UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification


UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language


UITrans: Seamless UI Translation from Android to HarmonyOS


UIU-Net: U-Net in U-Net for Infrared Small Object Detection


UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation


UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification


UKPGAN: A General Self-Supervised Keypoint Detector


UL-DL duality for cell-free massive MIMO with per-AP power and information constraints


UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Search


ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy


ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection


ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning


ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise Preference


ULN: Towards Underspecified Vision-and-Language Navigation


ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges


ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks


ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt


ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment


ULX pulsar Swift J0243.6+6124 observations with NuSTAR -- dominance of reflected emission in the super-Eddington state


UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs


UMAD: University of Macau Anomaly Detection Benchmark Dataset


UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style


UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor


UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions


UMERegRobust -- Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration


UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts


UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models


UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding


UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning


UMIE: Unified Multimodal Information Extraction with Instruction Tuning


UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction


UMIT: Unifying Medical Imaging Tasks via Vision-Language Models


UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup


UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization


UMONS Submission for WMT18 Multimodal Translation Task


UMS: Live Migration of Containerized Services across Autonomous Computing Systems


UMSE: Unified Multi-scenario Summarization Evaluation


UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner


UMap: Enabling Application-driven Optimizations for Page Management


UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis


UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units


UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring


UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection


UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images


UNADON: Transformer-based model to predict genome-wide chromosome spatial position


UNB StepUP: A footStep database for gait analysis and recognition using Underfoot Pressure


UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models


UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning


UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation


UNGOML: Automated Classification of unsafe Usages in Go


UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning


UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark


UNICORN: A Unified Backdoor Trigger Inversion Framework


UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats


UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection


UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning


UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation


UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers


UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit Representation


UNIMO-2: End-to-End Unified Vision-Language Grounded Learning


UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation


UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes


UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation


UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text


UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data


UNIREX: A Unified Learning Framework for Language Model Rationale Extraction


UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction


UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening


UNITE: A Unified Benchmark for Text-to-SQL Evaluation


UNITER-Based Situated Coreference Resolution with Rich Multimodal Input


UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models


UNKs Everywhere: Adapting Multilingual Language Models to New Scripts


UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking


UNO: Unlearning via Orthogonalization in Generative models


UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification


UNSAT Solver Synthesis via Monte Carlo Forest Search


UNSEE: Unsupervised Non-contrastive Sentence Embeddings


UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate


UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction


UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework


UNeXt: MLP-based Rapid Medical Image Segmentation Network


UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting


UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images


UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM


UOD: Universal One-shot Detection of Anatomical Landmarks


UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems


UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction


UP-Person: Unified Parameter-Efficient Transfer Learning for Text-based Person Retrieval


UP5: Unbiased Foundation Model for Fairness-aware Recommendation


UPANets: Learning from the Universal Pixel Attention Networks


UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification


UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum


UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning


UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning


UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer


UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation


UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion


UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation


UPSNet: A Unified Panoptic Segmentation Network


UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene


UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims


UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers


UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making


UQ for Credit Risk Management: A deep evidence regression approach


UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering


UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs


UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models


UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior


URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments


URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation


URCDM: Ultra-Resolution Image Synthesis in Histopathology


URET: Universal Robustness Evaluation Toolkit (for Evasion)


URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming


URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base


URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression


URLLC with Massive MIMO: Analysis and Design at Finite Blocklength


URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics


URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks


URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning


URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration


UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model


US COVID-19 school closure was not cost-effective, but other measures were


USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset


USAT: A Universal Speaker-Adaptive Text-to-Speech Approach


USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields


USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models


USB: A Unified Summarization Benchmark Across Tasks and Domains


USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments


USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation


USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series


USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation


USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations


USE: Dynamic User Modeling with Stateful Sequence Models


USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction


USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval


USER: Unsupervised Structural Entropy-based Robust Graph Neural Network


USEV: Universal Speaker Extraction with Visual Cue


USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data


USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining


USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds


USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretch


USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR


USP: A Unified Sequence Parallelism Approach for Long Context Generative AI


USP: Unified Self-Supervised Pretraining for Image Generation and Understanding


USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions


USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition


USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery


USeR: A Web-based User Story eReviewer for Assisted Quality Optimizations


USimAgent: Large Language Models for Simulating Search Users


USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis


UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-Guided Feature Synthesis


UTBoost: Gradient Boosted Decision Trees for Uplift Modeling


UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench


UTLDR: an agent-based framework for modeling infectious diseases and public interventions


UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection


UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts


UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models


UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation


UTRNet: High-Resolution Urdu Text Recognition In Printed Documents


UTS submission to Google YouTube-8M Challenge 2017


UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration


UTTG_ A Universal Teleoperation Approach via Online Trajectory Generation


UTrack: Multi-Object Tracking with Uncertain Detections


UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation


UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction


UV Transmission in Natural Waters on Prebiotic Earth


UV Volumes for Real-time Rendering of Editable Free-view Human Performance


UV to near-IR observations of the DART-Dimorphos collision


UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images


UV-Net: Learning from Boundary Representations


UV-SAM: Adapting Segment Anything Model for Urban Village Identification


UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping


UV-Visible Absorption Spectra of Solvated Molecules by Quantum Chemical Machine Learning


UV-free Texture Generation with Denoising and Geodesic Heat Diffusions


UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation


UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention


UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation


UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation


UVDoc: Neural Grid-based Document Unwarping


UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?


UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement


UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms


UVIT view of Centaurus A; a detailed study on positive AGN feedback


UVMap-ID: A Controllable and Personalized UV Map Generative Model


UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model


UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware


UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps


UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction


UVeQFed: Universal Vector Quantization for Federated Learning


UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information


UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction


UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement


UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN


UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing


UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer


UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing


UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset


UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design


UXsim: An open source macroscopic and mesoscopic traffic simulator in Python -- a technical overview


Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing


UbiMoE: A Ubiquitous Mixture-of-Experts Vision Transformer Accelerator With Hybrid Computation Pattern on FPGA


Ubiquitous topological states of phonons in solids: Silicon as a model material


UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers


Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language


Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation


UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection


Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation


Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression


Ultra Fast Medoid Identification via Correlated Sequential Halving


Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging


Ultra Lite Convolutional Neural Network for Fast Automatic Modulation Classification in Low-Resource Scenarios


Ultra Long Gamma-Ray Bursts from the collapse of Blue Super Giant stars: an end-to-end simulation


Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography


Ultra Sharp : Study of Single Image Super Resolution using Residual Dense Network


Ultra-Fast Adaptive Track Detection Network


Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model


Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark


Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer


Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution


Ultra-High-Energy Gamma-Ray Bubble around Microquasar V4641 Sgr


Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging


Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging


Ultra-Slow-Roll Inflation on the Lattice I: Backreaction and Nonlinear Effects


Ultra-Wideband Positioning System Based on ESP32 and DWM3000 Modules


Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors


Ultra-efficient MCMC for Bayesian longitudinal functional data analysis


Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference


Ultra-high Dimensional Variable Selection for Doubly Robust Causal Inference


Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local Enhancement


Ultra-high dimensional confounder selection algorithms comparison with application to radiomics data


Ultra-high spatial resolution BOLD fMRI in humans using combined segmented-accelerated VFA-FLEET with a recursive RF pulse design


Ultra-large alignments using Phylogeny-aware Profiles


Ultra-light deep MIR by trimming lottery tickets


Ultra-low noise, bi-polar, programmable current sources


Ultra-low-power Image Classification on Neuromorphic Hardware


Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees


Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional network


UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations


UltraDark.jl: A Julia package for simulation of cosmological scalar fields


UltraEdit: Instruction-based Fine-Grained Image Editing at Scale


UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models


UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs


UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework


UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation


UltraIF: Advancing Instruction Following from the Wild


UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation


UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset


UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting


UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model


UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation


UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution


UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets


UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions


UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities


Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography


Ultrafast Image Categorization in Biology and Neural Models


Ultrafast critical ground state preparation via bang-bang protocols


Ultrafast jet classification on FPGAs for the HL-LHC


Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections


Ultralight dark matter detection with levitated ferromagnets


Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail


Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models


Ultrasound Image Enhancement using CycleGAN and Perceptual Loss


Ultrasound Image Enhancement with the Variance of Diffusion Models


Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models


Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models


Ultrasound Imaging based on the Variance of a Diffusion Restoration Model


Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation


Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images


Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation


Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions


Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis


Ultraviolet Spectropolarimetry: Investigating stellar magnetic field diagnostics


Ultraviolet astronomical spectrograph calibration with laser frequency combs from nanophotonic lithium niobate waveguides


Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional


Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications


Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems


UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus


Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning


Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation


UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors


UnDiFi-2D: an Unstructured Discontinuity Fitting code for 2D grids


UnGANable: Defending Against GAN-based Face Manipulation


UnICORNN: A recurrent model for learning very long time dependencies


UnMarker: A Universal Attack on Defensive Image Watermarking


UnMask: Adversarial Detection and Defense Through Robust Feature Alignment


UnPuzzle: A Unified Framework for Pathology Image Analysis


UnQovering Stereotyping Biases via Underspecified Questions


UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model


UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters


UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks


UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering


UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning


Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings


Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat


Unbalanced Optimal Transport for Unbalanced Word Alignment


Unbalanced Optimal Transport: A Unified Framework for Object Detection


Unbalanced minibatch Optimal Transport; applications to Domain Adaptation


Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms


Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation


Unbending strategies shepherd cooperation and suppress extortion in spatial populations


Unbiased Active Inference for Classical Control


Unbiased Auxiliary Classifier GANs with MINE


Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations


Unbiased Collaborative Filtering with Fair Sampling


Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction


Unbiased Estimation for Total Treatment Effect Under Interference Using Aggregated Dyadic Data


Unbiased Estimation using Underdamped Langevin Dynamics


Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance


Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies


Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network


Unbiased Knowledge Distillation for Recommendation


Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm


Unbiased Learning of Deep Generative Models with Structured Discrete Representations


Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset


Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance


Unbiased Learning to Rank with Unbiased Propensity Estimation


Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs


Unbiased Markov chain quasi-Monte Carlo for Gibbs samplers


Unbiased Mean Teacher for Cross-domain Object Detection


Unbiased Measurement of Feature Importance in Tree-Based Methods


Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks


Unbiased Multi-Modality Guidance for Image Inpainting


Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection


Unbiased Pairwise Learning to Rank in Recommender Systems


Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques


Unbiased Scene Graph Generation in Videos


Unbiased Shape Compactness for Segmentation


Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation


Unbiased Supervised Contrastive Learning


Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors


Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition


Unbiased `walk-on-spheres' Monte Carlo methods for the fractional Laplacian


Unbiased and Consistent Nested Sampling via Sequential Monte Carlo


Unbiased and Efficient Estimation of Causal Treatment Effects in Cross-over Trials


Unbiased and Efficient Self-Supervised Incremental Contrastive Learning


Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes


Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation


Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo


Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo


Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation


Unbiased estimation of sampling variance for Simpson's diversity index


Unbiased estimation of second-order parameter sensitivities for stochastic reaction networks


Unbiased estimators and multilevel Monte Carlo


Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model


UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks


Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution


Unbinned Inference with Correlated Events


Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning


Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree


Unboxing the graph: Neural Relational Inference for Mobility Prediction


Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles


UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty


UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM


UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network


UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography


Uncertain Machine Ethical Decisions Using Hypothetical Retrospection


Uncertain Time Series Classification With Shapelet Transform


UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model


Uncertainty Analysis of Limit Cycle Oscillations in Nonlinear Dynamical Systems with the Fourier Generalized Polynomial Chaos Expansion


Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection


Uncertainty Aware Learning for High Energy Physics


Uncertainty Aware Semi-Supervised Learning on Graph Data


Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data


Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study


Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation


Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset


Uncertainty Detection and Reduction in Neural Decoding of EEG Signals


Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition


Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction


Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach


Uncertainty Estimation and Sample Selection for Crowd Counting


Uncertainty Estimation by Density Aware Evidential Deep Learning


Uncertainty Estimation by Fisher Information-based Evidential Deep Learning


Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings


Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior


Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization


Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior


Uncertainty Estimation in One-Stage Object Detection


Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission


Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation


Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction


Uncertainty Guided Global Memory Improves Multi-Hop Question Answering


Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction


Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining


Uncertainty Guided Refinement for Fine-Grained Salient Object Detection


Uncertainty Inspired Underwater Image Enhancement


Uncertainty Intervals for Prediction Errors in Time Series Forecasting


Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator


Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization


Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling


Uncertainty Propagation in Deep Neural Network Using Active Subspace


Uncertainty Propagation in the Fast Fourier Transform


Uncertainty Quantification Using Neural Networks for Molecular Property Prediction


Uncertainty Quantification and Decomposition for LLM-based Recommendation


Uncertainty Quantification and Deep Ensembles


Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference


Uncertainty Quantification and the Marginal MDP Model


Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests


Uncertainty Quantification for Fairness in Two-Stage Recommender Systems


Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution


Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation


Uncertainty Quantification for Image-based Traffic Prediction across Cities


Uncertainty Quantification for In-Context Learning of Large Language Models


Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method


Uncertainty Quantification for Local Model Explanations Without Model Access


Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search


Uncertainty Quantification for Scale-Space Blob Detection


Uncertainty Quantification for cross-subject Motor Imagery classification


Uncertainty Quantification in Anomaly Detection with Cross-Conformal $p$-Values


Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases


Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model


Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial


Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks


Uncertainty Quantification in Retrieval Augmented Question Answering


Uncertainty Quantification in SVM prediction


Uncertainty Quantification in Table Structure Recognition


Uncertainty Quantification in Working Memory via Moment Neural Networks


Uncertainty Quantification of Nonlinear Lagrangian Data Assimilation Using Linear Stochastic Forecast Models


Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks


Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks


Uncertainty Quantification of Surrogate Models using Conformal Prediction


Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball


Uncertainty Quantification on Clinical Trial Outcome Prediction


Uncertainty Quantification over Graph with Conformalized Graph Neural Networks


Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation


Uncertainty Quantification with Bayesian Higher Order ReLU KANs


Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis


Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions


Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss


Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models


Uncertainty Visualization via Low-Dimensional Posterior Projections


Uncertainty Voting Ensemble for Imbalanced Deep Regression


Uncertainty Weighted Gradients for Model Calibration


Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks


Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints


Uncertainty for Identifying Open-Set Errors in Visual Object Detection


Uncertainty for SVBRDF Acquisition using Frequency Analysis


Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool


Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models


Uncertainty in Language Models: Assessment through Rank-Calibration


Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification


Uncertainty in Neural Networks: Approximately Bayesian Ensembling


Uncertainty in Neural Relational Inference Trajectory Reconstruction


Uncertainty in Repeated Implicit Feedback as a Measure of Reliability


Uncertainty in latent representations of variational autoencoders optimized for visual tasks


Uncertainty in phylogenetic tree estimates


Uncertainty in solar wind forcing explains polar cap potential saturation


Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models


Uncertainty on Asynchronous Time Event Prediction


Uncertainty quantification and estimation in differential dynamic microscopy


Uncertainty quantification and out-of-distribution detection using surjective normalizing flows


Uncertainty quantification by direct propagation of shallow ensembles


Uncertainty quantification for data-driven weather models


Uncertainty quantification for predictions of atomistic neural networks


Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction


Uncertainty quantification in automated valuation models with spatially weighted conformal prediction


Uncertainty quantification in fine-tuned LLMs using LoRA ensembles


Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation


Uncertainty quantification in medical image segmentation with normalizing flows


Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo


Uncertainty quantification of optical models in fission fragment de-excitation


Uncertainty with UAV Search of Multiple Goal-oriented Targets


Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation


Uncertainty-Aware AB3DMOT by Variational 3D Object Detection


Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms


Uncertainty-Aware Bayes' Rule and Its Applications


Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings


Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data


Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End


Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space


Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging


Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies


Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning


Uncertainty-Aware Evaluation for Vision-Language Models


Uncertainty-Aware Graph Structure Learning


Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning


Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning


Uncertainty-Aware Label Refinement for Sequence Labeling


Uncertainty-Aware Machine Translation Evaluation


Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging


Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction


Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection


Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation


Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing


Uncertainty-Aware Reliable Text Classification


Uncertainty-Aware Reward-Free Exploration with General Function Approximation


Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization


Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks


Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation


Uncertainty-Aware Signal Temporal Logic Inference


Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer


Uncertainty-Aware Test Prioritization: Approaches and Empirical Evaluation


Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records


Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models


Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification


Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction


Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection


Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss


Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation


Uncertainty-Based Ensemble Learning For Speech Classification


Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos


Uncertainty-DTW for Time Series and Sequences


Uncertainty-Driven Active Vision for Implicit Scene Reconstruction


Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection


Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices


Uncertainty-Guided Optimization on Large Language Model Search Trees


Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation


Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology


Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction


Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation


Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors


Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition


Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation


Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control


Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection


Uncertainty-aware Label Distribution Learning for Facial Expression Recognition


Uncertainty-aware LiDAR Panoptic Segmentation


Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding


Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning


Uncertainty-aware Sensitivity Analysis Using Rényi Divergences


Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting


Uncertainty-aware Traffic Prediction under Missing Data


Uncertainty-aware Unsupervised Multi-Object Tracking


Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model


Uncertainty-aware predictions of molecular X-ray absorption spectra using neural network ensembles


Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions


Uncertainty-based Continual Learning with Adaptive Regularization


Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation


Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions


Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI


Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials


Uncertainty-boosted Robust Video Activity Anticipation


Uncertainty-driven Planner for Exploration and Navigation


Uncertainty-driven Sampling for Efficient Pairwise Comparison Subjective Assessment


Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning


Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection


Uncertainty-guided Source-free Domain Adaptation


Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation


Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation


UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection


UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty Estimation


UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking


Unchain the Search Space with Hierarchical Differentiable Architecture Search


Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large Language Models with CheckboxQA


Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast


Unclocklike oscillators with frequency memory for the entrainment of biological clocks


Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization


Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer


Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data


Unconditional stability of a recurrent neural circuit implementing divisive normalization


Unconditionally stable space-time isogeometric method for the linear Schrödinger equation


Unconstrained Binary Models of the Travelling Salesman Problem Variants for Quantum Optimization


Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19


Unconstrained Facial Action Unit Detection via Latent Feature Domain


Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations


Unconstrained Scene Generation with Locally Conditioned Radiance Fields


Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators


Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models


Unconventional Self-Similar Hofstadter Superconductivity from Repulsive Interactions


Unconventional delocalization in a family of 3D Lieb lattices


Unconventional mechanical and thermal behaviors of MOF CALF-20


Uncoordinated Access to Serverless Computing in MEC Systems for IoT


Uncoupled Learning of Differential Stackelberg Equilibria with Commitments


Uncoupled Regression from Pairwise Comparison Data


Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework


Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts


Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media


Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation


Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation


Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem


Uncovering ChatGPT's Capabilities in Recommender Systems


Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms


Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant


Uncovering Drivers of EU Carbon Futures with Bayesian Networks


Uncovering Emergent Spacetime Supersymmetry with Rydberg Atom Arrays


Uncovering Extreme Nonlinear Dynamics in Solids Through Time-Domain Field Analysis


Uncovering Implicit Gender Bias in Narratives through Commonsense Inference


Uncovering In-DRAM RowHammer Protection Mechanisms: A New Methodology, Custom RowHammer Patterns, and Implications


Uncovering Instabilities in Variational-Quantum Deep Q-Networks


Uncovering Intermediate Variables in Transformers using Circuit Probing


Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs


Uncovering Limitations of Large Language Models in Information Seeking from Tables


Uncovering Main Causalities for Long-tailed Information Extraction


Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes


Uncovering Optimal Attached Eddies in Wall-bounded Turbulence


Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines


Uncovering Population PK Covariates from VAE-Generated Latent Spaces


Uncovering Process Noise in LTV Systems via Kernel Deconvolution


Uncovering Safety Risks of Large Language Models through Concept Activation Vector


Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation


Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation


Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Spac


Uncovering and Categorizing Social Biases in Text-to-SQL


Uncovering bias in the PlantVillage dataset


Uncovering complementary information sharing in spider monkey collective foraging using higher-order spatial networks


Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation


Uncovering dark matter density profiles in dwarf galaxies with graph neural networks


Uncovering hidden geometry in Transformers via disentangling position and context


Uncovering inequalities in new knowledge learning by large language models across different languages


Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network


Uncovering multiscale structure in the variability of larval zebrafish navigation


Uncovering near-wall blood flow from sparse data with physics-informed neural networks


Uncovering nonequilibrium from unresolved events


Uncovering simultaneous breakthroughs with a robust measure of disruptiveness


Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation


Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs


Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems


Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models


Uncovering the Dynamics of the Wealth Distribution


Uncovering the Full Potential of Visual Grounding Methods in VQA


Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data


Uncovering the Hidden Dangers: Finding Unsafe Go Code in the Wild


Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL


Uncovering the Limits of Text-based Emotion Detection


Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling


Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction


Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study


Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient


Uncovering the Role of Support Infrastructure in Clickbait PDF Campaigns


Uncovering the Semantics of Wikipedia Categories


Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence


Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning


Uncovering the hidden core-periphery structure in hyperbolic networks


Uncovering the non-equilibrium stationary properties in sparse Boolean networks


Uncovering the true periods of the young sub-Neptunes orbiting TOI-2076


Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets


Uncurated Image-Text Datasets: Shedding Light on Demographic Bias


Under pressure: learning-based analog gauge reading in the wild


Under the Cover Infant Pose Estimation using Multimodal Data


Under the Skin of Foundation NFT Auctions


Under the Spotlight: Web Tracking in Indian Partisan News Websites


Under-Counted Tensor Completion with Neural Incorporation of Attributes


Under-Display Camera Image Restoration with Scattering Effect


UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup


Underdamped Diffusion Bridges with Applications to Sampling


Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification


Undersmoothing Causal Estimators with Generative Trees


Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews


Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective


Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation


Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network


Understanding "Democratization" in NLP and ML Research


Understanding 3D Object Interaction from a Single Image


Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem


Understanding Accretion Variability Through TESS Observations of Taurus


Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning


Understanding Adversarial Robustness from Feature Maps of Convolutional Layers


Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem


Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment


Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features


Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks


Understanding Architectures Learnt by Cell-based Neural Architecture Search


Understanding Attention and Generalization in Graph Neural Networks


Understanding Audio Features via Trainable Basis Functions


Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting


Understanding Bias in Large-Scale Visual Datasets


Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency


Understanding Bird's-Eye View of Road Semantics using an Onboard Camera


Understanding Bounding Functions in Safety-Critical UAV Software


Understanding Bulk-Bitwise Processing In-Memory Through Database Analytics


Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning


Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision


Understanding Cache Boundness of ML Operators on ARM Processors


Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping


Understanding Catastrophic Forgetting in Language Models via Implicit Inference


Understanding Catastrophic Overfitting in Single-step Adversarial Training


Understanding Client Reactions in Online Mental Health Counseling


Understanding Code Change with Micro-Changes


Understanding Code Semantics: An Evaluation of Transformer Models in Summarization


Understanding Collapse in Non-Contrastive Siamese Representation Learning


Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection


Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors


Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream


Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization


Understanding Dark Scenes by Contrasting Multi-Modal Observations


Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?


Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip


Understanding Deep Generative Models with Generalized Empirical Likelihoods


Understanding Deep Gradient Leakage via Inversion Influence Functions


Understanding Deep Networks via Extremal Perturbations and Smooth Masks


Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination


Understanding Differential Search Index for Text Retrieval


Understanding Dimensional Collapse in Contrastive Self-supervised Learning


Understanding Diversity in Session-Based Recommendation


Understanding Domain Learning in Language Models Through Subpopulation Analysis


Understanding Domain-Size Generalization in Markov Logic Networks


Understanding Echo Chambers in E-commerce Recommender Systems


Understanding Electricity-Theft Behavior via Multi-Source Data


Understanding Embodied Reference with Touch-Line Transformer


Understanding Expressivity of GNN in Rule Learning


Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors


Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics


Understanding Failures of Deep Networks via Robust Feature Extraction


Understanding Fairness Surrogate Functions in Algorithmic Fairness


Understanding Figurative Meaning through Explainable Visual Entailment


Understanding Fixed Predictions via Confined Regions


Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach


Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models


Understanding Game-Playing Agents with Natural Language Annotations


Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields


Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition


Understanding Gradient Descent through the Training Jacobian


Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond


Understanding Graph Convolutional Networks for Text Classification


Understanding Graph Neural Networks from Graph Signal Denoising Perspectives


Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms


Understanding Guided Image Captioning Performance across Domains


Understanding Hallucinations in Diffusion Models through Mode Interpolation


Understanding Hard Negatives in Noise Contrastive Estimation


Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions


Understanding Heating in Active Region Cores through Machine Learning I. Numerical Modeling and Predicted Observables


Understanding Heating in Active Region Cores through Machine Learning II. Classifying Observations


Understanding Higher-Order Correlations Among Semantic Components in Embeddings


Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning


Understanding Human Hands in Contact at Internet Scale


Understanding Hyperbolic Metric Learning through Hard Negative Sampling


Understanding Hyperdimensional Computing for Parallel Single-Pass Learning


Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective


Understanding Impact of Human Feedback via Influence Functions


Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation


Understanding In-Context Learning from Repetitions


Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu


Understanding Incentivized Mobile App Installs on Google Play Store


Understanding Inconsistency in Azure Cosmos DB with TLA+


Understanding Influence Maximization via Higher-Order Decomposition


Understanding Information Processing in Human Brain by Interpreting Machine Learning Models


Understanding Inhibition Through Maximally Tense Images


Understanding Instance-Level Impact of Fairness Constraints


Understanding Inter-Concept Relationships in Concept-Based Models


Understanding Interlocking Dynamics of Cooperative Rationalization


Understanding Interpersonal Conflict Types and their Impact on Perception Classification


Understanding Interventional TreeSHAP : How and Why it Works


Understanding Intrinsic Robustness Using Label Uncertainty


Understanding Isomorphism Bias in Graph Data Sets


Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning


Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models


Understanding Jargon: Combining Extraction and Generation for Definition Modeling


Understanding Kernel Size in Blind Deconvolution


Understanding Knowledge Drift in LLMs through Misinformation


Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges


Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach


Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective


Understanding Linearity of Cross-Lingual Word Embedding Mappings


Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetry


Understanding Local Robustness of Deep Neural Networks under Natural Variations


Understanding Long Videos with Multimodal Language Models


Understanding Masked Autoencoders via Hierarchical Latent Variable Models


Understanding Measures of Uncertainty for Adversarial Example Detection


Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics


Understanding Modality Preferences in Search Clarification


Understanding Model Robustness to User-generated Noisy Texts


Understanding Molecular Abundances in Star-Forming Regions Using Interpretable Machine Learning


Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks


Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data


Understanding NVMe Zoned Namespace (ZNS) Flash SSD Storage Devices


Understanding Narratives through Dimensions of Analogy


Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning


Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles


Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps


Understanding Noise-Augmented Training for Randomized Smoothing


Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective


Understanding Norm Change: An Evolutionary Game-Theoretic Approach (Extended Version)


Understanding Oversquashing in GNNs through the Lens of Effective Resistance


Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding


Understanding Points of Correspondence between Sentences for Abstractive Summarization


Understanding Politics via Contextualized Discourse Processing


Understanding Pooling in Graph Neural Networks


Understanding Privacy Norms through Web Forms


Understanding Probe Behaviors through Variational Bounds of Mutual Information


Understanding R1-Zero-Like Training: A Critical Perspective


Understanding Rare Spurious Correlations in Neural Networks


Understanding Real-world Threats to Deep Learning Models in Android Apps


Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation


Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms


Understanding Refusal in Language Models with Sparse Autoencoders


Understanding Representation Learnability of Nonlinear Self-Supervised Learning


Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects


Understanding Retrieval Robustness for Retrieval-Augmented Image Captioning


Understanding Revision Behavior in Adaptive Writing Support Systems for Education


Understanding Robust Overfitting of Adversarial Training and Beyond


Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions


Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning


Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data


Understanding Self-Supervised Pretraining with Part-Aware Representation Learning


Understanding Short-Horizon Bias in Stochastic Meta-Optimization


Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics


Understanding Smart Contracts: Hype or Hope?


Understanding Social Media Cross-Modality Discourse in Linguistic Space


Understanding Social-Force Model in Psychological Principles of Collective Behavior


Understanding Solidity Event Logging Practices in the Wild


Understanding Sparse JL for Feature Hashing


Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations


Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning


Understanding Stragglers in Large Model Training Using What-if Analysis


Understanding Structural Vulnerability in Graph Convolutional Networks


Understanding Synonymous Referring Expressions via Contrastive Features


Understanding The Robustness in Vision Transformers


Understanding Top-k Sparsification in Distributed Deep Learning


Understanding Traffic Density from Large-Scale Web Camera Data


Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques


Understanding Transformer Memorization Recall Through Idioms


Understanding Transformers for Bot Detection in Twitter


Understanding Transformers via N-gram Statistics


Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications


Understanding URDF: A Dataset and Analysis


Understanding URDF: A Survey Based on User Experience


Understanding Unimodal Bias in Multimodal Deep Linear Networks


Understanding Urban-Rural Disparities in Mobility Inefficiency for Colombia, Mexico, and India


Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study


Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance


Understanding Visual Concepts Across Models


Understanding WeChat User Preferences and "Wow" Diffusion


Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination


Understanding Why Adam Outperforms SGD: Gradient Heterogeneity in Transformers


Understanding Why Generalized Reweighting Does Not Improve Over ERM


Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective


Understanding YTHDF2-mediated mRNA Degradation By m6A-BERT-Deg


Understanding YouTube Communities via Subscription-based Channel Embeddings


Understanding Zero-Shot Adversarial Robustness for Large-Scale Models


Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection


Understanding active learning of molecular docking and its applications


Understanding algorithmic collusion with experience replay


Understanding and Accelerating Particle-Based Variational Inference


Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization


Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction


Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection


Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem


Understanding and Enhancing the Transferability of Jailbreaking Attacks


Understanding and Estimating the Execution Time of Quantum Programs


Understanding and Evaluating Racial Biases in Image Captioning


Understanding and Exploiting Design-Induced Latency Variation in Modern DRAM Chips


Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries


Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation


Understanding and Imitating Human-Robot Motion with Restricted Visual Fields


Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation


Understanding and Improving Artifact Sharing in Software Engineering Research


Understanding and Improving Early Stopping for Learning with Noisy Labels


Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning


Understanding and Improving Graph Injection Attack by Promoting Unnoticeability


Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders


Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data


Understanding and Improving Optimization in Predictive Coding Networks


Understanding and Improving Training-free Loss-based Diffusion Guidance


Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View


Understanding and Improving Visual Prompting: A Label-Mapping Perspective


Understanding and Improving the Exemplar-based Generation for Open-domain Conversation


Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training


Understanding and Measuring Psychological Stress using Social Media


Understanding and Mitigating Accuracy Disparity in Regression


Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing


Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models


Understanding and Mitigating Copying in Diffusion Models


Understanding and Mitigating Exploding Inverses in Invertible Neural Networks


Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models


Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis


Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks


Understanding and Mitigating the Limitations of Prioritized Experience Replay


Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems


Understanding and Mitigating the Tradeoff Between Robustness and Accuracy


Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation


Understanding and Overcoming the Challenges of Efficient Transformer Quantization


Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem


Understanding and Resolving Performance Degradation in Graph Convolutional Networks


Understanding and Robustifying Differentiable Architecture Search


Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions


Understanding and Visualizing Deep Visual Saliency Models


Understanding and contextualising diffusion models


Understanding and mitigating gradient pathologies in physics-informed neural networks


Understanding and visualizing the statistical analysis of SN1987A neutrino data


Understanding approximate and unrolled dictionary learning for pattern recovery


Understanding by Understanding Not: Modeling Negation in Language Models


Understanding cirrus clouds using explainable machine learning


Understanding collections of related datasets using dependent MMD coresets


Understanding colors of Dufaycolor: Can we recover them using historical colorimetric and spectral data?


Understanding complex predictive models with Ghost Variables


Understanding entropy production via a thermal zero-player game


Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques


Understanding jumps in high frequency digital asset markets


Understanding learning from EEG data: Combining machine learning and feature engineering based on hidden Markov models and mixed models


Understanding microbiome dynamics via interpretable graph representation learning


Understanding new tasks through the lens of training data via exponential tilting


Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables


Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images


Understanding of the properties of neural network approaches for transient light curve approximations


Understanding over-squashing and bottlenecks on graphs via curvature


Understanding peacefulness through the world news


Understanding quantum machine learning also requires rethinking generalization


Understanding reinforcement learned crowds


Understanding robustness and generalization of artificial neural networks through Fourier masks


Understanding team collapse via probabilistic graphical models


Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations


Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata


Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study


Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding


Understanding the Cluster LP for Correlation Clustering


Understanding the Cognitive Complexity in Language Elicited by Product Images


Understanding the Dependence of Perception Model Competency on Regions in an Image


Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators


Understanding the Downstream Instability of Word Embeddings


Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions


Understanding the Dynamics of DNNs Using Graph Modularity


Understanding the Effect of Model Compression on Social Bias in Large Language Models


Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment


Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation


Understanding the Effects of Human-written Paraphrases in LLM-generated Text Detection


Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark


Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units


Understanding the Effects of RLHF on LLM Generalisation and Diversity


Understanding the Emergence of Multimodal Representation Alignment


Understanding the Evolution of Linear Regions in Deep Reinforcement Learning


Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries


Understanding the Failure of Batch Normalization for Transformers in NLP


Understanding the Galactic population of normal pulsars: A leap forward


Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective


Understanding the Generalization Benefit of Model Invariance from a Data Perspective


Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study


Understanding the Impact of Adversarial Robustness on Accuracy Disparity


Understanding the Impact of Coalitions between EV Charging Stations


Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain


Understanding the Impact of Label Granularity on CNN-based Image Classification


Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis


Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems


Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models


Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review


Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry


Understanding the Learning Dynamics of Alignment with Human Feedback


Understanding the Limitations of CNN-based Absolute Camera Pose Regression


Understanding the Limitations of Network Online Learning


Understanding the Limitations of Variational Mutual Information Estimators


Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning


Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning


Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering


Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control


Understanding the Perceived Quality of Video Predictions


Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO


Understanding the Performance and Estimating the Cost of LLM Fine-Tuning


Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery


Understanding the Planetary Formation and Evolution in Star Clusters(UPiC)-I: Evidence of Hot Giant Exoplanets Formation Timescales


Understanding the Privacy Risks of Popular Search Engine Advertising Systems


Understanding the Process of Data Labeling in Cybersecurity


Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation


Understanding the Quality-Diversity Trade-off in Diffusion Language Models


Understanding the Repeat Curse in Large Language Models from a Feature Perspective


Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology


Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving


Understanding the Robustness of Graph Neural Networks against Adversarial Attacks


Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks


Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach


Understanding the Role of Equivariance in Self-supervised Learning


Understanding the Role of External Pull Requests in the NPM Ecosystem


Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?


Understanding the Role of Invariance in Transfer Learning


Understanding the Role of LLMs in Multimodal Evaluation Benchmarks


Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study


Understanding the Role of Momentum in Stochastic Gradient Methods


Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View


Understanding the Role of the Projector in Knowledge Distillation


Understanding the Safety Requirements for Learning-based Power Systems Operations


Understanding the Scalability of Hyperledger Fabric


Understanding the Sneaky Patterns of Pop-up Windows in the Mobile Ecosystem


Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks


Understanding the Transferability of Representations via Task-Relatedness


Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions


Understanding the Universal Dust Attenuation Scaling Relation of Star-Forming Galaxies


Understanding the Vulnerability of CLIP to Image Compression


Understanding the Weakness of Large Language Model Agents within a Complex Android Environment


Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks


Understanding the effects of language-specific class imbalance in multilingual fine-tuning


Understanding the impact of numerical solvers on inference for differential equation models


Understanding the mesoscopic scaling patterns within cities


Understanding the network formation pattern for better link prediction


Understanding the population structure correction regression


Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods


Understanding the role of intramolecular ion-pair interactions in conformational stability using an ab initio thermodynamic cycle


Understanding the surface wave characteristics using 2D particle-in-cell simulation and deep neural network


Understanding top-down attention using task-oriented ablation design


Understanding uncertainty in Bayesian cluster analysis


Understanding vehicular routing behavior with location-based service data


Understanding weight-magnitude hyperparameters in training binary networks


Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates


Understanding when spatial transformer networks do not support invariance, and what to do about it


Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis


Understanding whole-body inter-personal dynamics between two players using neural Granger causality as the explainable AI (XAI)


Understanding why shooters shoot -- An AI-powered engine for basketball performance profiling


Understanding writing style in social media with a supervised contrastively pre-trained transformer


Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL


Understood in Translation, Transformers for Domain Understanding


Underwater Fish Detection using Deep Learning for Water Power Applications


Underwater Image Enhancement based on Deep Learning and Image Formation Model


Underwater Image Enhancement by Convolutional Spiking Neural Networks


Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier


Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy


Underwater Image Enhancement with Cascaded Contrastive Learning


Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models


Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis


Underwater Image Restoration via Polymorphic Large Kernel CNNs


Underwater Light Field Retention : Neural Rendering for Underwater Imaging


Underwater Multi-Robot Convoying using Visual Tracking by Detection


Underwater Object Detection Enhancement via Channel Stabilization


Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future


Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation


Underwater Ranker: Learn Which Is Better and How to Be Better


Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial Intelligence


Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset


Underwater Soft Fin Flapping Motion with Deep Neural Network Based Surrogate Model


Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement


Underwater target detection based on improved YOLOv7


Undetected Error Probability in the Short Blocklength Regime: Approaching Finite-Blocklength Bounds with Polar Codes


Undiscounted Control Policy Generation for Continuous-Valued Optimal Control by Approximate Dynamic Programming


Undistillable: Making A Nasty Teacher That CANNOT teach students


Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation


Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data


Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset


Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits


Unemployment Volatility: When Workers Pay Costs upon Accepting Jobs


Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification


Unequal Journeys to Food Markets: Continental-Scale Evidence from Open Data in Africa


Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning


UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model


Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood


Unexpected clustering pattern in dwarf galaxies challenges formation models


Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains


Unfair Utilities and First Steps Towards Improving Them


Unfamiliar Finetuning Examples Control How Language Models Hallucinate


Unfiltered Conversations: A Dataset of 2024 U.S. Presidential Election Discourse on Truth Social


Unfitted Trefftz discontinuous Galerkin methods for elliptic boundary value problems


Unfitted finite element modelling of surface-bulk viscous flows in animal cells


Unfolded Deep Kernel Estimation for Blind Image Super-resolution


Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images


Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution


Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations


Unfolding Target Detection with State Space Model


Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization


Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature


Unfooling Perturbation-Based Post Hoc Explainers


Unfreezing Social Navigation: Dynamical Systems based Compliance for Contact Control in Robot Navigation


Ungar $\unicode{x2013}$ A C++ Framework for Real-Time Optimal Control Using Template Metaprogramming


Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens


Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models


Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems


Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE


Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts


Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition


Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks


Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization


Uni-PrevPredMap: Extending PrevPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction


Uni-Sign: Toward Unified Sign Language Understanding at Scale


Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model


Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation


Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video


UniASM: Binary Code Similarity Detection without Fine-tuning


UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization


UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing


UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner


UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models


UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities


UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling


UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation


UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation


UniBrain: A Unified Model for Cross-Subject Brain Decoding


UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding


UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens


UniCausal: Unified Benchmark and Repository for Causal Text Mining


UniCell: Universal Cell Nucleus Classification via Prompt Learning


UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning


UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification


UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild


UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues


UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation


UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control


UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline


UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control


UniDet3D: Multi-dataset Indoor 3D Object Detection


UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation


UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View


UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments


UniDrive: Towards Universal Driving Perception Across Camera Configurations


UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models


UniFIDES: Universal Fractional Integro-Differential Equation Solvers


UniFS: Universal Few-shot Instance Perception with Point Representations


UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving


UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation


UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks


UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks


UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding


UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction


UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows


UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters


UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation


UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection


UniFuse: Unidirectional Fusion for 360$^{\circ}$ Panorama Depth Estimation


UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification


UniGAD: Unifying Multi-level Graph Anomaly Detection


UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks


UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue


UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding


UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks


UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view Images


UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models


UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation


UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression


UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs


UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs


UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands


UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models


UniHCP: A Unified Model for Human-Centric Perceptions


UniHENN: Designing Faster and More Versatile Homomorphic Encryption-based CNNs without im2col


UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers


UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction


UniHead: Unifying Multi-Perception for Detection Heads


UniHuman: A Unified Model for Editing Human Images in the Wild


UniInst: Unique Representation for End-to-End Instance Segmentation


UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering


UniK3D: Universal Camera Monocular 3D Estimation


UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs


UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph


UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction


UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving


UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation


UniMAP: Model-free detection of unclassified noise transients in LIGO-Virgo data using the Temporal Outlier Factor


UniMAP: Universal SMILES-Graph Representation Learning


UniMASK: Unified Inference in Sequential Decision Problems


UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models


UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets


UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition


UniMTS: Unified Pre-training for Motion Time Series


UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation


UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery


UniMem: Towards a Unified View of Long-Context Large Language Models


UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier


UniMo: Universal Motion Correction For Medical Images without Network Retraining


UniMoCo: Unified Modality Completion for Robust Multi-Modal Embeddings


UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning


UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design


UniMuMo: Unified Text, Music and Motion Generation


UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning


UniNeXt: Exploring A Unified Architecture for Vision Recognition


UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling


UniNet: Unified Architecture Search with Convolution, Transformer, and MLP


UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving


UniPAD: A Universal Pre-training Paradigm for Autonomous Driving


UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models


UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning


UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding


UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory


UniPTMs: The First Unified Multi-type PTM Site Prediction Model via Master-Slave Architecture-Based Multi-Stage Fusion Strategy and Hierarchical Contrastive Loss


UniPTS: A Unified Framework for Proficient Post-Training Sparsity


UniParse: A universal graph-based parsing toolkit


UniParser: Multi-Human Parsing with Unified Correlation Representation Learning


UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization


UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization


UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editing


UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting


UniProcessor: A Text-induced Unified Low-level Image Processor


UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment


UniRAG: Universal Retrieval Augmentation for Large Vision Language Models


UniRE: A Unified Label Space for Entity Relation Extraction


UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning


UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning


UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation


UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models


UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations


UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces


UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction


UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity


UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning


UniSA: Unified Generative Framework for Sentiment Analysis


UniSAR: Modeling User Transition Behaviors between Search and Recommendation


UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction


UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules


UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection


UniSparse: An Intermediate Language for General Sparse Format Customization


UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs


UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization


UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects


UniT: Multimodal Multitask Learning with a Unified Transformer


UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling


UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings


UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation


UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation


UniTS: A Unified Multi-Task Time Series Model


UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning


UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation


UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting


UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading