Beyond Labels: Aligning Large Language Models with Human-like Reasoning


Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture


Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition


Beyond Language: Applying MLX Transformers to Engineering Physics


Beyond Language: Learning Commonsense from Images for Reasoning


Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability


Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications


Beyond Life: A Digital Will Solution for Posthumous Data Management


Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions


Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning


Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework


Beyond Low-frequency Information in Graph Convolutional Networks


Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering


Beyond MOT: Semantic Multi-Object Tracking


Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?


Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs


Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers


Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation


Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision


Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing


Beyond Memorization: The Challenge of Random Memory Access in Language Models


Beyond Memorization: Violating Privacy Via Inference with Large Language Models


Beyond Message Passing: Neural Graph Pattern Machine


Beyond Model Adaptation at Test Time: A Survey


Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations


Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation


Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends


Beyond NDCG: behavioral testing of recommender systems with RecList


Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases


Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility


Beyond Nash Equilibrium: Achieving Bayesian Perfect Equilibrium with Belief Update Fictitious Play


Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication


Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery


Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection


Beyond Next Token Prediction: Patch-Level Training for Large Language Models


Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation


Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation


Beyond Observed Connections : Link Injection


Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics


Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations


Beyond One-Hot Labels: Semantic Mixing for Model Calibration


Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers


Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation


Beyond One-to-One: Rethinking the Referring Image Segmentation


Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot


Beyond Opinion Mining: Summarizing Opinions of Customer Reviews


Beyond Optimism: Exploration With Partially Observable Rewards


Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games


Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models


Beyond Pattern Recognition: Probing Mental Representations of LMs


Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task


Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement


Beyond Performance: Measuring the Environmental Impact of Analytical Databases


Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs


Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression


Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition


Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction


Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations


Beyond Pham's algorithm for joint diagonalization


Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification


Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models


Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image


Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models


Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking


Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression


Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense


Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval


Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking


Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization


Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms


Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations


Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems


Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning


Beyond QUBO and HOBO formulations, solving the Travelling Salesman Problem on a quantum boson sampler


Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB


Beyond Quantum Shannon: Circuit Construction for General n-Qubit Gates Based on Block ZXZ-Decomposition


Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering


Beyond Questions: Leveraging ColBERT for Keyphrase Search


Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds


Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models


Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model


Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation


Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs


Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness


Beyond Reward: Offline Preference-guided Policy Optimization


Beyond Road Extraction: A Dataset for Map Update using Aerial Images


Beyond Role-Based Surgical Domain Modeling: Generalizable Re-Identification in the Operating Room


Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models


Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis


Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers


Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph


Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback


Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation


Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation


Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement


Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning


Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation


Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection


Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?


Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation


Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution


Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset


Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models


Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction


Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models


Beyond Slow Signs in High-fidelity Model Extraction


Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating


Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models


Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection


Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs


Beyond Speaker Identity: Text Guided Target Speech Extraction


Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation


Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities


Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification


Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning


Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model


Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability


Beyond Surprise: Improving Exploration Through Surprise Novelty


Beyond Surrogate Modeling: Learning the Local Volatility Via Shape Constraints


Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits


Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning


Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multi-Component Systems


Beyond Text: Frozen Large Language Models in Visual Signal Comprehension


Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications


Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark


Beyond Tides and Time: Machine Learning Triumph in Water Quality


Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms


Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis


Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning


Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking


Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles


Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation


Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims


Beyond UVJ: Color Selection of Galaxies in the JWST Era


Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding


Beyond Uniform Query Distribution: Key-Driven Grouped Query Attention


Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets


Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning


Beyond Utility: Evaluating LLM as Recommender


Beyond VaR and CVaR: Topological Risk Measures in Financial Markets


Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs


Beyond Views: Measuring and Predicting Engagement in Online Videos


Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search


Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation


Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training


Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness


Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning


Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies


Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics


Beyond [cls]: Exploring the true potential of Masked Image Modeling representations


Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning


Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation


Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition


Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules


Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency


Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications


Beyond calibration: estimating the grouping loss of modern neural networks


Beyond checkmate: exploring the creative chokepoints in AI text


Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric


Beyond classical Hamilton's Rule. State distribution asymmetry and the dynamics of altruism


Beyond correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge


Beyond cost reduction: Improving the value of energy storage in electricity systems


Beyond costs: Mapping Norwegian youth preferences for a more inclusive energy transition


Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration


Beyond directed hypergraphs: heterogeneous hypergraphs and spectral centralities


Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness


Beyond first-order methods for non-convex non-concave min-max optimization


Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions


Beyond forecast leaderboards: Measuring individual model importance based on contribution to ensemble accuracy


Beyond modeling: NLP Pipeline for efficient environmental policy analysis


Beyond neural scaling laws: beating power law scaling via data pruning


Beyond original Research Articles Categorization via NLP


Beyond pairwise network similarity: exploring Mediation and Suppression between networks


Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects


Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!


Beyond relativistic Lagrangian perturbation theory. I. An exact-solution controlled model for structure formation


Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification


Beyond socket options: making the Linux TCP stack truly extensible


Beyond the ABCDs: A better matrix method for geometric optics by using homogeneous coordinates


Beyond the Benchmark: Detecting Diverse Anomalies in Videos


Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior


Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models


Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions


Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects


Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code


Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers


Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer


Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking


Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers


Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection


Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer


Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration


Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties


Beyond the Monitor: Mixed Reality Visualization and AI for Enhanced Digital Pathology Workflow


Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction


Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion


Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem


Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting


Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions


Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding


Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis


Beyond the Surface: Advanced Wash Trading Detection in Decentralized NFT Markets


Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels


Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft


Beyond the binary: Limitations and possibilities of gender-related speech technology research


Beyond the bulge-halo conspiracy? Density profiles of Early-type galaxies from extended-source strong lensing


Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints


Beyond the exoplanet mass-radius relation


Beyond topological persistence: Starting from networks


BeyondPlanck XVI. Limits on Large-Scale Polarized Anomalous Microwave Emission from Planck LFI and WMAP


Bhakti: A Lightweight Vector Database Management System for Endowing Large Language Models with Semantic Search Capabilities and Memory


BharatBench: Dataset for data-driven weather forecasting over India


BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages


Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages


Bhjet: a public multi-zone, steady state jet + thermal corona spectral model


Bi-Calibration Networks for Weakly-Supervised Video Representation Learning


Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation


Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling


Bi-Directional Cascade Network for Perceptual Edge Detection


Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction


Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck


Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection


Bi-Level Attention Graph Neural Networks


Bi-Level Multi-View fuzzy Clustering with Exponential Distance


Bi-Level optimization for parameter estimation of differential equations using interpolation


Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving


Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation


Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation


Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation


Bi-SamplerZ: A Hardware-Efficient Gaussian Sampler Architecture for Quantum-Resistant Falcon Signatures


Bi-Semantic Reconstructing Generative Network for Zero-shot Learning


Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation


Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images


Bi-directional Adapter for Multi-modal Tracking


Bi-directional Attention with Agreement for Dependency Parsing


Bi-directional Distribution Alignment for Transductive Zero-Shot Learning


Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification


Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification


Bi-directional Masks for Efficient N:M Sparse Training


Bi-directional Object-context Prioritization Learning for Saliency Ranking


Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification


Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment


Bi-fidelity Variational Auto-encoder for Uncertainty Quantification


Bi-intuitionistic logics through the abstract algebraic logic lens


Bi-level Alignment for Cross-Domain Crowd Counting


Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features


Bi-objective trail-planning for a robot team orienteering in a hazardous environment


Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise


Bi3D: Stereo Depth Estimation via Binary Classifications


BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic


BiBLDR: Bidirectional Behavior Learning for Drug Repositioning


BiBench: Benchmarking and Analyzing Network Binarization


BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization


BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation


BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification


BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation


BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency


BiDM: Pushing the Limit of Quantization for Diffusion Models


BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking


BiDense: Binarization for Dense Prediction


BiDet: An Efficient Binarized Object Detector


BiDexHand: Design and Evaluation of an Open-Source 16-DoF Biomimetic Dexterous Hand


BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization


BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis


BiFSMN: Binary Neural Network for Keyword Spotting


BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance


BiFeat: Supercharge GNN Training via Graph Feature Quantization


BiFold: A Python code for the calculation of double folded (bifold) potentials with density-in/dependent nucleon-nucleon interactions


BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation


BiFormer: Vision Transformer with Bi-Level Routing Attention


BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation


BiGONLight: light propagation with bi-local operators in Numerical Relativity


BiHRNN -- Bi-Directional Hierarchical Recurrent Neural Network for Inflation Forecasting


BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks


BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation


BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation


BiLLM: Pushing the Limit of Post-Training Quantization for LLMs


BiLO: Bilevel Local Operator Learning for PDE inverse problems


BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation


BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities


BiMediX: Bilingual Medical Mixture of Experts LLM


BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture


BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images


BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction


BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption


BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials


BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection


BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation


BiPer: Binary Neural Networks using a Periodic Function


BiPointNet: Binary Neural Network for Point Clouds


BiQUE: Biquaternionic Embeddings of Knowledge Graphs


BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning


BiRating -- Iterative averaging on a bipartite graph of Beat Saber scores, player skills, and map difficulties


BiSECT: Learning to Split and Rephrase Sentences with Bitexts


BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization


BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model


BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues


BiSinger: Bilingual Singing Voice Synthesis


BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis


BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models


BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image


BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling


BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation


BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data


BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval


Bialternant formula for Schur polynomials with repeating variables


BianCang: A Traditional Chinese Medicine Large Language Model


BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT


Bianchi period polynomials: Hecke action and congruences


Biarchetype analysis: simultaneous learning of observations and features based on extremes


Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks


Bias Amplification Enhances Minority Group Performance


Bias Amplification in Language Model Evolution: An Iterated Learning Perspective


Bias Correction of Operational Storm Surge Forecasts Using Neural Networks


Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments


Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison


Bias Mimicking: A Simple Sampling Approach for Bias Mitigation


Bias Mitigation in Matched Observational Studies with Continuous Treatments: Calipered Non-Bipartite Matching and Bias-Corrected Estimation and Inference


Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models


Bias Reduction in Social Networks through Agent-Based Simulations


Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation


Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs


Bias and Consistency in Three-way Gravity Models


Bias and Debias in Recommender System: A Survey and Future Directions


Bias and Excess Variance in Election Polling: A Not-So-Hidden Markov Model


Bias and Fairness in Large Language Models: A Survey


Bias and Generalization in Deep Generative Models: An Empirical Study


Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era


Bias and variance in the social structure of gender


Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling


Bias correction in multiple-systems estimation


Bias correction of quadratic spectral estimators


Bias in Automated Image Colorization: Metrics and Error Types


Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude


Bias in Evaluation Processes: An Optimization-Based Model


Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia


Bias in News Summarization: Measures, Pitfalls and Corpora


Bias of the additive hazard model in the presence of causal effect heterogeneity


Bias patterns in the application of LLMs for clinical decision support: A comprehensive study


Bias to CMB lensing from lensed foregrounds


Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought


Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval


Bias-Awareness for Zero-Shot Learning the Seen and Unseen


Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video


Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR


Bias-Eliminated Semantic Refinement for Any-Shot Learning


Bias-Free Scalable Gaussian Processes via Randomized Truncations


Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions


BiasAsker: Measuring the Bias in Conversational AI System


BiasDora: Exploring Hidden Biased Associations in Vision-Language Models


BiasEdit: Debiasing Stereotyped Language Models via Model Editing


BiasGuard: Guardrailing Fairness in Machine Learning Production Systems


BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language Models


BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models


BiasPruner: Debiased Continual Learning for Medical Image Classification


Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?


Biased Binary Attribute Classifiers Ignore the Majority Classes


Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces


Biased Heritage: How Datasets Shape Models in Facial Expression Recognition


Biased Hypothesis Formation From Projection Pursuit


Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints


Biased dynamics of the miscible-immiscible quantum phase transition in a binary Bose-Einstein condensate


Biased ensembles of pulsating active matter


Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws


Biases among Congruence Classes for Parts in k-regular Partitions


Biases in Inverse Ising Estimates of Near-Critical Behaviour


Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines


BibRank: Automatic Keyphrase Extraction Platform Using~Metadata


BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus


BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction


Bibliometric Analysis of NIME References and Citations


Bibliometric Analysis of Senior US Mathematics Faculty


Biclustering random matrix partitions with an application to classification of forensic body fluids


BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection


Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network


Bidiagonal factorization of the recurrence matrix for the Hahn multiple orthogonal polynomials


Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces


Bidirectional Attention as a Mixture of Continuous Word Experts


Bidirectional Attention for SQL Generation


Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases


Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding


Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation


Bidirectional Distillation for Top-K Recommender System


Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking


Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions


Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model


Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis


Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning


Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference


Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection


Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification


Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics


Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers


Bidirectional Model-based Policy Optimization


Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining


Bidirectional One-Shot Unsupervised Domain Mapping


Bidirectional Projection Network for Cross Dimension Scene Understanding


Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding


Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records


Bidirectional Scene Text Recognition with a Single Decoder


Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation


Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions


Bidirectional Transformer Reranker for Grammatical Error Correction


Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-deprived Zones


Bidirectional Uncertainty-Based Active Learning for Open Set Annotation


Bidirectional conformal mapping for over-break and under-break tunnelling and its application in complex variable method


Bidirectional deep learning of polarization transfer in liquid crystals with application to quantum state preparation


Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data


Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies


Bidirectionalization For The Common People


Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer


Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy


Bifurcation analysis of waning-boosting epidemiological models with repeat infections and varying immunity periods


Bifurcation preserving discretisations of optimal control problems


Bifurcation tracking on moving meshes and with consideration of azimuthal symmetry breaking instabilities


Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models


Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code


Big Data Architecture for Large Organizations


Big Data Fusion to Estimate Fuel Consumption: A Case Study of Riyadh


Big Fish, Little Fish, Critical Infrastructure: An Analysis of Phineas Fisher and the 'Hacktivist' Threat to Critical Infrastructure


Big Ideas in Sports Analytics and Statistical Tools for their Investigation


Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences


Big-Data Clustering: K-Means or K-Indicators?


Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors


Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition


BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes


BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates


BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec


BigColor: Colorization using a Generative Color Prior for Natural Images


BigFCM: Fast, Precise and Scalable FCM on Hadoop


BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models


BigO(Bench) -- Can LLMs Generate Code with Controlled Time and Space Complexity?


BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements


BigVAR: Tools for Modeling Sparse High-Dimensional Multivariate Time Series


BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation


Bigger Buffer k-d Trees on Multi-Many-Core Systems


Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder


Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction


Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training


Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control


Bike network planning in limited urban space


Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races


BikeDNA: A Tool for Bicycle Infrastructure Data & Network Assessment


BikeNodePlanner: a data-driven decision support tool for bicycle node network planning


Bil-DOS: A Bi-lingual Dialogue Ordering System (for Subway)


BilBOWA: Fast Bilingual Distributed Representations without Word Alignments


Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection


Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering


Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction


Bilateral Event Mining and Complementary for Event Stream Super-Resolution


Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views


Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation


Bilateral Propagation Network for Depth Completion


Bilateral Self-unbiased Learning from Biased Implicit Feedback


Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering


Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature


Bilevel Fast Scene Adaptation for Low-Light Image Enhancement


Bilevel Generative Learning for Low-Light Vision


Bilevel Learning with Inexact Stochastic Gradients


Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction


Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks


Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis


Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start


Bilevel optimization in flow networks: A message-passing approach


Bilevel optimization with a multi-objective lower-level problem: Risk-neutral and risk-averse formulations


Bilevel parameter optimization for learning nonlocal image denoising models


BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia


Bilinear Graph Neural Network with Neighbor Interactions


Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens


Bilingual BSARD: Extending Statutory Article Retrieval to Dutch


Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences


Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from Speech


Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders


Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces


Bilingual Rhetorical Structure Parsing with Large Parallel Annotations


Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages


Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining


Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors


BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis


Billion-scale Network Embedding with Iterative Random Projection


Bimodal Distributed Binarized Neural Networks


Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping


Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel Sorting


Bin Packing under Random-Order: Breaking the Barrier of 3/2


BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search


BinGAN: Learning Compact Binary Descriptors with a Regularized GAN


BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering


BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning


BinPo: An open-source code to compute the band structure of two-dimensional electron systems


BinPool: A Dataset of Vulnerabilities for Binary Security Analysis


Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics


Binamix -- A Python Library for Generating Binaural Audio Datasets


Binarized Diffusion Model for Image Super-Resolution


Binarized Low-light Raw Video Enhancement


Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing


Binarizing Documents by Leveraging both Space and Frequency


Binary AGN simulations with radiation pressure reveal a new duty cycle, and a reduction of gravitational torque, through 'minitori' structures


Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model


Binary Classification as a Phase Separation Process


Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification


Binary Classification from Positive-Confidence Data


Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning


Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models


Binary Embedding-based Retrieval at Tencent


Binary Feature Mask Optimization for Feature Selection


Binary Generative Adversarial Networks for Image Retrieval


Binary Independent Component Analysis: A Non-stationarity-based Approach


Binary Matrix Factorisation and Completion via Integer Programming


Binary Multi Channel Morphological Neural Network


Binary Neural Network Aided CSI Feedback in Massive MIMO System


Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments


Binary Neutron Star Merger Search Pipeline Powered by Deep Learning


Binary Quantification and Dataset Shift: An Experimental Investigation


Binary Representation via Jointly Personalized Sparse Hashing


Binary Search and First Order Gradient Based Method for Stochastic Optimization


Binary Search with Distributional Predictions


Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations


Binary TTC: A Temporal Geofence for Autonomous Navigation


Binary black hole spectroscopy: a no-hair test of GW190814 and GW190412


Binary domain generalization for sparsifying binary neural networks


Binary segmentation of medical images using implicit spline representations and deep learning


Binary sequences meet the Fibonacci sequence


Binary systems in massive scalar-tensor theories: Next-to-leading order gravitational wave phase from effective field theory


Binary-Integer-Programming Based Algorithm for Expert Load Balancing in Mixture-of-Experts Models


BinaryAlign: Word Alignment as Binary Sequence Labeling


BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models


BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations


BinaryHPE: 3D Human Pose and Shape Estimation via Binarization


BinarySelect to Improve Accessibility of Black-Box Attack Research


BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models


BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models


Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks


Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations


Binding threshold units with artificial oscillatory neurons


Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning


Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains


Binocular Mutual Learning for Improving Few-shot Classification


Binomial Line Cox Processes: Statistical Characterization and Applications in Wireless Network Analysis


Binomial Self-compensation for Motion Error in Dynamic 3D Scanning


BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation


Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education


Bio-Heat Transfer and Monte Carlo Measurement of Near-Infrared Transcranial Stimulation of Human Brain


Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers


Bio-Inspired Modality Fusion for Active Speaker Detection


Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases


Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation


Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data


Bio-YODIE: A Named Entity Linking System for Biomedical Text


Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones


Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks


Bio-inspired computational memory model of the Hippocampus: an approach to a neuromorphic spike-based Content-Addressable Memory


Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping


BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task


BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER


BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model


BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs


BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs


BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR


BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning


BioCLIP: A Vision Foundation Model for the Tree of Life


BioChemInsight: An Open-Source Toolkit for Automated Identification and Recognition of Optical Chemical Structures and Activity Data in Scientific Publications


BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP


BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models


BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale


BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA


BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis


BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments


BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks


BioFors: A Large Biomedical Image Forensics Dataset


BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion


BioGAN: An unpaired GAN-based image to image translation model for microbiological images


BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging


BioImageLoader: Easy Handling of Bioimage Datasets for Machine Learning


BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science


BioKlustering: a web app for semi-supervised learning of maximally imbalanced genomic data


BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks


BioMETA: A multiple specification parameter estimation system for stochastic biochemical models


BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba


BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning


BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text


BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains


BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions


BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis


BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger


BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology


BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and Reasoning


BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A


BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets


BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model


BioSimulator.jl: Stochastic simulation in Julia


BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs


BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks


BioTouchPass: Handwritten Passwords for Touchscreen Biometrics


BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis


BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology


Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow


Bioequivalence Design with Sampling Distribution Segments


Biofilm.jl: a fast solver for one-dimensional biofilm chemistry and ecology


Bioformer: an efficient transformer language model for biomedical text mining


Biogeographical network analysis of plant species distribution in the Mediterranean region


Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science


Biological Factor Regulatory Neural Network


Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets


Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning


Biological Random Walks: multi-omics integration for disease gene prioritization


Biological Sequence Design with GFlowNets


Biological Sequence Kernels with Guaranteed Flexibility


Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0


Biologically Inspired Neural Path Finding


Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks


Biologically Motivated Algorithms for Propagating Local Target Representations


Biologically Plausible Brain Graph Transformer


Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks


Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks


Biologically plausible deep learning -- but how far can we go with shallow networks?


Biologically plausible single-layer networks for nonnegative independent component analysis


Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning


Biologically-Motivated Learning Model for Instructed Visual Processing


Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources


Biologically-inspired Salience Affected Artificial Neural Network (SANN)


Biologically-inspired neuronal adaptation improves learning in neural networks


Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators


Bioluminescence modeling for deep sea experiments


Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways


Biomarker-Guided Adaptive Enrichment Design with Threshold Detection for Clinical Trials with Time-to-Event Outcome


Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion


Biomass Estimation and Uncertainty Quantification from Tree Height


Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models


BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables


BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs


BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases


Biomedical Concept Relatedness -- A large EHR-based benchmark


Biomedical Entity Linking as Multiple Choice Question Answering


Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus


Biomedical Entity Linking with Contrastive Context Matching


Biomedical Entity Representations with Synonym Marginalization


Biomedical Event Extraction with Hierarchical Knowledge Graphs


Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models


Biomedical Interpretable Entity Representations


Biomedical Knowledge Graph Embeddings with Negative Statements


Biomedical Language Models are Robust to Sub-optimal Tokenization


Biomedical Named Entity Recognition at Scale


Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization


Biomedical SAM 2: Segment Anything in Biomedical Images and Videos


Biomedical Visual Instruction Tuning with Clinician Preference Alignment


Biomedical knowledge graph-optimized prompt generation for large language models


Biomedical named entity recognition using BERT in the machine reading comprehension framework


Biometric Authentication Based on Enhanced Remote Photoplethysmography Signal Morphology


Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating


BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space


Biomimetic Frontend for Differentiable Audio Processing


Biomimetic IGA neuron growth modeling with neurite morphometric features and CNN-based prediction


Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality


Biophysically detailed mathematical models of multiscale cardiac active mechanics


Biophysically grounded mean-field models of neural populations under electrical stimulation


Bioplastic Design using Multitask Deep Neural Networks


BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks


Bioverse: A Comprehensive Assessment of the Capabilities of Extremely Large Telescopes to Probe Earth-like O$_\mathrm{2}$ Levels in Nearby Transiting Habitable Zone Exoplanets


Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life


Bipartite Conditional Random Fields for Panoptic Segmentation


Bipartite Flat-Graph Network for Nested Named Entity Recognition


Bipartite Graph Diffusion Model for Human Interaction Generation


Bipartite Graph Embedding via Mutual Information Maximization


Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS


Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model


Bipedal Locomotion Optimization by Exploitation of the Full Dynamics in DCM Trajectory Planning


Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets


Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts


Birbal: An efficient 7B instruct-model fine-tuned with curated datasets


Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach


Bird's-Eye-View Scene Graph for Vision-Language Navigation


Bird-Snack: Bayesian Inference of dust law $R_V$ Distributions using SN Ia Apparent Colours at peaK


BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping


BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics


BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds


Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula


Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation


Birds of a Feather: Capturing Avian Shape Models from Images


Bisimulation metric for Model Predictive Control


Bistability of the atmospheric circulation on TRAPPIST-1e


Bistable perception, precision and neuromodulation


Bistatic MIMO Radar Sensing of Specularly Reflecting Surfaces for Wireless Power Transfer


Bit Error Robustness for Energy-Efficient DNN Accelerators


Bit Error and Block Error Rate Training for ML-Assisted Communication


Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics


Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search


Bit-Vector Model Counting using Statistical Estimation


Bit-depth enhancement detection for compressed video


Bit-level Parallelization of 3DES Encryption on GPU


Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing


BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks


BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage


BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache


BitDelta: Your Fine-Tune May Only Be Worth One Bit


BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation


BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration


BitPipe: Bidirectional Interleaved Pipeline Parallelism for Accelerating Large Models Training


BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices


BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments


BitTensor: A Peer-to-Peer Intelligence Market


BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge


BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation


Bitcoin Gold, Litecoin Silver:An Introduction to Cryptocurrency's Valuation and Trading Strategy


Bitcoin Research with a Transaction Graph Dataset


Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities


BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes


Bitext Mining for Low-Resource Languages via Contrastive Learning


Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts


Bitstream Collisions in Neural Image Compression via Adversarial Perturbations


Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration


Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method


BittyBuzz: A Swarm Robotics Runtime for Tiny Systems


Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach


Bivariate Estimation-of-Distribution Algorithms Can Find an Exponential Number of Optima


Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions


BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs


BjTT: A Large-scale Multimodal Dataset for Traffic Prediction


Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network


Bl0ck: Paralyzing 802.11 connections through Block Ack frames


Black Big Boxes: Do Language Models Hide a Theory of Adjective Order?


Black Box Adversarial Prompting for Foundation Models


Black Box Few-Shot Adaptation for Vision-Language models


Black Box Optimization Using QUBO and the Cross Entropy Method


Black Box Variational Bayesian Model Averaging


Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box


Black Hole Evaporation Beyond the Standard Model of Particle Physics


Black Hole Horizons as Patternless Binary Messages and Markers of Dimensionality


Black Hole Mergers in Holographic Space-time Models of Inflation


Black Holes' Dark Dress: On the merger rate of a subdominant population of primordial black holes


Black Magic in Deep Learning: How Human Skill Impacts Network Training


Black box meta-learning intrinsic rewards for sparse-reward environments


Black hole mass and Eddington ratio distributions of less-luminous quasars at $z\sim4$ in the Subaru Hyper Suprime-Cam Wide field


Black hole sensitivities in Einstein-scalar-Gauss-Bonnet gravity


Black holes as telescopes: Discovering supermassive binaries through quasi-periodic lensed starlight


Black holes with scalar hair: Extending from and beyond the Schwarzschild solution


Black-Box Adversarial Attack with Transferable Model-based Embedding


Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation


Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction


Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study


Black-Box Optimization with Implicit Constraints for Public Policy


Black-Box Policy Search with Probabilistic Programs


Black-Box Prompt Optimization: Aligning Large Language Models without Model Training


Black-Box Ripper: Copying black-box models using generative evolutionary algorithms


Black-Box Testing of Deep Neural Networks Through Test Case Diversity


Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation


Black-box Adaptation of ASR for Accented Speech


Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models


Black-box Adversarial Attacks with Limited Queries and Information


Black-box Backdoor Defense via Zero-shot Image Purification


Black-box Combinatorial Optimization using Models with Integer-valued Minima


Black-box Few-shot Knowledge Distillation


Black-box Membership Inference Attacks against Fine-tuned Diffusion Models


Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints


Black-box Model Ensembling for Textual and Visual Question Answering via Information Fusion


Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering


Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory


Black-box Variational Inference for Stochastic Differential Equations


Black-box density function estimation using recursive partitioning


Black-box inhomogeneous preconditioning for self-consistent field iterations in density functional theory


Black-box language model explanation by context length probing


Black-box optimization on hyper-rectangle using Recursive Modified Pattern Search and application to ROC-based Classification Problem


BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data


BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling


BlackJAX: Composable Bayesian inference in JAX


BlackLivesMatter 2020: An Analysis of Deleted and Suspended Users in Twitter


BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies


BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning


Blackbody radiation and thermal effects on chemical reactions and phase transitions in cavities


Blackbox Adaptation for Medical Image Segmentation


Blackbox Attacks via Surrogate Ensemble Search


Blackbox optimization for origami-inspired bistable structures


Blacklight: A General-Relativistic Ray-Tracing and Analysis Tool


Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks


Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces


Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models


Blank Collapse: Compressing CTC emission for the faster decoding


Blank Space: Adaptive Causal Coding for Streaming Communications Over Multi-Hop Networks


Blast from the past II: Constraints on heavy neutral leptons from the BEBC WA66 beam dump experiment


Blast waves and reverse shocks: from ultra-relativistic GRBs to moderately relativistic X-ray binaries


Blastocoel morphogenesis: a biophysics perspective


Blazars in the LOFAR Two-Metre Sky Survey First Data Release


BlazeNeo: Blazing fast polyp segmentation and neoplasm detection


Bleaching Text: Abstract Features for Cross-lingual Gender Prediction


BlenDA: Domain Adaptive Object Detection through diffusion-based blending


Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction


BlendX: Complex Multi-Intent Detection with Blended Patterns


Blended Conditional Gradients: the unconditioning of conditional gradients


Blended Diffusion for Text-driven Editing of Natural Images


Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers


Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields


BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing


Blendify -- Python rendering framework for Blender


Blending 3D Geometry and Machine Learning for Multi-View Stereopsis


Blending Bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation


Blending Controllers via Multi-Objective Bandits


Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach


Blending Diverse Physical Priors with Neural Networks


Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series


Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks


BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks


Blessing of dimension in Bayesian inference on covariance matrices


BliMe: Verifiably Secure Outsourced Computation with Hardware-Enforced Taint Tracking


Blind Baselines Beat Membership Inference Attacks for Foundation Models


Blind ECG Restoration by Operational Cycle-GANs


Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders


Blind Equalization using a Variational Autoencoder with Second Order Volterra Channel Model


Blind Face Restoration via Deep Multi-scale Component Dictionaries


Blind Face Restoration: Benchmark Datasets and a Baseline Model


Blind Identification of Binaural Room Impulse Responses from Smart Glasses


Blind Image Deblurring with FFT-ReLU Sparsity Prior


Blind Image Deblurring with Unknown Kernel Size and Substantial Noise


Blind Image Deconvolution Using Variational Deep Image Prior


Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding


Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders


Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network


Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token


Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective


Blind Image Restoration via Fast Diffusion Inversion


Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel


Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning


Blind Inverse Gamma Correction with Maximized Differential Entropy


Blind Justice: Fairness with Encrypted Sensitive Attributes


Blind Knowledge Distillation for Robust Image Classification


Blind Localization and Clustering of Anomalies in Textures


Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency


Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training


Blind Restoration of Real-World Audio by 1D Operational GANs


Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings


Blind Sensor Calibration using Approximate Message Passing


Blind Source Separation Using Mixtures of Alpha-Stable Distributions


Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders


Blind Speech Separation and Dereverberation using Neural Beamforming


Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation


Blind Super-resolution of Point Sources via Projected Gradient Descent


Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video


Blind Video Deflickering by Neural Filtering with a Flawed Atlas


Blind Video Temporal Consistency via Deep Video Prior


Blind Visual Motif Removal from a Single Image


Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network


Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification


Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication


Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots


BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution


BlindHarmony: "Blind" Harmonization for MR Images via Flow model


Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?


Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning


Blindness to Modality Helps Entailment Graph Mining


Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation


Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing


Blizzard: Adding True Persistence to Main Memory Data Structures


Blizzard: a Distributed Consensus Protocol for Mobile Devices


Blob indentation identification via curvature measurement


Bloch Sphere Binary Trees: A method for the visualization of sets of multi-qubit systems pure states


Block Alternating Bregman Majorization Minimization with Extrapolation


Block Chain based Intelligent Industrial Network (DSDIN)


Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA


Block Coordinate Regularization by Denoising


Block Diagonalization of Quaternion Circulant Matrices with Applications


Block Discrete Empirical Interpolation Methods


Block Flow: Learning Straight Flow on Data Blocks


Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting


Block Majorization Minimization with Extrapolation and Application to $β$-NMF


Block Modeling-Guided Graph Convolutional Neural Networks


Block Selection Method for Using Feature Norm in Out-of-distribution Detection


Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory


Block Sparse Bayesian Learning: A Diversified Scheme


Block Transformer: Global-to-Local Language Modeling for Fast Inference


Block majorization-minimization with diminishing radius for constrained nonsmooth nonconvex optimization


Block shuffling learning for Deepfake Detection


Block-Approximated Exponential Random Graphs


Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding


Block-Invariant Symmetry Shift: Preprocessing technique for second-quantized Hamiltonians to improve their decompositions to Linear Combination of Unitaries


Block-Krylov techniques in the context of sparse-FGLM algorithms


Block-Skim: Efficient Question Answering for Transformer


Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers


Block-Structure Based Time-Series Models For Graph Sequences


Block-Value Symmetries in Probabilistic Graphical Models


Block-missing data in linear systems: An unbiased stochastic gradient descent approach


Block-proximal methods with spatially adapted acceleration


Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications


Block2: a comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond


BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies


BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference


BlockDrop: Dynamic Inference Paths in Residual Networks


BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols


BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation


BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images


BlockGaussian: Efficient Large-Scale Scene Novel View Synthesis via Adaptive Block-Based Gaussian Splatting


BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows


BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks


BlockPruner: Fine-grained Pruning for Large Language Models


BlockQuicksort: How Branch Mispredictions don't affect Quicksort


BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects


BlockSim: An Extensible Simulation Tool for Blockchain Systems


Blockchain Framework for Artificial Intelligence Computation


Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge


Blockchain Governance: An Empirical Analysis of User Engagement on DAOs


Blockchain Network Analysis: A Comparative Study of Decentralized Banks


Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods


Blockchain based Resource Governance for Decentralized Web Environments


Blockchain for Business Process Enactment: A Taxonomy and Systematic Literature Review


Blockchain for social good: a quantitative analysis


Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users


Blockchain mechanism and distributional characteristics of cryptos


Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends


Blockchain-Based Distributed Patient-Centric Image Management System


Blockchain-Based, Confidentiality-Preserving Orchestration of Collaborative Workflows


Blockchain-Enabled Variational Information Bottleneck for IoT Networks


Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging


Blockchain-based Edge Resource Sharing for Metaverse


Blockchain-based Result Verification for Computation Offloading


Blockchain-based Transparency Framework for Privacy Preserving Third-party Services


Blockchain-enabled Network Sharing for O-RAN in 5G and Beyond


Blockclique: scaling blockchains through transaction sharding in a multithreaded block graph


Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations


Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators


Blockwise Parallel Transformer for Large Context Models


Blockwise Self-Attention for Long Document Understanding


Blockwise Self-Supervised Learning at Scale


Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning


Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization


Blockwise inversion and algorithms for inverting large partitioned matrices


Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning


BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning


BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization


BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation


Bloscpack: a compressed lightweight serialization format for numerical data


Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge


Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion


Blox: A Modular Toolkit for Deep Learning Schedulers


Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware


BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social


Blueprint Separable Residual Network for Efficient Image Super-Resolution


Bluetooth Mesh under the Microscope: How much ICN is Inside?


Blur Interpolation Transformer for Real-World Motion from Blur


Blur aware metric depth estimation with multi-focus plenoptic cameras


Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring


Blurring cluster randomized trials and observational studies using Two-Stage TMLE to address sub-sampling, missingness, and minimal independent units


Blurring the Busse balloon: Patterns in a stochastic Klausmeier model


Blurring-Sharpening Process Models for Collaborative Filtering


BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications


BnMMLU: Measuring Massive Multitask Language Understanding in Bengali


BoFire: Bayesian Optimization Framework Intended for Real Experiments


BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation


BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation


BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation


BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification


BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels


BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation


BoQ: A Place is Worth a Bag of Learnable Queries


BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models


BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives


BoXHED2.0: Scalable boosting of dynamic survival analysis


BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates


Board-to-Board: Evaluating Moonboard Grade Prediction Generalization


Boba: Authoring and Visualizing Multiverse Analyses


Bodies Uncovered: Learning to Manipulate Real Blankets Around People via Physics Simulations


Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data


Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective


Body Design and Gait Generation of Chair-Type Asymmetrical Tripedal Low-rigidity Robot


Body Sensor Network: A Self-Adaptive System Exemplar in the Healthcare Domain


Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images


Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics


BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed


BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image


Bohemian Upper Hessenberg Toeplitz Matrices


Boilerplate Removal using a Neural Sequence Labeling Model


BokehMe: When Neural Rendering Meets Classical Rendering


BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata Embedding


Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures


BolT: Fused Window Transformers for fMRI Time Series Analysis


Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration


Bollyrics: Automatic Lyrics Generator for Romanised Hindi


BoloCalc: a sensitivity calculator for the design of Simons Observatory


Bolstering Stochastic Gradient Descent with Model Building


Boltzmann priors for Implicit Transfer Operators


Boltzmann sampling with quantum annealers via fast Stein correction


Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models


Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution


Bond formation insights into the Diels-Alder reaction: A bond perception and self-interaction perspective


Bond graph modelling of the cardiac action potential: Implications for drift and non-unique steady states


BondMatcher: H-Bond Stability Analysis in Molecular Systems


Bone Fracture Classification using Transfer Learning


Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?


Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions


Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning


Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World


Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners


BooVAE: Boosting Approach for Continual Learning of VAE


BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training


Book-Ahead & Supply Management for Ridesourcing Platforms


BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain


BookWorm: A Dataset for Character Description and Analysis


BoolNet: Minimizing The Energy Consumption of Binary Neural Networks


BoolSi: a tool for distributed simulations and analysis of Boolean networks


Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models


BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules


Boolformer: Symbolic Regression of Logic Functions with Transformers


Boost Event-Driven Tactile Learning with Location Spiking Neurons


Boost Video Frame Interpolation via Motion Adaptation


Boost then Convolve: Gradient Boosting Meets Graph Neural Networks


Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction


Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation


BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping


BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning


BoostTree and BoostForest for Ensemble Learning


Boosted Control Functions: Distribution generalization and invariance in confounded models


Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavour Tagging


Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation


Boosted Prompt Ensembles for Large Language Models


Boosted Sparse and Low-Rank Tensor Regression


Boosted dark matter from diffuse supernova neutrinos


Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion


Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer


Boosting 3D Adversarial Attacks with Attacking On Frequency


Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge


Boosting Adversarial Training via Fisher-Rao Norm-based Regularization


Boosting Adversarial Training with Hypersphere Embedding


Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping


Boosting Adversarial Transferability by Achieving Flat Local Maxima


Boosting Adversarial Transferability by Block Shuffle and Rotation


Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature


Boosting Adversarial Transferability with Learnable Patch-wise Masks


Boosting Alignment for Post-Unlearning Text-to-Image Generative Models


Boosting All-in-One Image Restoration via Self-Improved Privilege Learning


Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation


Boosting Audio Visual Question Answering via Key Semantic-Aware Cues


Boosting Audio-visual Zero-shot Learning with Large Language Models


Boosting Big Brother: Attacking Search Engines with Encodings


Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling


Boosting Black Box Variational Inference


Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution


Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models


Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture


Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer


Boosting Commit Classification with Contrastive Learning


Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning


Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models


Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters


Boosting Continuous Control with Consistency Policy


Boosting Contrastive Self-Supervised Learning with False Negative Cancellation


Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation


Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution


Boosting Cross-Architectural Emulation Performance by Foregoing the Intermediate Representation Model


Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers


Boosting Cross-Domain Speech Recognition with Self-Supervision


Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation


Boosting Crowd Counting via Multifaceted Attention


Boosting DNN Cold Inference on Edge Devices


Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting


Boosting Disfluency Detection with Large Language Model as Disfluency Generator


Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy


Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses


Boosting Distributional Copula Regression for Bivariate Right-Censored Time-to-Event Data


Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability


Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge


Boosting Entity Linking Performance by Leveraging Unlabeled Documents


Boosting Explainability through Selective Rationalization in Pre-trained Language Models


Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals


Boosting Factorization Machines via Saliency-Guided Mixup


Boosting Fair Classifier Generalization through Adaptive Priority Reweighing


Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores


Boosting Few-Pixel Robustness Verification via Covering Verification Designs


Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary


Boosting Few-Shot Visual Learning with Self-Supervision


Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement


Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching


Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment


Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning


Boosting Frank-Wolfe by Chasing Gradients


Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model


Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features


Boosting Generative Models by Leveraging Cascaded Meta-Models


Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation


Boosting Graph Neural Networks by Injecting Pooling in Message Passing


Boosting Graph Pooling with Persistent Homology


Boosting Graph Structure Learning with Dummy Nodes


Boosting Handwriting Text Recognition in Small Databases with Transfer Learning


Boosting High Resolution Image Classification with Scaling-up Transformers


Boosting House Price Predictions using Geo-Spatial Network Embedding


Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model


Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum


Boosting Jailbreak Transferability for Large Language Models


Boosting Joint Models for Longitudinal and Time-to-Event Data


Boosting LLM via Learning from Data Iteratively and Selectively


Boosting Language Models Reasoning with Chain-of-Knowledge Prompting


Boosting Large Language Models with Mask Fine-Tuning


Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching


Boosting Line Intensity Map Signal-to-Noise with the Ly-$α$ Forest Cross-Correlation


Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree


Boosting MLLM Reasoning with Text-Debiased Hint-GRPO


Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting


Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners


Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer


Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging


Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation


Boosting Multi-modal Model Performance with Adaptive Gradient Modulation


Boosting Multi-view Stereo with Late Cost Aggregation


Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference


Boosting Multivariate Structured Additive Distributional Regression Models


Boosting Neural Image Compression for Machines Using Latent Space Masking


Boosting Neural Representations for Videos with a Conditional Decoder


Boosting Night-time Scene Parsing with Learnable Frequency


Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model


Boosting Operational DNN Testing Efficiency through Conditioning


Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach


Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning


Boosting Photon-Number-Resolved Detection Rates of Transition-Edge Sensors by Machine Learning


Boosting Point Clouds Rendering via Radiance Mapping


Boosting Point-BERT by Multi-choice Tokens


Boosting Protein Language Models with Negative Sample Mining


Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images


Boosting Randomized Smoothing with Variance Reduced Classifiers


Boosting Real-Time Driving Scene Parsing with Shared Semantics


Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions


Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays


Boosting Relational Deep Learning with Pretrained Tabular Models


Boosting Residual Networks with Group Knowledge


Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net


Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?


Boosting Search Performance Using Query Variations


Boosting Segment Anything Model Towards Open-Vocabulary Learning


Boosting Self-Supervised Embeddings for Speech Enhancement


Boosting Semantic Segmentation with Semantic Boundaries


Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training


Boosting Semi-Supervised Face Recognition with Noise Robustness


Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data


Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing


Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations


Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization


Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning


Boosting Single Positive Multi-label Classification with Generalized Robust Loss


Boosting Standard Classification Architectures Through a Ranking Regularizer


Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future


Boosting Summarization with Normalizing Flows and Aggressive Training


Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery


Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models


Boosting Theory-of-Mind Performance in Large Language Models via Prompting


Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks


Boosting Unsupervised Segmentation Learning


Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals


Boosting Verified Training for Robust Image Classifications via Abstraction


Boosting Video Object Segmentation based on Scale Inconsistency


Boosting Video Object Segmentation via Space-time Correspondence Learning


Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization


Boosting Virtual Agent Learning and Reasoning: A Step-wise, Multi-dimensional, and Generalist Reward Model with Benchmark


Boosting Vision-Language Models for Histopathology Classification: Predict all at once


Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior


Boosting Visual-Language Models by Exploiting Hard Samples


Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data


Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters


Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer


Boosting Weakly-Supervised Temporal Action Localization with Text Information


Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection


Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data


Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations


Boosting e-BH via conditional calibration


Boosting legal case retrieval by query content selection with large language models


Boosting of Implicit Neural Representation-based Image Denoiser


Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models


Boosting performance for software defined networks from traffic engineering perspective


Boosting probes of CP violation in the top Yukawa coupling with Deep Learning


Boosting projective methods for quantum process and detector tomography


Boosting propagule transport models with individual-specific data from mobile apps


Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge


Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training


Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study


Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs


Boosting the Efficiency of Quantum Divider through Effective Design Space Exploration


Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning


Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering


Boosting the Power of Kernel Two-Sample Tests


Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining


Boosting the Transferability of Video Adversarial Examples via Temporal Translation


Boosting vision transformers for image retrieval


Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning


Boostlet.js: Image processing plugins for the web via JavaScript injection


Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval


BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework


BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models


Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning


Bootstrap Embedding on a Quantum Computer


Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification


Bootstrap Latent Representations for Multi-modal Recommendation


Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning


Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning


Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning


Bootstrap Your Object Detector via Mixed Training


Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations


Bootstrap aggregation and confidence measures to improve time series causal discovery


Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments


Bootstrap-Based Inference for Cube Root Asymptotics


Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding


Bootstrapped Coordinate Search for Multidimensional Scaling


Bootstrapped Masked Autoencoders for Vision BERT Pretraining


Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences


Bootstrapping Autonomous Driving Radars with Self-Supervised Learning


Bootstrapping Complete The Look at Pinterest


Bootstrapping Estimators based on the Block Maxima Method


Bootstrapping Generalization of Process Models Discovered From Event Data


Bootstrapping Generators from Noisy Data


Bootstrapping Human Optical Flow and Pose


Bootstrapping Informative Graph Augmentation via A Meta Learning Approach


Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning


Bootstrapping Language Models with DPO Implicit Rewards


Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel


Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia


Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration


Bootstrapping Multi-view Representations for Fake News Detection


Bootstrapping Object-level Planning with Large Language Models


Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping


Bootstrapping Parallel Anchors for Relative Representations