


Joint Approximate Diagonalization under Orthogonality Constraints


Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference


Joint Bootstrapping Machines for High Confidence Relation Extraction


Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration


Joint Chance Constrained Optimal Control via Linear Programming


Joint Channel Estimation and Nonlinear Distortion Compensation in OFDM Receivers


Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices


Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels


Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification


Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters


Joint Coding-Modulation for Digital Semantic Communications via Variational Autoencoder


Joint Community Detection and Rotational Synchronization via Semidefinite Programming


Joint Contrastive Learning with Infinite Possibilities


Joint Coreference Resolution and Character Linking for Multiparty Conversation


Joint Coverage Regions: Simultaneous Confidence and Prediction Sets


Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits


Joint Data Inpainting and Graph Learning via Unrolled Neural Networks


Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise


Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays


Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction


Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver Approach


Joint Demosaicking / Rectification of Fisheye Camera Images using Multi-color Graph Laplacian Regularization


Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images


Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images


Joint Dense-Point Representation for Contour-Aware Graph Segmentation


Joint Depth Estimation and Mixture of Rain Removal From a Single Image


Joint Detection and Location of English Puns


Joint Detection of Motion Boundaries and Occlusions


Joint Discovery of Object States and Manipulation Actions


Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification


Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection


Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification


Joint Distribution Optimal Transportation for Domain Adaptation


Joint Distribution of Distance and Angles in Finite Wireless Networks


Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation


Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables


Joint Effects of Context and User History for Predicting Online Conversation Re-entries


Joint Embedding Predictive Architectures Focus on Slow Features


Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models


Joint Enhancement and Denoising Method via Sequential Decomposition


Joint Entity and Relation Extraction with Set Prediction Networks


Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks


Joint Entropy Search for Multi-objective Bayesian Optimization


Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models


Joint Estimation of Extreme Spatially Aggregated Precipitation at Different Scales through Mixture Modelling


Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models


Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier


Joint Event Detection and Description in Continuous Video Streams


Joint Extraction of Events and Entities within a Document Context


Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations


Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework


Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity


Joint Forecasting of Panoptic Segmentations with Difference Attention


Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis


Joint Gaussian Graphical Model Estimation: A Survey


Joint Generator-Ranker Learning for Natural Language Generation


Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation


Joint Geometric-Semantic Driven Character Line Drawing Generation


Joint Global and Local Hierarchical Priors for Learned Image Compression


Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications


Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models


Joint Graph Rewiring and Feature Denoising via Spectral Resonance


Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking


Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos


Joint Identity Verification and Pose Alignment for Partial Fingerprints


Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization


Joint Instantaneous Amplitude-Frequency Analysis of Vibration Signals for Vibration-Based Condition Monitoring of Rolling Bearings


Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning


Joint Intrinsic and Extrinsic LiDAR-Camera Calibration in Targetless Environments Using Plane-Constrained Bundle Adjustment


Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework


Joint Knowledge Editing for Information Enrichment and Probability Promotion


Joint Language Semantic and Structure Embedding for Knowledge Graph Completion


Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization


Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution


Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification


Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation


Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images


Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index


Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection


Joint Learning of Emotions in Music and Generalized Sounds


Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification


Joint Learning of Intrinsic Images and Semantic Segmentation


Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization


Joint Learning of Localized Representations from Medical Images and Reports


Joint Learning of Neural Networks via Iterative Reweighted Least Squares


Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation


Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction


Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing


Joint Load and Capacity Scheduling for Flexible Radio Resource Management of High-Throughput Satellites


Joint Magnetometer-IMU Calibration via Maximum A Posteriori Estimation


Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake


Joint Manifold Learning and Optimal Transport for Dynamic Imaging


Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins


Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression


Joint Maximum Purity Forest with Application to Image Super-Resolution


Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization


Joint Metrics Matter: A Better Standard for Trajectory Forecasting


Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals


Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach


Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment


Joint Modelling Histology and Molecular Markers for Cancer Classification


Joint Modelling of Astrophysical Systematics for Cosmology with LSST Cosmic Shear


Joint Modelling of Line and Point Data on Metric Graphs


Joint Moment Retrieval and Highlight Detection Via Natural Language Queries


Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos


Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving


Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding


Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement


Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation


Joint Multi-view Unsupervised Feature Selection and Graph Learning


Joint Multilingual Supervision for Cross-lingual Entity Linking


Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging


Joint Multimodal Transformer for Emotion Recognition in the Wild


Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation


Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification


Joint Object Detection and Multi-Object Tracking with Graph Neural Networks


Joint Optimal Transport and Embedding for Network Alignment


Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning


Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC


Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation


Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy


Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach


Joint Optimization of Tokenization and Downstream Model


Joint Optimization of an Autoencoder for Clustering and Embedding


Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses


Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction


Joint Overlap Analysis of Multiple Genomic Interval Sets


Joint Parameter Discovery and Generative Modeling of Dynamic Systems


Joint Parsing and Generation for Abstractive Summarization


Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning


Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning


Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues


Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs


Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality


Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning


Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO


Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs


Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning


Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning


Joint Privacy Enhancement and Quantization in Federated Learning


Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion


Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering


Joint Prompt Optimization of Stacked LLMs using Variational Inference


Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks


Joint Quantile Regression for Spatial Data


Joint Quantum State and Measurement Tomography with Incomplete Measurements


Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography


Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification


Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog


Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer


Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection


Joint Resource and Admission Management for Slice-enabled Networks


Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data


Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection


Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards


Joint Semi-Symmetric Tensor PCA for Integrating Multi-modal Populations of Networks


Joint Shapley values: a measure of joint feature importance


Joint Signal Detection and Automatic Modulation Classification via Deep Learning


Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification


Joint Slot Filling and Intent Detection via Capsule Neural Networks


Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking


Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images


Joint Spatio-Textual Reasoning for Answering Tourism Questions


Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels


Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models


Joint Structural Break Detection and Parameter Estimation in High-Dimensional Non-Stationary VAR Models


Joint Study of Above Ground Biomass and Soil Organic Carbon for Total Carbon Estimation using Satellite Imagery in Scotland


Joint Subgraph-to-Subgraph Transitions -- Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling


Joint Super-Resolution and Alignment of Tiny Faces


Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark


Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank


Joint Synthesis of Trajectory and Controlled Invariant Funnel for Discrete-time Systems with Locally Lipschitz Nonlinearities


Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach


Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers


Joint Topic-Semantic-aware Social Recommendation for Online Voting


Joint Universal Syntactic and Semantic Parsing


Joint Variational Autoencoders for Recommendation with Implicit Feedback


Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data


Joint Vision-Language Social Bias Removal for CLIP


Joint Visual Denoising and Classification using Deep Learning


Joint Visual Grounding and Tracking with Natural Language Specification


Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models


Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images


Joint Word Representation Learning using a Corpus and a Semantic Lexicon


Joint and Individual Component Regression


Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction


Joint clustering with alignment for temporal data in a one-point-per-experiment setting


Joint control variate for faster black-box variational inference


Joint covariate-alignment and concept-alignment: a framework for domain generalization


Joint deconvolution and unsupervised source separation for data on the sphere


Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method


Joint embedding of structure and features via graph convolutional networks


Joint estimation of insurance loss development factors using Bayesian hidden Markov models


Joint graph learning from Gaussian observations in the presence of hidden nodes


Joint identifiability of ancestral sequence, phylogeny and mutation rates under the TKF91 model


Joint identification of spatially variable genes via a network-assisted Bayesian regularization approach


Joint inference and input optimization in equilibrium networks


Joint inference of multiple graphs with hidden variables from stationary graph signals


Joint learning of cartesian undersampling and reconstruction for accelerated MRI


Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity


Joint magnitude estimation and phase recovery using Cycle-in-Cycle GAN for non-parallel speech enhancement


Joint model with latent disease age: overcoming the need for reference time


Joint modelling of longitudinal and time-to-event data applied to group sequential clinical trials


Joint modelling of longitudinal measurements and survival times via a multivariate copula approach


Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients


Joint multi-dimensional dynamic attention and transformer for general image restoration


Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology


Joint optimization of a $β$-VAE for ECG task-specific feature extraction


Joint or Disjoint: Mixing Training Regimes for Early-Exit Models


Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4


Joint search for isolated sources and an unresolved confusion background in pulsar timing array data


Joint species distribution models with imperfect detection for high-dimensional spatial data


Joint stereo 3D object detection and implicit surface reconstruction


Joint structure learning and causal effect estimation for categorical graphical models


Joint trajectory and network inference via reference fitting


Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems


Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing


Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model


Joint-Relation Transformer for Multi-Person Motion Prediction


Joint-Task Regularization for Partially Labeled Multi-Task Learning


JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs


JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering


JointLoc: A Real-time Visual Localization Framework for Planetary UAVs Based on Joint Relative and Absolute Pose Estimation


JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification


JointRank: Rank Large Set with Single Pass


JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA


Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation


Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification


Jointly Contrastive Representation Learning on Road Network and Trajectory


Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization


Jointly De-biasing Face Recognition and Demographic Attribute Estimation


Jointly Extracting Relations with Class Ties via Effective Deep Ranking


Jointly Extracting and Compressing Documents with Summary State Representations


Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization


Jointly Learnable Data Augmentations for Self-Supervised GNNs


Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions


Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation


Jointly Learning Entity and Relation Representations for Entity Alignment


Jointly Learning Explainable Rules for Recommendation with Knowledge Graph


Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models


Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews


Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning


Jointly Optimal Routing and Caching with Bounded Link Capacities


Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling


Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain Attention


Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning


Jointly embedding the local and global relations of heterogeneous graph for rumor detection


Jointly modeling rating responses and times with fuzzy numbers: An application to psychometric data


Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN


JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering


Josephson oscillations of two weakly coupled Bose-Einstein condensates


JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI


Journalistic Guidelines Aware News Image Captioning


Journey Beyond Full Abstraction: Exploring Robust Property Preservation for Secure Compilation


Journey into SPH Simulation: A Comprehensive Framework and Showcase


Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons


JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images


JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing


JoyVASA: Portrait and Animal Image Animation with Diffusion-Based Audio-Driven Facial Dynamics and Head Motion Generation


Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition


JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation


JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning


JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System


JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation


JuMP 1.0: Recent improvements to a modeling language for mathematical optimization


JuMP: A Modeling Language for Mathematical Optimization


Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription


Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation


JudgeBench: A Benchmark for Evaluating LLM-based Judges


JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment


Judgement Citation Retrieval using Contextual Similarity


Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models


Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge


Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?


Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges


Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control


Juggling with Tensor Bases in Functional Approaches


JugglingSwap: Scriptless Atomic Cross-Chain Swaps


Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks


JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE


Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models


JuliQAOA: Fast, Flexible QAOA Simulation


JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms


Julia as a unifying end-to-end workflow language on the Frontier exascale system


Jump Starting Bandits with LLM-Generated Prior Knowledge


Jump detection in high-frequency order prices


Jump stochastic differential equations for the characterisation of the Bragg peak in proton beam radiotherapy


Jump to Conclusions: Short-Cutting Transformers With Linear Transformations


Jump to better conclusions: SCAN both left and right


JumpBackHash: Say Goodbye to the Modulo Operation to Distribute Keys Uniformly to Buckets


JumpCoder: Go Beyond Autoregressive Coder via Online Modification


JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks


Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling


Jumping across biomedical contexts using compressive data fusion


Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers


JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements


Juno: a Python-based graphical package for optical system design


Jup2Kub: algorithms and a system to translate a Jupyter Notebook pipeline to a fault tolerant distributed Kubernetes deployment


Jupyter Notebooks on GitHub: Characteristics and Code Clones


Jupyter Scatter: Interactive Exploration of Large-Scale Datasets


Jupyter widgets and extensions for education and research in computational physics and chemistry


Jupyter-Enabled Astrophysical Analysis for Researchers and Students


Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation


Jury: A Comprehensive Evaluation Toolkit


Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue


Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living


Just Another Hour on TikTok: Reverse-engineering unique identifiers to obtain a complete slice of TikTok


Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization


Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations


Just Fine-tune Twice: Selective Differential Privacy for Large Language Models


Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View


Just Go with the Flow: Self-Supervised Scene Flow Estimation


Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks


Just Label the Repeats for In-The-Wild Audio-to-Score Alignment


Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness


Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout


Just Ramp-up: Unleash the Potential of Regression-based Estimator for A/B Tests under Network Interference


Just Rank: Rethinking Evaluation with Word and Sentence Similarities


Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion


Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts


Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models


Just Train Twice: Improving Group Robustness without Training Group Information


Just Trial Once: Ongoing Causal Validation of Machine Learning Models


Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance


Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks


Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning


Just what the doctor ordered: An evaluation of provider preference-based Instrumental Variable methods in observational studies, with application for comparative effectiveness of type 2 diabetes therapy


Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning


Just-in-Time Learning for Bottom-Up Enumerative Synthesis


Just-in-Time Static Type Checking for Dynamic Languages


JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models


JustSTART: How to Find an RSA Authentication Bypass on Xilinx UltraScale(+) with Fuzzing


JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims


Justified Evidence Collection for Argument-based AI Fairness Assurance


Justifying Groups in Multiwinner Approval Voting


Jäger: Automated Telephone Call Traceback


K Nearest Neighbor-Guided Trajectory Similarity Learning


K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes


K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression


K-Adaptability in Two-Stage Mixed-Integer Robust Optimization


K-Athena: a performance portable structured grid finite volume magnetohydrodynamics code


K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning


K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers


K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor


K-Core based Temporal Graph Convolutional Network for Dynamic Graphs


K-Deep Simplex: Deep Manifold Learning via Local Dictionaries


K-Detector: Identifying Duplicate Crash Failures in Large-Scale Software Delivery


K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations


K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Against Oracle-Guided Attacks


K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings


K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment


K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics


K-Net: Towards Unified Image Segmentation


K-Origins: Better Colour Quantification for Neural Networks


K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries


K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction


K-QA: A Real-World Medical Q&A Benchmark


K-ST: A Formal Executable Semantics of the Structured Text Language for PLCs


K-Space Transformer for Undersampled MRI Reconstruction


K-UNN: k-Space Interpolation With Untrained Neural Network


K-UniMorph: Korean Universal Morphology and its Feature Schema


K-VIL: Keypoints-based Visual Imitation Learning


K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables


K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means


K-band GRAVITY/VLTI interferometry of "extreme" Herbig Be stars. The size-luminosity relation revisited


K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets


K-classes of delta-matroids and equivariant localization


K-means Enhanced Density Gradient Analysis for Urban and Transport Metrics Using Multi-Modal Satellite Imagery


K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction


K-theoretic Tutte polynomials of morphisms of matroids


K2 Discovery of a Circumsecondary Disk Transiting EPIC 220208795


K2-139 b: a low-mass warm Jupiter on a 29-day orbit transiting an active K0 V star


K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization


K2SC: Flexible systematics correction and detrending of K2 light curves using Gaussian Process regression


K3 surfaces with two involutions and low Picard number


KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks


KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion


KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation


KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning


KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation


KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning


KALA: Knowledge-Augmented Language Model Adaptation


KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing


KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support


KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph


KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding


KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation


KAN or MLP? Point Cloud Shows the Way Forward


KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks


KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation


KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?


KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements


KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search


KANT: A tool for Grounding and Knowledge Management


KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative Documents


KARINA: An Efficient Deep Learning Model for Global Weather Forecast


KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting


KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment


KARRIEREWEGE: A Large Scale Career Path Prediction Dataset


KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models


KASAM: Spline Additive Models for Function Approximation


KATE: K-Competitive Autoencoder for Text


KATRec: Knowledge Aware aTtentive Sequential Recommendations


KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases


KBAlign: Efficient Self Adaptation on Specific Knowledge Bases


KBLaM: Knowledge Base augmented Language Model


KBNet: Kernel Basis Network for Image Restoration


KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search


KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model


KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion


KCAT: A Knowledge-Constraint Typing Annotation Tool


KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media


KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework


KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery


KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem


KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation


KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow


KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo


KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation


KDEformer: Accelerating Transformers via Kernel Density Estimation


KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning


KDMOS:Knowledge Distillation for Motion Segmentation


KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection


KDSource, a tool for the generation of Monte Carlo particle sources using kernel density estimation


KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing


KEEC: Koopman Embedded Equivariant Control


KEGGexpressionMapper allows for analysis of pathways over multiple conditions by integrating transcriptomics and proteomics measurements


KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning


KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs


KEN: Kernel Extensions using Natural Language


KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation


KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering


KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models


KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation


KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation


KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation


KESA: A Knowledge Enhanced Approach For Sentiment Analysis


KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation


KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG


KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment


KETM:A Knowledge-Enhanced Text Matching method


KEVLAR-TZ: A Secure Cache for ARM TrustZone


KFAS: Exponential Family State Space Models in R


KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning


KFNet: Learning Temporal Camera Relocalization using Kalman Filtering


KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning


KG-BERT: BERT for Knowledge Graph Completion


KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge


KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions


KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models


KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification


KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation


KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models


KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs


KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?


KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment


KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection


KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction


KGLink: A column type annotation method that combines knowledge graph and pre-trained language model


KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking


KGMark: A Diffusion Watermark for Knowledge Graphs


KGP: An R Package with Metadata from the 1000 Genomes Project


KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs


KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation


KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction


KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models


KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation


KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis


KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles


KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering


KH-PINN: Physics-informed neural networks for Kelvin-Helmholtz instability with spatiotemporal and magnitude multiscale


KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction


KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections


KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion


KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models


KIF: A Wikidata-Based Framework for Integrating Heterogeneous Knowledge Sources


KILM: Knowledge Injection into Encoder-Decoder Language Models


KILT: a Benchmark for Knowledge Intensive Language Tasks


KIND: Knowledge Integration and Diversion for Training Decomposable Models


KIND: an Italian Multi-Domain Dataset for Named Entity Recognition


KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients


KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi


KISS: Keeping It Simple for Scene Text Recognition


KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval


KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering


KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation


KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy


KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache


KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection


KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection


KL Divergence Estimation with Multi-group Attribution


KL Penalty Control via Perturbation for Direct Preference Optimization


KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints


KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications


KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs


KLEESPECTRE: Detecting Information Leakage through Speculative Cache Attacks via Symbolic Execution


KLEJ: Comprehensive Benchmark for Polish Language Understanding


KLearn: Background Knowledge Inference from Summarization Data


KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation


KM-UNet KAN Mamba UNet for medical image segmentation


KML: Using Machine Learning to Improve Storage Systems


KMM: Key Frame Mask Mamba for Extended Motion Generation


KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding


KNIMEZoBot: Enhancing Literature Review with Zotero and KNIME OpenAI Integration using Retrieval-Augmented Generation


KNN Classification with One-step Computation


KNN and K-means in Gini Prametric Spaces


KNN-Averaging for Noisy Multi-objective Optimisation


KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier


KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search


KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment


KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair


KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations


KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining


KNighter: Transforming Static Analysis with LLM-Synthesized Checkers


KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning


KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment


KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language


KOGNAC: Efficient Encoding of Large Knowledge Graphs


KOHTD: Kazakh Offline Handwritten Text Dataset


KONG: Kernels for ordered-neighborhood graphs


KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation


KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation


KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization


KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation


KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks


KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art


KPConvX: Modernizing Kernel Point Convolution with Kernel Attention


KPDrop: Improving Absent Keyphrase Generation


KPE: Keypoint Pose Encoding for Transformer-based Image Generation


KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation


KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction


KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents


KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level


KPL: Training-Free Medical Knowledge Mining of Vision-Language Models


KPQA: A Metric for Generative Question Answering Using Keyphrase Weights


KPRNet: Improving projection-based LiDAR semantic segmentation


KPROJ: A Program for Unfolding Electronic and Phononic Bands


KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents


KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads


KR-BERT: A Small-Scale Korean-Specific Language Model


KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion


KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation


KRATT: QBF-Assisted Removal and Structural Analysis Attack Against Logic Locking


KRB-CCN: Lightweight Authentication & Access Control for Private Content-Centric Networks


KRED: Knowledge-Aware Document Representation for News Recommendations


KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications


KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer


KSS-ICP: Point Cloud Registration based on Kendall Shape Space


KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation


KSW: Khmer Stop Word based Dictionary for Keyword Extraction


KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems


KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos


KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning


KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences


KTO: Model Alignment as Prospect Theoretic Optimization


KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation


KTWIN: A Serverless Kubernetes-based Digital Twin Platform


KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing


KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media


KUKA Sunrise Toolbox: Interfacing Collaborative Robots with MATLAB


KUNPENG: An Embodied Large Model for Intelligent Maritime


KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches


KV Shifting Attention Enhances Language Modeling


KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head


KV-Edit: Training-Free Image Editing for Precise Background Preservation


KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding


KVC-onGoing: Keystroke Verification Challenge


KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider


KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents


KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation


KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception


KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing


KVT: k-NN Attention for Boosting Vision Transformers


KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference


KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction


KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution


KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation


KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation


KaMPIng: Flexible and (Near) Zero-Overhead C++ Bindings for MPI


KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models


KaTie: for parton-level event generation with k_T-dependent initial states


KabaddiPy: A package to enable access to Professional Kabaddi Data


Kac-Moody symmetries in one-dimensional bosonic systems


Kadabra: Adapting Kademlia for the Decentralized Web


Kafnets: kernel-based non-parametric activation functions for neural networks


KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning


KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers


Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance


KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices


Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning


Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino


Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps


Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning


Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal


Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning


Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights


Kalman Filters on Differentiable Manifolds


Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization


Kalman meets Bellman: Improving Policy Evaluation through Value Tracking


Kalman-Takens filtering in the presence of dynamical noise


KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics


KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen


Kamino: Constraint-Aware Differentially Private Data Synthesis


Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models


Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting


Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications


Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?


Kantorovich-Rubinstein distance and barycenter for finitely supported measures: Foundations and Algorithms


KaoKore: A Pre-modern Japanese Art Facial Expression Dataset


KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition


KarNet: An Efficient Boolean Function Simplifier


Karma: Resource Allocation for Dynamic Demands


Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments


KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation


Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis


Katakomba: Tools and Benchmarks for Data-Driven NetHack


Katana: Dual Slicing-Based Context for Learning Bug Fixes


Katara: Synthesizing CRDTs with Verified Lifting


Katecheo: A Portable and Modular System for Multi-Topic Question Answering


KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication


KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis


KazNERD: Kazakh Named Entity Recognition Dataset


KazQAD: Kazakh Open-Domain Question Answering Dataset


KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes


KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset


KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation


KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching


Keep CALM and Explore: Language Models for Action Generation in Text-based Games


Keep CALM and Improve Visual Feature Attribution


Keep It Accurate and Robust: An Enhanced Nuclei Analysis Framework


Keep It Private: Unsupervised Privatization of Online Text


Keep It Real: a Window to Real Reality in Virtual Reality


Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?


Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks


Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering


Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting


Keep it Simple: Image Statistics Matching for Domain Adaptation


Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text


Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning


Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows


Keep what you need : extracting efficient subnetworks from large audio representation models


Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection


Keep your memory dump shut: Unveiling data leaks in password managers


Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting


Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates


Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models


Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions


Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers


Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model


Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences


Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping


Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning


Keeping up with the bits: tracking physical layer latency in millimeter-wave Wi-Fi networks


Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation


Keigo: Co-designing Log-Structured Merge Key-Value Stores with a Non-Volatile, Concurrency-aware Storage Hierarchy (Extended Version)


Keiki: Towards Realistic Danmaku Generation via Sequential GANs


KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images


Kellect: a Kernel-Based Efficient and Lossless Event Log Collector for Windows Security


Kelvin-Froude wake patterns of a traveling pressure disturbance


KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling


Kendall transformation: a robust representation of continuous data for information theory


Kendall's Tau for Two-Sample Inference Problems


Kepler Multi-Planet Systems Exhibit Unexpected Intra-system Uniformity in Mass and Radius


Kepler's Goat Herd: An Exact Solution to Kepler's Equation for Elliptical Orbits


Kepler-1708 b-i is likely undetectable with HST


KerGNNs: Interpretable Graph Neural Networks with Graph Kernels


Kermut: Composite kernel regression for protein variant effects


KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities


Kernalised Multi-resolution Convnet for Visual Tracking


Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels


Kernel Approximation using Analog In-Memory Computing


Kernel Assisted Learning for Personalized Dose Finding


Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification


Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values


Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data


Kernel Conditional Moment Constraints for Confounding Robust Inference


Kernel Conditional Moment Test via Maximum Moment Restriction


Kernel Cox partially linear regression: building predictive models for cancer patients' survival


Kernel Density Bayesian Inverse Reinforcement Learning


Kernel Diffusion: An Alternate Approach to Blind Deconvolution


Kernel Exponential Family Estimation via Doubly Dual Embedding


Kernel Feature Selection via Conditional Covariance Minimization


Kernel Graph Convolutional Neural Networks


Kernel Heterogeneity Improves Sparseness of Natural Images Representations


Kernel Interpolation as a Bayes Point Machine


Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities


Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel


Kernel Learning for Explainable Climate Science


Kernel Learning for High-Resolution Time-Frequency Distribution


Kernel Learning for Robust Dynamic Mode Decomposition: Linear and Nonlinear Disambiguation Optimization (LANDO)


Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences


Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression


Kernel Methods are Competitive for Operator Learning


Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator


Kernel Methods in the Deep Ritz framework: Theory and practice


Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies


Kernel Normalized Convolutional Networks


Kernel Proposal Network for Arbitrary Shape Text Detection


Kernel Quantile Embeddings and Associated Probability Metrics


Kernel Relative-prototype Spectral Filtering for Few-shot Learning


Kernel Single Proxy Control for Deterministic Confounding


Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data


Kernel Stein Discrepancy on Lie Groups: Theory and Applications


Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization


Kernel Two-Sample Tests for Manifold Data


Kernel based quantum machine learning at record rate : Many-body distribution functionals as compact representations


Kernel compensation method for Maxwell eigenproblem with mimetic finite difference discretization


Kernel computations from large-scale random features obtained by Optical Processing Units


Kernel learning approaches for summarising and combining posterior similarity matrices


Kernel methods for evolution of generalized parton distributions


Kernel methods library for pattern analysis and machine learning in python


Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and $H_0$ inference


Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection


Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes


Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter


Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages


Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization


Kernel-Based Reinforcement Learning: A Finite-Time Analysis


Kernel-Based Tests for Likelihood-Free Hypothesis Testing


Kernel-aware Burst Blind Super-Resolution


Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series


Kernel-based Minimal Distributed Charges: A Conformationally Dependent ESP-Model for Molecular Simulations


Kernel-based Substructure Exploration for Next POI Recommendation


Kernel-based Translations of Convolutional Networks


Kernel-based estimators for functional causal effects


Kernel-based independence tests for causal structure learning on functional data


Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering


KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters


KernelGPT: Enhanced Kernel Fuzzing via Large Language Models


KernelOracle: Predicting the Linux Scheduler's Next Move with Deep Learning


Kernelized Bayesian Softmax for Text Generation


Kernelized Hashcode Representations for Relation Extraction


Kernelized Heterogeneous Risk Minimization


Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks


Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem


Kerr Geodesics in Terms of Weierstrass Elliptic Functions


Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation


Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection


Key Frame Mechanism For Efficient Conformer Based End-to-end Speech Recognition


Key Frame Proposal Network for Efficient Pose Estimation in Videos


Key Information Extraction From Documents: Evaluation And Generator


Key Management Based on Ownership of Multiple Authenticators in Public Key Authentication


Key Patch Proposer: Key Patches Contain Rich Information


Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis


Key Protected Classification for Collaborative Learning


Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection


Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors


Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos


KeyPoint Relative Position Encoding for Face Recognition


KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration


KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects


Keyfilter-Aware Real-Time UAV Object Tracking


Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference


Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing


KeypartX: Graph-based Perception (Text) Representation


Keyphrase Generation Beyond the Boundaries of Title and Abstract


Keyphrase Generation for Scientific Articles using GANs


Keyphrase Generation for Scientific Document Retrieval


Keyphrase Generation with Cross-Document Attention


Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning


Keypoint Autoencoders: Learning Interest Points of Semantics


Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation


Keypoint Message Passing for Video-based Person Re-Identification


Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation


Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach


KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints


KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations


Keypoints Tracking via Transformer Networks


Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving


Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks


Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand


Keystroke dynamics as signal for shallow syntactic parsing


Keyword Aware Influential Community Search in Large Attributed Graphs


Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring


Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers


Keyword localisation in untranscribed speech using visually grounded speech models


Keyword-Oriented Multimodal Modeling for Euphemism Identification


Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations


Kformer: Knowledge Injection in Transformer Feed-Forward Layers


Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques


Kharita: Robust Map Inference using Graph Spanners


Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments


KiDS+GAMA: Constraints on Horndeski gravity from combined large-scale structure probes


KiDS+VIKING+GAMA: Halo occupation distributions and correlations of satellite numbers with a new halo model of the galaxy-matter bispectrum for galaxy-galaxy-galaxy lensing


KiDS-1000: Cosmology with improved cosmic shear measurements


KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering


KiDS-Legacy calibration: unifying shear and redshift calibration with the SKiLLS multi-band image simulations


KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables


KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models


KidLM: Advancing Language Models for Children -- Early Insights and Future Directions


KidSat: satellite imagery to map childhood poverty dataset and benchmark


KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease


Killing Two Flies with One Stone: An Attempt to Break LLMs Using English->Icelandic Idioms and Proper Names


Killing it with Zero-Shot: Adversarially Robust Novelty Detection


Killing spinor-valued forms and their integrability conditions


Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism


Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information


Kilombo: a Kilobot simulator to enable effective research in swarm robotics


Kilonova modelling and parameter inference: Understanding uncertainties and evaluating compatibility between observations and models


KilonovaNet: Surrogate Models of Kilonova Spectra with Conditional Variational Autoencoders


KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors


KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis


Kinematic Detection of Anomalies in Human Trajectory Data


Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations


Kinematic Structures in Planet-Forming Disks


Kinematic analysis of structural mechanics based on convolutional neural network


Kinematic modelling of clusters with Gaia: the Death Throes of the Hyades


Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos


Kinematics and Mass Distributions for Non-Spherical Deprojected Sérsic Density Profiles and Applications to Multi-Component Galactic Systems


Kinematics of Antlia 2 and Crater 2 from The Southern Stellar Stream Spectroscopic Survey (S5)


Kinetic Flux Ropes: Bernstein-Greene-Kruskal Modes for the Vlasov-Poisson-Ampère System


Kinetic Inductive Electromechanical Transduction for Nanoscale Force Sensing


Kinetic Monte Carlo methods for three-dimensional diffusive capture problems in exterior domains


Kinetic Theory and Memory Effects of Homogeneous Inelastic Granular Gases under Nonlinear Drag


Kinetic blockings in long-range interacting inhomogeneous systems


Kinetic energy of eddy-like features from sea surface altimetry


Kinetic surface model in FESTIM: Verification and Validation


Kinetics and Free Energy of Ligand Dissociation Using Weighted Ensemble Milestoning


Kinetics: Rethinking Test-Time Scaling Laws


Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks


Kinetostatic Analysis for 6RUS Parallel Continuum Robot using Cosserat Rod Theory


Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner


KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments


Kiri-Spoon: A Kirigami Utensil for Robot-Assisted Feeding


Kirigami: large convolutional kernels improve deep learning-based RNA secondary structure prediction


Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas


Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation


Kissing number in non-Euclidean spaces of constant sectional curvature


Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities


KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks


KitchenScale: Learning to predict ingredient quantities from recipe contexts


Kivi: Verification for Cluster Management


Kleinian sphere packings, reflection groups, and arithmeticity


Klexikon: A German Dataset for Joint Summarization and Simplification


KmerCo: A lightweight K-mer counting technique with a tiny memory footprint


Kmerlight: fast and accurate k-mer abundance estimation


KnAC: an approach for enhancing cluster analysis with background knowledge and explanations


Knapsack Pruning with Inner Distillation


Knee Cartilage Segmentation Using Diffusion-Weighted MRI


Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)


Knee Point Identification Based on Trade-Off Utility


Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance


Knee-Deep in C-RASP: A Transformer Depth Hierarchy


Knizhnik-Zamolodchikov equations and integrable hyperbolic Landau-Zener models


KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models


Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery


Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent


Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels


Knot Selection in Sparse Gaussian Processes with a Variational Objective Function


Knot So Simple: A Minimalistic Environment for Spatial Reasoning


Knot intensity distribution: a local measure of entanglement


Knot-detection algorithm to measure viscosity in three-dimensional MHD plasmas


KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphs


Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale


Know Or Not: a library for evaluating out-of-knowledge base robustness


Know Thyself: Transferable Visual Control Policies Through Robot-Awareness


Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL


Know When to Abstain: Optimal Selective Classification with Likelihood Ratios


Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain


Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles


Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum


Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features


Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection


Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks


Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling


Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets


Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning


Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training


Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest


Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis


Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning


Know thy corpus! Robust methods for digital curation of Web corpora


Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman


Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs


Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models


Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs


Know2Vec: A Black-Box Proxy for Neural Network Retrieval


Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering


KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents


KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research


KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking


KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation


KnowMAN: Weakly Supervised Multinomial Adversarial Networks


KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection


KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation


KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality


KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing


KnowTuning: Knowledge-aware Fine-tuning for Large Language Models


Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems


Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion


Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection


Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction


Knowing More About Questions Can Help: Improving Calibration in Question Answering


Knowing The What But Not The Where in Bayesian Optimization


Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning


Knowing What to Label for Few Shot Microscopy Image Cell Segmentation


Knowing Where and What: Unified Word Block Pretraining for Document Understanding


Knowing Where to Focus: Event-aware Transformer for Video Grounding


Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing


Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation


Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding


Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization


Knowing what you know in brain segmentation using Bayesian deep neural networks


Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals


Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting


Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models


Knowledge Association with Hyperbolic Knowledge Graph Embeddings


Knowledge Authoring with Factual English


Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs


Knowledge Base Completion for Constructing Problem-Oriented Medical Records


Knowledge Base Completion for Long-Tail Entities


Knowledge Base Question Answering by Case-based Reasoning over Subgraphs


Knowledge Base Question Answering for Space Debris Queries


Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training


Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent


Knowledge Bridger: Towards Training-free Missing Modality Completion


Knowledge Bridging for Empathetic Dialogue Generation


Knowledge Combination to Learn Rotated Detection Without Rotated Annotation


Knowledge Composition using Task Vectors with Learned Anisotropic Scaling


Knowledge Corpus Error in Question Answering


Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models


Knowledge Distillation By Sparse Representation Matching


Knowledge Distillation For Wireless Edge Learning


Knowledge Distillation Layer that Lets the Student Decide


Knowledge Distillation Meets Open-Set Semi-Supervised Learning


Knowledge Distillation Meets Self-Supervision


Knowledge Distillation Performs Partial Variance Reduction


Knowledge Distillation approach towards Melanoma Detection


Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability


Knowledge Distillation as Semiparametric Inference


Knowledge Distillation based Degradation Estimation for Blind Super-Resolution


Knowledge Distillation for BERT Unsupervised Domain Adaptation


Knowledge Distillation for Brain Tumor Segmentation


Knowledge Distillation for Feature Extraction in Underwater VSLAM


Knowledge Distillation for Singing Voice Detection


Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation


Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification


Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT


Knowledge Distillation from Single to Multi Labels: an Empirical Study


Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed


Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance


Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection


Knowledge Distillation with Adversarial Samples Supporting Decision Boundary


Knowledge Distillation with Refined Logits


Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations


Knowledge Editing on Black-box Large Language Models


Knowledge Editing through Chain-of-Thought


Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering


Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction


Knowledge Embedding Based Graph Convolutional Network


Knowledge Enhanced Conditional Imputation for Healthcare Time-series


Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation


Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks


Knowledge Enhanced Model for Live Video Comment Generation


Knowledge Enhanced Multi-intent Transformer Network for Recommendation


Knowledge Enhanced Neural Networks for relational domains


Knowledge Equivalence in Digital Twins of Intelligent Systems


Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models


Knowledge Generation -- Variational Bayes on Knowledge Graphs


Knowledge Gradient for Selection with Covariates: Consistency and Computation


Knowledge Grafting of Large Language Models


Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation


Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis


Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training


Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction


Knowledge Graph Completion using Structural and Textual Embeddings


Knowledge Graph Completion with Mixed Geometry Tensor Factorization


Knowledge Graph Context-Enhanced Diversified Recommendation


Knowledge Graph Contrastive Learning for Recommendation


Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review


Knowledge Graph Embedding by Normalizing Flows


Knowledge Graph Embedding for Link Prediction: A Comparative Analysis


Knowledge Graph Embedding with Iterative Guidance from Soft Rules


Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks


Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned


Knowledge Graph Error Detection with Contrastive Confidence Adaption


Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization


Knowledge Graph Prompting for Multi-Document Question Answering


Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?


Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis


Knowledge Graph Question Answering using Graph-Pattern Isomorphism


Knowledge Graph Reasoning over Entities and Numerical Values


Knowledge Graph Reasoning with Self-supervised Reinforcement Learning


Knowledge Graph Refinement based on Triplet BERT-Networks


Knowledge Graph Self-Supervised Rationalization for Recommendation


Knowledge Graph Simple Question Answering for Unseen Domains


Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery


Knowledge Graph for Microdata of Statistics Netherlands


Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward


Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot Applications


Knowledge Graph-Enhanced Large Language Models via Path Selection


Knowledge Graph-Guided Retrieval Augmented Generation


Knowledge Graph-based Question Answering with Electronic Health Records


Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching


Knowledge Graph-enhanced Sampling for Conversational Recommender System


Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey


Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems


Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities


Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs


Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos


Knowledge Hypergraph Embedding Meets Relational Algebra


Knowledge Inheritance for Pre-trained Language Models


Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion


Knowledge Islands: Visualizing Developers Knowledge Concentration


Knowledge Matters: Importance of Prior Information for Optimization


Knowledge Mining with Scene Text for Fine-Grained Recognition


Knowledge Neurons in Pretrained Transformers


Knowledge Perceived Multi-modal Pretraining in E-commerce


Knowledge Prompt-tuning for Sequential Recommendation


Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding


Knowledge Refactoring for Inductive Program Synthesis


Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing


Knowledge Removal in Sampling-based Bayesian Inference


Knowledge Restore and Transfer for Multi-label Class-Incremental Learning


Knowledge Rumination for Pre-trained Language Models


Knowledge Sanitization of Large Language Models


Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding


Knowledge Swapping via Learning and Unlearning


Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization


Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning


Knowledge Transfer Graph for Deep Collaborative Learning


Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach


Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models


Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function


Knowledge Transfer via Dense Cross-Layer Mutual-Distillation


Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons


Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation


Knowledge Transfer, Knowledge Gaps, and Knowledge Silos in Citation Networks


Knowledge Transfer-Driven Few-Shot Class-Incremental Learning


Knowledge Translation: A New Pathway for Model Compression


Knowledge Unlearning for Mitigating Privacy Risks in Language Models


Knowledge Verification to Nip Hallucination in the Bud


Knowledge and Freedom: Evidence on the Relationship Between Information and Paternalism


Knowledge boosting during low-latency inference


Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan