Bootstrapping Persistent Betti Numbers and Other Stabilizing Statistics


Bootstrapping Referring Multi-Object Tracking


Bootstrapping Relation Extractors using Syntactic Search by Examples


Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception


Bootstrapping Text Anonymization Models with Distant Supervision


Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training


Bootstrapping Vision-Language Learning with Decoupled Language Pre-training


Bootstrapping World Models from Dynamics Models in Multimodal Foundation Models


Bootstrapping a Crosslingual Semantic Parser


Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data


Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings


Bootstrapping of memetic from genetic evolution via inter-agent selection pressures


Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels


Bootstrapping the Solutions of Scattering Equations


Borch: A Deep Universal Probabilistic Programming Language


BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation


Border effect corrections for diagonal line based recurrence quantification analysis measures


BorderDet: Border Feature for Dense Object Detection


Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision


Born a Transformer -- Always a Transformer?


Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization


Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery


Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification


Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity


Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning


Borrowing from yourself: Faster future video segmentation with partial channel update


Borrowing or Codeswitching? Annotating for Finer-Grained Distinctions in Language Mixing


Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint


BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation


BosonSampling.jl: A Julia package for quantum multi-photon interferometry


BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks


Bot or Human? Detecting ChatGPT Imposters with A Single Question


BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues


BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers


BotHawk: An Approach for Bots Detection in Open Source Software Projects


BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts


BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control


BotOrNot: A System to Evaluate Social Bots


BotPercent: Estimating Bot Populations in Twitter Communities


BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks


BotSim: LLM-Powered Malicious Social Botnet Simulation


BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection


BotanicGarden: A High-Quality Dataset for Robot Navigation in Unstructured Natural Environments


Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models


Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence


Both Text and Images Leaked! A Systematic Analysis of Multimodal LLM Data Contamination


Botometer 101: Social bot practicum for computational social scientists


Bots, Disinformation, and the First Trump Impeachment


BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets


BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle


BottleMod: Modeling Data Flows and Tasks for Fast Bottleneck Analysis


BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems


Bottleneck Conditional Density Estimation


Bottleneck Profiles and Discrete Prokhorov Metrics for Persistence Diagrams


Bottleneck-Minimal Indexing for Generative Document Retrieval


Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility


Bottlenecks in Blockchain Consensus Protocols


Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks


Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression


Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates


Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning


Bottom-Up Temporal Action Localization with Mutual Regularization


Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians


Bottom-up Broadcast Neural Network For Music Genre Classification


Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitions


Bouligand-Landweber iteration for a non-smooth ill-posed problem


Bouligand-Levenberg-Marquardt iteration for a non-smooth ill-posed inverse problem


Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces


Bouncing cosmology from nonlinear dark energy with two cosmological constants


Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification


Bound entangled states are useful in prepare-and-measure scenarios


BoundPlanner: A convex-set-based approach to bounded manipulator trajectory planning


BoundarEase: Fostering Constructive Community Engagement to Inform More Equitable Student Assignment Policies


Boundaries for quantum advantage with single photons and loop-based time-bin interferometers


Boundaries of the Amplituhedron with amplituhedronBoundaries


Boundary Aware U-Net for Glacier Segmentation


Boundary Conditions for the Parametric Kalman Filter forecast submited


Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correction


Boundary Difference Over Union Loss For Medical Image Segmentation


Boundary Discretization and Reliable Classification Network for Temporal Action Detection


Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification


Boundary Element Methods for the Laplace Hypersingular Integral Equation on Multiscreens: a two-level Substructuring Preconditioner


Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications


Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints


Boundary Exploration of Next Best View Policy in 3D Robotic Scanning


Boundary Guided Context Aggregation for Semantic Segmentation


Boundary Guided Learning-Free Semantic Control with Diffusion Models


Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System


Boundary IoU: Improving Object-Centric Image Segmentation Evaluation


Boundary State Generation for Testing and Improvement of Autonomous Driving Systems


Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation


Boundary determination for hybrid imaging from a single measurement


Boundary element method for the Dirichlet problem for Laplace's equation on a disk


Boundary homogenization for partially reactive patches


Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics


Boundary thickness and robustness in learning models


Boundary topological entanglement entropy in two and three dimensions


Boundary value problem of magnetically insulated diode: existence of solutions and complex bifurcation


Boundary-Aware Feature Propagation for Scene Segmentation


Boundary-Aware Uncertainty for Feature Attribution Explainers


Boundary-Denoising for Video Activity Localization


Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics


Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation


Boundary-assisted Region Proposal Networks for Nucleus Segmentation


Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval


Boundary-aware Context Neural Network for Medical Image Segmentation


Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation


Boundary-aware Self-supervised Learning for Video Scene Segmentation


Boundary-aware Transformers for Skin Lesion Segmentation


Boundary-based MWE segmentation with text partitioning


Boundary-element method to analyze acoustic scattering from a coupled swimbladder-fish body configuration


Boundary-induced and scene-aggregated network for monocular depth prediction


Boundary-semantic collaborative guidance network with dual-stream feedback mechanism for salient object detection in optical remote sensing imagery


Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation


BoundaryFace: A mining framework with noise label self-correction for Face Recognition


BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation


BoundarySqueeze: Image Segmentation as Boundary Squeezing


Bounded Guaranteed Algorithms for Concave Impurity Minimization Via Maximum Likelihood


Bounded Model Checking for Asynchronous Hyperproperties


Bounded P-values in Parametric Programming-based Selective Inference


Bounded Rationality Equilibrium Learning in Mean Field Games


Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications


Bounded and Unbiased Composite Differential Privacy


Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs


Bounded logit attention: Learning to explain image classifiers


Bounded-Confidence Models of Opinion Dynamics with Adaptive Confidence Bounds


Bounded-degree plane geometric spanners in practice


Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom


Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments


Bounding Box Tightness Prior for Weakly Supervised Image Segmentation


Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map


Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings


Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified


Bounding Causal Effects with Leaky Instruments


Bounding Counterfactuals under Selection Bias


Bounding Entanglement Entropy Using Zeros of Local Correlation Matrices


Bounding Escape Rates and Approximating Quasi-Stationary Distributions of Brownian Dynamics


Bounding Queue Delay in Cellular Networks to Support Ultra-Low Latency Applications


Bounding Real Tensor Optimizations via the Numerical Range


Bounding Wasserstein distance with couplings


Bounding and Approximating Intersectional Fairness through Marginal Fairness


Bounding and Filling: A Fast and Flexible Framework for Image Captioning


Bounding and simulating contextual correlations in quantum theory


Bounding integral points on the Siegel modular variety A_2(2)


Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints


Bounding the Distance to Unsafe Sets with Convex Optimization


Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks


Bounding the Optimal Value Function in Compositional Reinforcement Learning


Bounding the density of binary sphere packing


Bounding the separable rank via polynomial optimization


Bounding the sets of classical and quantum correlations in networks


Bounding the zeros of polynomials using the Frobenius companion matrix partitioned by the Cartesian decomposition


Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning


Bounding-box deep calibration for high performance face detection


Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes


Bounds and Codes for General Phased Burst Errors


Bounds for Bias-Adjusted Treatment Effect in Linear Econometric Models


Bounds for elimination of unknowns in systems of differential-algebraic equations


Bounds for the extremal eigenvalues of gain Laplacian matrices


Bounds in Wasserstein distance for locally stationary processes


Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation


Bounds on non-linear errors for variance computation with stochastic rounding


Bounds on the number of squares in recurrence sequences: arbitrary $b$, III


Bounds on velocity-dependent dark matter-proton scattering from Milky Way satellite abundance


Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis


Box Embeddings: An open-source library for representation learning using geometric structures


Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models


Box Replication Effects in Weak Lensing Light-cone Construction


Box Supervised Video Segmentation Proposal Network


Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration


Box-DETR: Understanding and Boxing Conditional Spatial Queries


Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks


Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation


Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution


BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance


BoxE: A Box Embedding Model for Knowledge Base Completion


BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation


BoxShrink: From Bounding Boxes to Segmentation Masks


BoxSnake: Polygonal Instance Segmentation with Box Supervision


BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation


BoxVIS: Video Instance Segmentation with Box Annotations


BoxeR: Box-Attention for 2D and 3D Transformers


BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery


BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning


BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis


Braced Fourier Continuation and Regression for Anomaly Detection


Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition


BrackishMOT: The Brackish Multi-Object Tracking Dataset


Braid relations for involution words in affine Coxeter groups


Braidlab: A Software Package for Braids and Loops


Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware


Braille to Text Translation for Bengali Language: A Geometric Approach


Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss


Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets


Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning


Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI


Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention


Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment


Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach


Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity


Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset


Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers


Brain Network Construction and Classification Toolbox (BrainNetClass)


Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data


Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques


Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System


Brain Tumor Detection Based on a Novel and High-Quality Prediction of the Tumor Pixel Distributions


Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction


Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet


Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis


Brain Tumor Synthetic Data Generation with Adaptive StyleGANs


Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease


Brain functions emerge as thermal equilibrium states of the connectome


Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle


Brain over Brawn: Using a Stereo Camera to Detect, Track, and Intercept a Faster UAV by Reconstructing the Intruder's Trajectory


Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models


Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution


Brain tumour segmentation using a triplanar ensemble of U-Nets


Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease


Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy


Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging


Brain-Inspired Deep Imitation Learning for Autonomous Driving Systems


Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models


Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach


Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking


Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network


Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma


Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review


Brain-inspired interpretable reservoir computing with resonant recurrent neural networks


Brain-inspired robust delineation operator


Brain-like representational straightening of natural movies in robust feedforward neural networks


Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed


Brain-to-Text Benchmark '24: Lessons Learned


Brain3D: Generating 3D Objects from fMRI


BrainBERT: Self-supervised representation learning for intracranial recordings


BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding


BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities


BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck


BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks


BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis


BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms


BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification


BrainOOD: Out-of-distribution Generalizable Brain Network Analysis


BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification


BrainViewer: interacting with spatial connectome data at the mesoscale


BrainWave: A Brain Signal Foundation Model for Clinical Applications


BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and Electrocardiogram


Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images


Brains and language models converge on a shared conceptual space across different languages


Branch Decomposition-Independent Edit Distances for Merge Trees


Branch Prediction in Hardcaml for a RISC-V 32im CPU


Branch Target Buffer Reverse Engineering on Arm


Branch and Price for Submodular Bin Packing


Branch and Price for the Length-Constrained Cycle Partition Problem


Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models


Branch-and-Bound Algorithms as Polynomial-time Approximation Schemes


Branch-and-Bound Performance Estimation Programming: A Unified Methodology for Constructing Optimal Optimization Methods


Branch-and-Price for the Stochastic TSP with Generalized Latency


BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach


Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*


Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering


Branching process descriptions of information cascades on Twitter


Branching via Cutting Plane Selection: Improving Hybrid Branching


Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing


Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement Analysis


Brand: Managing Training Data with Batched Random Access


Brauer-Manin obstructions on hyperelliptic curves


Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics


Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation


BrazilDAM: A Benchmark dataset for Tailings Dam Detection


Brazilian Portuguese Speech Recognition Using Wav2vec 2.0


Brazilian listed options with discrete dividends and the fast Laplace transform


BreachSeek: A Multi-Agent Automated Penetration Tester


Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack


Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets


Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback


Break It Down: Evidence for Structural Compositionality in Neural Networks


Break recovery in graphical networks with D-trace loss


Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks


Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition


Break-A-Scene: Extracting Multiple Concepts from a Single Image


Break-It-Fix-It: Unsupervised Learning for Program Repair


Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization


BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection


BreakHammer: Enhancing RowHammer Mitigations by Carefully Throttling Suspect Threads


Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-Supervision


Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification


Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack


Breaking Bad: How Compilers Break Constant-Time~Implementations


Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature


Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources


Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities


Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs


Breaking Free from Fusion Rule: A Fully Semantic-driven Infrared and Visible Image Fusion


Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization


Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!


Breaking Information Cocoons: A Hyperbolic Graph-LLM Framework for Exploration and Exploitation in Recommender Systems


Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations


Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation


Breaking NLI Systems with Sentences that Require Simple Lexical Inferences


Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning


Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting


Breaking Speech Recognizers to Imagine Lyrics


Breaking Symmetries Leads to Diverse Quadrupedal Gaits


Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt


Breaking Time Invariance: Assorted-Time Normalization for RNNs


Breaking baryon-cosmology degeneracy with the electron density power spectrum


Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates


Breaking hypothesis testing for failure rates


Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification


Breaking of brightness consistency in optical flow with a lightweight CNN network


Breaking of internal waves parametrically excited by ageostrophic anticyclonic instability


Breaking the Activation Function Bottleneck through Adaptive Parameterization


Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents


Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation


Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach with Performance Guarantees


Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining


Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling


Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space


Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads


Breaking the Context Bottleneck on Long Time Series Forecasting


Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models


Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search


Breaking the Data Barrier -- Building GUI Agents Through Task Generalization


Breaking the Dilemma of Medical Image-to-image Translation


Breaking the Expressive Bottlenecks of Graph Neural Networks


Breaking the Frame: Visual Place Recognition by Overlap Prediction


Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE


Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems


Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention


Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns


Breaking the Limitations with Sparse Inputs by Variational Frameworks (BLIss) in Terahertz Super-Resolution 3D Reconstruction


Breaking the Low-Rank Dilemma of Linear Attention


Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization


Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling


Breaking the Scalability Barrier of Causal Broadcast for Large and Dynamic Systems


Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces


Breaking the Silence: the Threats of Using LLMs in Software Engineering


Breaking the Symmetries of Indistinguishable Objects


Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning


Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models


Breaking the degeneracy in stellar spectral classification from single wide-band images


Breaking traditions: introducing a surrogate Primer Vector in non Keplerian dynamics


Breaking-Good: Explaining Breaking Dependency Updates with Build Analysis


BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables


Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs


Breakthrough-Induced Loop Formation in Evolving Transport Networks


Breast Cancer Detection Using Convolutional Neural Networks


Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network


Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning


Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review


Breast Tumor Classification Using EfficientNet Deep Learning Model


Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network


Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data


Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms


Bregman Power k-Means for Clustering Exponential Family Data


Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes


Bregman-Wasserstein divergence: geometry and applications


Bremsstrahlung Radiation Power in Fusion Plasmas Revisited: Towards Accurate Analytical Fitting


BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry


Brevity is the soul of sustainability: Characterizing LLM response lengths


BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield images


BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation


Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments


BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO


Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations


Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection


Bridge functions of classical one-component plasmas


Bridge indices of spatial graphs and diagram colorings


Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework


Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model


Bridge the Inference Gaps of Neural Processes via Expectation Maximization


Bridge the Points: Graph-based Few-shot Segment Anything Semantically


Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion Adaptation


Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling


Bridge-IF: Learning Inverse Protein Folding with Markov Bridges


Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos


BridgeData V2: A Dataset for Robot Learning at Scale


BridgeHand2Vec Bridge Hand Representation


Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science


Bridging Adversarial Robustness and Gradient Interpretability


Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization


Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models


Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution


Bridging Composite and Real: Towards End-to-end Deep Image Matting


Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts


Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations


Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification


Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding


Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection


Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys


Bridging Culture and Finance: A Multimodal Analysis of Memecoins in the Web3 Ecosystem


Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation


Bridging Dimensions: Confident Reachability for High-Dimensional Controllers


Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage


Bridging Domain Knowledge and Process Discovery Using Large Language Models


Bridging Domains with Approximately Shared Features


Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms


Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift


Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models


Bridging Gaps in the Climate Observation Network: A Physics-based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven Stochastic Models


Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views


Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation


Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training


Bridging Global Context Interactions for High-Fidelity Image Completion


Bridging HPC Communities through the Julia Programming Language


Bridging Hamming Distance Spectrum with Coset Cardinality Spectrum for Overlapped Arithmetic Codes


Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning


Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs


Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions


Bridging Information-Theoretic and Geometric Compression in Language Models


Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation


Bridging Knowledge Graphs to Generate Scene Graphs


Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights


Bridging Language Gaps in Audio-Text Retrieval


Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation


Bridging Language and Items for Retrieval and Recommendation


Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations


Bridging Local Details and Global Context in Text-Attributed Graphs


Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)


Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks


Bridging MDE and AI: A Systematic Review of Domain-Specific Languages and Model-Driven Practices in AI Software Systems Engineering


Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses


Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness


Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning


Bridging Molecular Graphs and Large Language Models


Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation


Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media


Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification


Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection


Bridging OOD Detection and Generalization: A Graph-Theoretic View


Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems


Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning


Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging


Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding


Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection


Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation


Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems


Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach


Bridging Sapling: Private Cross-Chain Transfers


Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response


Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding


Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image Classification


Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction


Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning


Bridging State and History Representations: Understanding Self-Predictive RL


Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning


Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion


Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence


Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors


Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction


Bridging Text and Vision: A Multi-View Text-Vision Registration Approach for Cross-Modal Place Recognition


Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing


Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model


Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation


Bridging Theory and Algorithm for Domain Adaptation


Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning


Bridging Unpaired Facial Photos And Sketches By Line-drawings


Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision


Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation


Bridging Vision and Language Spaces with Assignment Prediction


Bridging Weighted First Order Model Counting and Graph Polynomials


Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill


Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting


Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization


Bridging between short-range and long-range dependence with mixed spatio-temporal Ornstein-Uhlenbeck processes


Bridging deep learning force fields and electronic structures with a physics-informed approach


Bridging microscopy with molecular dynamics and quantum simulations: An AtomAI based pipeline


Bridging the $μ$Hz gap in the gravitational-wave landscape with binary resonance


Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development


Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation


Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability


Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans


Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models


Bridging the Divide: Reconsidering Softmax and Linear Attention


Bridging the Domain Gap for Multi-Agent Perception


Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models


Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation


Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning


Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length


Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation


Bridging the Gap Between Adversarial Robustness and Optimization Bias


Bridging the Gap Between Collective Motility and Epithelial-Mesenchymal Transitions through the Active Finite Voronoi Model


Bridging the Gap Between Domain-specific Frameworks and Multiple Hardware Devices


Bridging the Gap Between End-to-End and Two-Step Text Spotting


Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation


Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation


Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA


Bridging the Gap Between Saliency Prediction and Image Quality Assessment


Bridging the Gap Between Single and Multi Objective Games


Bridging the Gap Between Target Networks and Functional Regularization


Bridging the Gap Between Theory and Practice on Insertion-Intensive Database


Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows


Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets


Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA


Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes


Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model


Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection


Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models


Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing


Bridging the Gap between Different Vocabularies for LLM Ensemble


Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation


Bridging the Gap between Hardware Fuzzing and Industrial Verification


Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification


Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion


Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks


Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization


Bridging the Gap between Structural and Semantic Similarity in Diverse Planning


Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation


Bridging the Gap for Test-Time Multimodal Sentiment Analysis


Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities


Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020


Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection


Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions


Bridging the Gap: Automated Analysis of Sancus


Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments


Bridging the Gap: Examining Vision Foundation Models for Optical and Radio Astronomy Applications


Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models


Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation


Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning


Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification


Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening


Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition


Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation


Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation


Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA


Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystems


Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention


Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes


Bridging the PLC Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control Systems


Bridging the Performance Gap between FGSM and PGD Adversarial Training


Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies


Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective


Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer


Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment


Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF


Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models


Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior


Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions


Bridging the Visual Gap: Wide-Range Image Blending


Bridging the domain gap in cross-lingual document classification


Bridging the gap between Natural and Medical Images through Deep Colorization


Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization


Bridging the gap to real-world for network intrusion detection systems with data-centric approach


Bridging theory and observations in stellar pulsations: The impact of convection and metallicity on the instability strips of Classical and Type-II Cepheids


Bridging wire and gate cutting with ZX-calculus


Bright Supernova Precursors by Outbursts from Massive Stars with Compact Object Companions


BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification


BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis


Brightness Perceiving for Recursive Low-Light Image Enhancement


Brillouin Zones of Integer Lattices and Their Perturbations


Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging


Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters


Bring Your Own Data! Self-Supervised Evaluation for Large Language Models


Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA


Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection


Bring the Heat: Rapid Trajectory Optimization with Pseudospectral Techniques and the Affine Geometric Heat Flow Equation


Bringing A Robot Simulator to the SCAMP Vision System


Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs


Bringing Cognitive Augmentation to Web Browsing Accessibility


Bringing Generalization to Deep Multi-View Pedestrian Detection


Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild


Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework


Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning


Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models


Bringing Online Egocentric Action Recognition into the wild


Bringing Rolling Shutter Images Alive with Dual Reversed Distortion


Bringing Rust to Safety-Critical Systems in Space


Bringing Source-Level Debugging Frameworks to Hardware Generators


Bringing Stories Alive: Generating Interactive Fiction Worlds


Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps


Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents


Bringing Textual Prompt to AI-Generated Image Quality Assessment


Bringing closure to FDR control: beating the e-Benjamini-Hochberg procedure


Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis


Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification


Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support


Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks


Broad Ranges of Investment Configurations for Renewable Power Systems, Robust to Cost Uncertainty and Near-Optimality


Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach


Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks


Broad cross-reactivity of the T-cell repertoire achieves specific and sufficiently rapid target searching


Broad search for gravitational waves from subsolar-mass binaries through LIGO and Virgo's third observing run


Broad-UNet: Multi-scale feature learning for nowcasting tasks


BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications


BroadTrack: Broadcast Camera Tracking for Soccer


Broadband Absorption in Cadmium Telluride Thin-Film Solar Cells via Composite Light Trapping Techniques


Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation


Broadband polarization insensitivity and high detection efficiency in high-fill-factor superconducting microwire single-photon detectors


Broaden Your Views for Self-Supervised Video Learning


Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning


Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs using Semantic Space


Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences


Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets


Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses


Broken Adaptive Ridge Method for Variable Selection in Generalized Partly Linear Models with Application to the Coronary Artery Disease Data


Broken detailed balance and entropy production in directed networks


Broken into Pieces: ATLAS and Aliqa Uma as One Single Stream


BrokenStrokes: On the (in)Security of Wireless Keyboards


Brokenwire : Wireless Disruption of CCS Electric Vehicle Charging


Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation


Brownian Dynamics Simulations of Inclusions in an Active Fluid Bath


Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion


BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese


Browser-based Hyperbolic Visualization of Graphs


Browsing without Third-Party Cookies: What Do You See?


Brumer-Stark Units and Explicit Class Field Theory


Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model


BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion


Brute-forcing spin-glass problems with CUDA


Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA


Btor2MLIR: A Format and Toolchain for Hardware Verification


BuGL -- A Cross-Language Dataset for Bug Localization


BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images


Bubble Prediction of Non-Fungible Tokens (NFTs): An Empirical Investigation


BubbleDet: A Python package to compute functional determinants for bubble nucleation


BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning


BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames


BubbleProfiler: finding the field profile and action for cosmological phase transitions


BubbleTouch: A Quasi-Static Tactile Skin Simulator


Bubblewrap: Online tiling and real-time flow prediction on neural manifolds


Bublz! : Playing with Bubbles to Develop Mathematical Thinking


Bucketed Ranking-based Losses for Efficient Training of Object Detectors


Buckling and post-buckling of cylindrical shells under combined torsional and axial loads


Budge: a programming language and a theorem prover


Budget Sharing for Multi-Analyst Differential Privacy


Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction


Budget-balanced and strategy-proof auctions for multi-passenger ridesharing


Budget-constrained Collaborative Renewable Energy Forecasting Market


Budgeted Influence and Earned Benefit Maximization with Tags in Social Networks


Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals


Budgeted Reinforcement Learning in Continuous State Space


Budgeted Spatial Data Acquisition: When Coverage and Connectivity Matter


BudsID: Mobile-Ready and Expressive Finger Identification Input for Earbuds


Buffer-based Gradient Projection for Continual Federated Learning


Bug Characterization in Machine Learning-based Systems


Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling


Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks


Bug Priority Change: An Empirical Study on Apache Projects


Bug or Not? Bug Report Classification Using N-Gram IDF


Bug or not Bug? Analysing the Reasons Behind Metamorphic Relation Violations


BugDoc: Algorithms to Debug Computational Processes


BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats


Bugs in Large Language Models Generated Code: An Empirical Study


Bugs in Quantum Computing Platforms: An Empirical Study


Bugs in the Data: How ImageNet Misrepresents Biodiversity


Bugs4Q: A Benchmark of Real Bugs for Quantum Programs


BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies


Build a Robust QA System with Transformer-based Mixture of Experts


Building 3D In-Context Learning Universal Model in Neuroimaging


Building 3D Morphable Models from a Single Scan


Building A Theoretical Foundation for Combining Negative Controls and Replicates


Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge


Building Brain Invaders: EEG data of an experimental validation


Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model


Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German


Building Confidence in Deep Generative Protein Design


Building Conformal Prediction Intervals with Approximate Message Passing


Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion


Building Dynamic Knowledge Graphs from Text-based Games


Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution


Building Efficient Universal Classifiers with Natural Language Inference


Building Efficient and Effective OpenQA Systems for Low-Resource Languages


Building Embedded Systems Like It's 1996


Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network


Building Flexible, Low-Cost Wireless Access Networks With Magma


Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets


Building Formulations for Piecewise Linear Relaxations of Nonlinear Functions


Building Height Estimation Using Shadow Length in Satellite Imagery


Building Interpretable Climate Emulators for Economics


Building Knowledge-Guided Lexica to Model Cultural Variation


Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors


Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance


Building Optimal Neural Architectures using Interpretable Knowledge


Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning


Building Random, Fair, and Verifiable Games on Blockchain. Raffle smart contract designs on Sui Network


Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds


Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation


Building Resilience in Wireless Communication Systems With a Secret-Key Budget


Building Robust Ensembles via Margin Boosting


Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs


Building Russian Benchmark for Evaluation of Information Retrieval Models


Building Sequential Inference Models for End-to-End Response Selection


Building Socially-Equitable Public Models


Building Squares with Optimal State Complexity in Restricted Active Self-Assembly


Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI


Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks


Building Very Small Test Suites (with Snap)


Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation


Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS


Building Your Own Trusted Execution Environments Using FPGA


Building a 3-Player Mahjong AI using Deep Reinforcement Learning


Building a Better B-Dot: Fast Detumbling with Non-Monotonic Lyapunov Functions


Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions


Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles


Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP


Building a Performance Model for Deep Learning Recommendation Model Training on GPUs


Building a Regular Decision Boundary with Deep Networks


Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility Study


Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models


Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception


Building a Sustainable Structure for Research Software Engineering Activities


Building a Taiwanese Mandarin Spoken Language Model: A First Attempt


Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference


Building a Word Segmenter for Sanskrit Overnight


Building a comprehensive syntactic and semantic corpus of Chinese clinical texts


Building a healthier feed: Private location trace intersection driven feed recommendations


Building a stable classifier with the inflated argmax


Building an Ellipsis-aware Chinese Dependency Treebank for Web Text


Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo


Building an Explainable Graph-based Biomedical Paper Recommendation System (Technical Report)


Building and Testing Yield Curve Generators for P&C Insurance


Building another Spanish dictionary, this time with GPT-4


Building better spin models for merging binary black holes: Evidence for non-spinning and rapidly spinning nearly aligned sub-populations


Building explainable graph neural network by sparse learning for the drug-protein binding prediction


Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers


Building networks of shared research interests by embedding words into a representation space


Building secure distributed applications the DECENT way


Building separable approximations for quantum states via neural networks


Building spectral templates and reconstructing parameters for core collapse supernovae with CASTOR


Building the Collaboration Graph of Open-Source Software Ecosystem


Building the MSR Tool Kaiaulu: Design Principles and Experiences


Building the road network for city-scale active transport simulation models


Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage Mapping


Building-PCC: Building Point Cloud Completion Benchmarks


BuildingView: Constructing Urban Building Exteriors Databases with Street View Imagery and Multimodal Large Language Mode


BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting


Built to Last: Functional and structural mechanisms in the moth olfactory network mitigate effects of neural injury


Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato


BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework


Bulls vs Bears: a Trinomial Model of a Financial Asset


Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability


Bumblebee cosmology: The FLRW solution and the CMB temperature anisotropy


Bumpy Ride? Understanding the Effects of External Forces on Spatial Interactions in Moving Vehicles


Bundle MCR: Towards Conversational Bundle Recommendation


Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps


Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation


BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects


Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes


Buoyancy-Driven Entrainment in Dry Thermals


BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems


Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes


Burning sage: Reversing the curse of dimensionality in the visualization of high-dimensional data


Burrows-Wheeler transform and LCP array construction in constant space


Burst Photography for Learning to Enhance Extremely Dark Images


Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality


Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts


BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences


BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems


Bursting Bubble in a Viscoplastic Medium


Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness Metric


Burstormer: Burst Image Restoration and Enhancement Transformer


Bursts from Space: MeerKAT - The first citizen science project dedicated to commensal radio transients


Bus Stop Spacings Statistics: Theory and Evidence


Business Negotiation Definition Language


Business Process Simulation: Probabilistic Modeling of Intermittent Resource Availability and Multitasking Behavior


Business Taxonomy Construction Using Concept-Level Hierarchical Clustering


Business disruptions from social distancing


BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation


Busting the Paper Ballot: Voting Meets Adversarial Machine Learning


BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment


But How Does It Work in Theory? Linear SVM with Random Features


Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization


Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks


ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing


BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation


Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagement


BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction


By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting


By how much can closed-loop frameworks accelerate computational materials discovery?


ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models


ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE


Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla


Byam: Fixing Breaking Dependency Updates with Large Language Models


Bypassing Array Canaries via Autonomous Function Call Resolution


Bypassing antivirus detection: old-school malware, new tricks


Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem


Bypassing the Safety Training of Open-Source LLMs with Priming Attacks


Byte Latent Transformer: Patches Scale Better Than Tokens


Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora


Byte-Pair Encoding for Text-to-SQL Generation


ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions


ByteQC: GPU-Accelerated Quantum Chemistry Package for Large-Scale Systems


ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games


ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs


ByzFL: Research Framework for Robust Federated Learning


Byzantine Resilient Distributed Multi-Task Learning


Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game


Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules


Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation


Byzantine-Robust Decentralized Learning via ClippedGossip


Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment


Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting


Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing


Byzantine-Robust Loopless Stochastic Variance-Reduced Gradient


Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering


Byzantine-tolerant distributed learning of finite mixture models


Bézier interpolation improves the inference of dynamical models from data


BézierSketch: A generative model for scalable vector sketches


Bézoutians and the $\mathbb{A}^1$-degree


C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineering


C$^3$P-VoxelMap: Compact, Cumulative and Coalescible Probabilistic Voxel Mapping


C$^{3}$Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models


C++ Design Patterns for Low-latency Applications Including High-frequency Trading


C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation


C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder


C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation


C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models


C-LLM: Learn to Check Chinese Spelling Errors Character by Character


C-Learning: Horizon-Aware Cumulative Accessibility Estimation


C-MCTS: Safe Planning with Monte Carlo Tree Search


C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection


C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References


C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front


C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF


C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation


C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments


C-RNN-GAN: Continuous recurrent neural networks with adversarial training


C-SAW: A Framework for Graph Sampling and Random Walk on GPUs


C-STS: Conditional Semantic Textual Similarity


C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized Recommendation


C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion


C-VTON: Context-Driven Image-Based Virtual Try-On Network


C-XGBoost: A tree boosting model for causal effect estimation


C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach


C-mix: a high dimensional mixture model for censored durations, with applications to genetic data


C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System


C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning


C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling


C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition


C2C: Cough to COVID-19 Detection in BHI 2023 Data Challenge


C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer


C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images


C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction


C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting


C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model


C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval


C2N: Practical Generative Noise Modeling for Real-World Denoising


C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection


C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution


C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques


C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements


C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning


C3: Cross-instance guided Contrastive Clustering


C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion


C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems


C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds


C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing


C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation


C3VQG: Category Consistent Cyclic Visual Question Generation


C5T5: Controllable Generation of Organic Molecules with Transformers


CA-EHN: Commonsense Analogy from E-HowNet


CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing


CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification


CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices


CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space


CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification


CAAD 2018: Generating Transferable Adversarial Examples


CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only


CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings


CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling


CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior


CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction


CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input


CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization


CACER: Clinical Concept Annotations for Cancer Events and Relations


CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection


CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization


CACTUS: Chemistry Agent Connecting Tool-Usage to Science


CACTUSS: Common Anatomical CT-US Space for US examinations


CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format


CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification


CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation


CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling


CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline


CAD-Recode: Reverse Engineering CAD Code from Point Clouds


CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images


CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry


CAD: Memory Efficient Convolutional Adapter for Segment Anything


CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation


CADE: Cosine Annealing Differential Evolution for Spiking Neural Network


CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation


CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization


CADISHI: Fast parallel calculation of particle-pair distance histograms on CPUs and GPUs


CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving


CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning


CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution


CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description


CAESAR source finder: recent developments and testing


CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening


CAESar: Conditional Autoregressive Expected Shortfall


CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders


CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery


CAFA: a Controllable Automatic Foley Artist


CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving


CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation


CAFE: Learning to Condense Dataset by Aligning Features


CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models


CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs


CAFO: Feature-Centric Explanation on Time Series Classification


CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes


CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano


CAGE: Circumplex Affect Guided Expression Inference


CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods


CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection


CAGNet: Content-Aware Guidance for Salient Object Detection


CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds


CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning


CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter Removal


CAISE: Conversational Agent for Image Search and Editing


CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion


CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks


CALA-$n$: A Quantum Library for Realizing Cost-Effective 2-, 3-, 4-, and 5-bit Gates on IBM Quantum Computers using Bloch Sphere Approach, Clifford+T Gates, and Layouts


CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure


CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning


CALE: Continuous Arcade Learning Environment


CALEB: A Conditional Adversarial Learning Framework to Enhance Bot Detection


CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention


CALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints


CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias


CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs


CALM: Consensus-Aware Localized Merging for Multi-Task Learning


CALM: Curiosity-Driven Auditing for Large Language Models


CALSAGOS: Clustering ALgorithmS Applied to Galaxies in Overdense Systems


CALText: Contextual Attention Localization for Offline Handwritten Text


CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks


CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning


CALoR: Towards Comprehensive Model Inversion Defense


CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective


CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation


CAM: A Collection of Snapshots of GitHub Java Repositories Together with Metrics


CAMAL: Optimizing LSM-trees via Active Learning


CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation


CAMASim: A Comprehensive Simulation Framework for Content-Addressable Memory based Accelerators


CAME: Contrastive Automated Model Evaluation


CAMEL-Bench: A Comprehensive Arabic LMM Benchmark


CAMEL. II. A 3D Coronal Mass Ejection Catalog Based on Coronal Mass Ejection Automatic Detection with Deep Learning


CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio


CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation


CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking


CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency


CAMEx: Curvature-aware Merging of Experts


CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images


CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos


CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning


CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention


CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization


CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction


CAMP: A Context-Aware Cricket Players Performance Metric


CAMP: A Cost Adaptive Multi-Queue Eviction Policy for Key-Value Stores


CAMP: Compiler and Allocator-based Heap Memory Protection


CAMP: Continuous and Adaptive Learning Model in Pathology


CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval


CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy


CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation


CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression


CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval


CAMixerSR: Only Details Need More "Attention"


CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting


CAMulator: Fast Emulation of the Community Atmosphere Model


CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition


CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC


CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning


CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion


CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems


CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning


CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level


CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations


CANet: A Context-Aware Network for Shadow Removal


CANet: Context Aware Network for 3D Brain Glioma Segmentation


CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading


CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks


CAOS: Concurrent-Access Obfuscated Store


CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization


CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer


CAP: A Context-Aware Neural Predictor for NAS


CAP: Evaluation of Persuasive and Creative Image Generation


CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack


CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation


CAPE: Camera View Position Embedding for Multi-View 3D Object Detection


CAPEEN: Image Captioning with Early Exits and Knowledge Distillation


CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment


CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship


CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search


CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages


CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision


CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework


CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework


CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of Objects in Robot Networks


CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks


CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds


CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning


CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles


CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities


CAR: Controllable Autoregressive Modeling for Visual Generation


CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation


CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition


CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention


CARD: Classification and Regression Diffusion Models


CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care


CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation


CARE-rCortex: a Matlab toolbox for the analysis of CArdio-REspiratory-related activity in the Cortex


CARE: A Clue-guided Assistant for CSRs to Read User Manuals


CARE: Aligning Language Models for Regional Cultural Awareness


CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


CARE: Certifiably Robust Learning with Reasoning via Variational Inference


CARE: Co-Attention Network for Joint Entity and Relation Extraction


CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations


CARE: Collaborative AI-Assisted Reading Environment


CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization


CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes


CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health


CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives


CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models


CARETS: A Consistency And Robustness Evaluative Test Suite for VQA


CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving


CARL: A Framework for Equivariant Image Registration


CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control


CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion


CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development


CARLA-BSP: a simulated dataset with pedestrians


CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models


CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms


CARLA: Adjusted common average referencing for cortico-cortical evoked potential data


CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains


CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS


CARMENES input catalogue of M dwarfs V. Luminosities, colours, and spectral energy distributions


CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm


CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator


CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams


CARP: Compression through Adaptive Recursive Partitioning for Multi-dimensional Images


CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction


CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations


CARRSSPipeline: Flux Calibration and Non-linear Reprojection for SALT-RSS Multi-Object Spectroscopy over 3500-9500 Å


CARS: Continuous Evolution for Efficient Neural Architecture Search


CART-ELC: Oblique Decision Tree Induction via Exhaustive Search


CARTE: Pretraining and Transfer for Tabular Learning


CARTL: Cooperative Adversarially-Robust Transfer Learning


CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects


CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification


CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction


CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications


CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning


CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting


CASA: Causality-driven Argument Sufficiency Assessment


CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation


CASBI -- Chemical Abundance Simulation-Based Inference for Galactic Archeology


CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation


CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models


CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation


CASE: Contrastive Activation for Saliency Estimation


CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models


CASL-HJX: A Comprehensive Guide to Solving Deterministic and Stochastic Hamilton-Jacobi Equations


CASP: Compression of Large Multimodal Models Based on Attention Sparsity


CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services


CASPR: Automated Evaluation Metric for Contrastive Summarization


CASPR: Customer Activity Sequence-based Prediction and Representation


CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark


CASSPR: Cross Attention Single Scan Place Recognition


CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data


CAST: Character labeling in Animation using Self-supervision by Tracking


CAST: Cross-modal Alignment Similarity Test for Vision Language Models


CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees


CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma


CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition


CASTER: Predicting Drug Interactions with Chemical Substructure Representation


CASTILLO: Characterizing Response Length Distributions of Large Language Models


CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection


CASTLE: Regularization via Auxiliary Causal Graph Discovery


CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting


CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift


CASteer: Steering Diffusion Models for Controllable Generation


CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models


CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model


CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer


CAT-LM: Training Language Models on Aligned Code And Tests


CAT-NeRF: Constancy-Aware Tx$^2$Former for Dynamic Body Modeling


CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI


CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model


CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery


CAT-Walk: Inductive Hypergraph Learning via Set Walks


CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph


CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning


CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query


CAT: Compression-Aware Training for bandwidth reduction


CAT: Contrastive Adapter Training for Personalized Image Generation


CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models


CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation


CAT: Cross Attention in Vision Transformer


CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios


CAT: Interpretable Concept-based Taylor Additive Models


CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles


CATALOG: A Camera Trap Language-guided Contrastive Learning Model


CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution


CATCH: a Cost Analysis Tool for Co-optimization of chiplet-based Heterogeneous systems


CATE: Computation-aware Neural Architecture Encoding with Transformers


CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks


CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network


CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes


CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation


CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement


CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches


CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models


CATT: Character-based Arabic Tashkeel Transformer


CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models


CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration


CATs++: Boosting Cost Aggregation with Convolutions and Transformers


CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models


CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods


CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment


CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data


CAVE: Controllable Authorship Verification Explanations


CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection


CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines


CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins


CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis


CAW-coref: Conjunction-Aware Word-level Coreference Resolution


CAWA: An Attention-Network for Credit Attribution


CAWL: A Cache-aware Write Performance Model of Linux Systems


CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization


CAX: Cellular Automata Accelerated in JAX


CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging


CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management


CAtCh: Cognitive Assessment through Cookie Thief


CB$^2$O: Consensus-Based Bi-Level Optimization


CB-Conformer: Contextual biasing Conformer for biased word recognition


CB2: Collaborative Natural Language Interaction Research Platform


CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World


CBA: Improving Online Continual Learning via Continual Bias Adaptor


CBAG: An Efficient Genetic Algorithm for the Graph Burning Problem


CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models


CBD: A Certified Backdoor Detector Based on Local Dominant Probability


CBFKIT: A Control Barrier Function Toolbox for Robotics Applications


CBGL: Fast Monte Carlo Passive Global Localisation of 2D LIDAR Sensor


CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data


CBIR using features derived by Deep Learning


CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation


CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models


CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction


CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection


CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model


CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method


CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering


CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs


CBlockSim: A Modular High-Performance Blockchain Simulator


CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding


CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks


CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl


CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection


CCA-Secure Key-Aggregate Proxy Re-Encryption for Secure Cloud Storage


CCA: Collaborative Competitive Agents for Image Editing


CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope


CCAT: FYST Prime-Cam Readout Software: A framework for massively scalable KID arrays


CCBERT: Self-Supervised Code Change Representation Learning


CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations


CCDM: Continuous Conditional Diffusion Models for Image Generation


CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models


CCID5: An implementation of the BBR Congestion Control algorithm for DCCP and its impact over multi-path scenarios


CCKS 2019 Shared Task on Inter-Personal Relationship Extraction


CCL: Continual Contrastive Learning for LiDAR Place Recognition


CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model


CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning


CCMB: A Large-scale Chinese Cross-modal Benchmark


CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning


CCO-VOXEL: Chance Constrained Optimization over Uncertain Voxel-Grid Representation for Safe Trajectory Planning


CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer


CCPM: A Chinese Classical Poetry Matching Dataset


CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training


CCRL: Contrastive Cell Representation Learning


CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back


CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning


CCSL: A Causal Structure Learning Method from Multiple Unknown Environments


CCSNscore: A multi-input deep learning tool for classification of core-collapse supernovae using SED-Machine spectra


CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions


CCTV-Gun: Benchmarking Handgun Detection in CCTV Images


CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models


CCVS: Context-aware Controllable Video Synthesis


CCWSIM: An Efficient and Fast Wavelet-Based CCSIM for Categorical Characterization of Large-Scale


CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks


CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data


CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision