Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks


Automatic alignment of surgical videos using kinematic data


Automatic analysis of artistic paintings using information-based measures


Automatic and Computationally Efficient Alignment in Fan- and Cone-beam Tomography


Automatic and Universal Prompt Injection Attacks against Large Language Models


Automatic and effective discovery of quantum kernels


Automatic and explainable grading of meningiomas from histopathology images


Automatic benchmarking of large multimodal models via iterative experiment programming


Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment


Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations


Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networks


Automatic classification of eclipsing binary stars using deep learning methods


Automatic classification of prostate MR series type using image content and metadata


Automatic classification of stop realisation with wav2vec2.0


Automatic crack classification by exploiting statistical event descriptors for Deep Learning


Automatic cross-validation in structured models: Is it time to leave out leave-one-out?


Automatic dataset shift identification to support root cause analysis of AI performance drift


Automatic debiasing of neural networks via moment-constrained learning


Automatic deductive coding in discourse analysis: an application of large language models in learning analytics


Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects


Automatic detection and characterization of random telegraph noise in sCMOS sensors


Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality


Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes


Automatic detection of microsleep episodes with deep learning


Automatic diagnosis of the 12-lead ECG using a deep neural network


Automatic differential analysis of NMR experiments in complex samples


Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids


Automatic differentiation for Lax-Wendroff-type discretizations


Automatic differentiation for solid mechanics


Automatic differentiation in ML: Where we are and where we should be going


Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations


Automatic differentiation of dominant eigensolver and its applications in quantum physics


Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithms


Automatic doubly robust inference for linear functionals via calibrated debiased machine learning


Automatic extraction of wall streamlines from oil-flow visualizations using a convolutional neural network


Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences


Automatic generation of reviews of scientific papers


Automatic graph representation algorithm for heterogeneous catalysis


Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs


Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks


Automatic identification of segmentation errors for radiotherapy using geometric learning


Automatic labelling of urban point clouds using data fusion


Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data


Automatic location detection based on deep learning


Automatic measurement of vowel duration via structured prediction


Automatic motion estimation with applicationsto hiPSC-CMs


Automatic multitrack mixing with a differentiable mixing console of neural audio effects


Automatic nonlinear MPC approximation with closed-loop guarantees


Automatic punctuation restoration with BERT models


Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts


Automatic register identification for the open web using multilingual deep learning


Automatic retrieval of corresponding US views in longitudinal examinations


Automatic segmentation of skin lesions using deep learning


Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?


Automatic segmentation with detection of local segmentation failures in cardiac MRI


Automatic selection of clustering algorithms using supervised graph embedding


Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation


Automatic sleep stage classification with deep residual networks in a mixed-cohort setting


Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet


Automatic transformation of irreducible representations for efficient contraction of tensors with cyclic group symmetry


Automatically Adaptive Conformal Risk Control


Automatically Auditing Large Language Models via Discrete Optimization


Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications


Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter


Automatically Composing Representation Transformations as a Means for Generalization


Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies


Automatically Detecting Visual Bugs in HTML5 <canvas> Games


Automatically Distilling Storyboard with Rich Features for Android Apps


Automatically Exposing Problems with Neural Dialog Models


Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation


Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models


Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments


Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems


Automatically Generating Narrative-Style Radiology Reports from Volumetric CT Images; a Proof of Concept


Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularity


Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models


Automatically Identifying Complaints in Social Media


Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarios


Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources


Automatically Learning Compact Quality-aware Surrogates for Optimization Problems


Automatically Learning Data Augmentation Policies for Dialogue Tasks


Automatically Learning Hybrid Digital Twins of Dynamical Systems


Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases


Automatically Marginalized MCMC in Probabilistic Programming


Automatically Neutralizing Subjective Bias in Text


Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis


Automatically Select Emotion for Response via Personality-affected Emotion Transition


Automatically adapting the number of state particles in SMC$^2$


Automatically detecting anomalous exoplanet transits


Automatically detecting the conflicts between software requirements based on finer semantic analysis


Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish


Automatically identifying ordinary differential equations from data


Automatically tracking neurons in a moving and deforming brain


Automating 3D Dataset Generation with Neural Radiance Fields


Automating App Review Response Generation


Automating Artifact Detection in Video Games


Automating Behavioral Testing in Machine Translation


Automating Boundary Filling in Cubical Agda


Automating Code-Related Tasks Through Transformers: The Impact of Pre-training


Automating Computational Design with Generative AI


Automating Crochet Patterns for Surfaces of Revolution


Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions


Automating Data Science Pipelines with Tensor Completion


Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning


Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment


Automating Geometric Proofs of Collision Avoidance with Active Corners


Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models


Automating High Quality RT Planning at Scale


Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data


Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions


Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision


Automating Model Comparison in Factor Graphs


Automating Outlier Detection via Meta-Learning


Automating Program Structure Classification


Automating Prompt Leakage Attacks on Large Language Models Using Agentic Approach


Automating Public Announcement Logic with Relativized Common Knowledge as a Fragment of HOL in LogiKEy


Automating Reinforcement Learning with Example-based Resets


Automating Seccomp Filter Generation for Linux Applications


Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study


Automating Steady and Unsteady Adjoints: Efficiently Utilizing Implicit and Algorithmic Differentiation


Automating Test Case Identification in Java Open Source Projects on GitHub


Automating Traffic Model Enhancement with AI Research Agent


Automating Weight Function Generation in Graph Pebbling


Automating Work Orders and Tracking Winter Snow Plows and Patrol Vehicles with Telematics Data


Automating Zero-Shot Patch Porting for Hard Forks


Automating dynamic consent decisions for the processing of social media data in health research


Automating quantum feature map design via large language models


Automating the Correctness Assessment of AI-generated Code for Security Contexts


Automating the Discovery of Partial Differential Equations in Dynamical Systems


Automating the Enterprise with Foundation Models


Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning


Automating the Information Extraction from Semi-Structured Interview Transcripts


Automating the Removal of Obsolete TODO Comments


Automating the Search for Artificial Life with Foundation Models


Automating the search for a patent's prior art with a full text similarity search


Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study


Automaton-Guided Curriculum Generation for Reinforcement Learning Agents


Automorphic Equivalence-aware Graph Neural Network


Automorphic Forms on Feit's Hermitian Lattices


Automorphism Ensemble Decoding of Quantum LDPC Codes


Automorphism Ensemble Decoding of Reed-Muller Codes


Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADAS


AutonomROS: A ReconROS-based Autonomous Driving Unit


Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles


Autonomous Agents for Collaborative Task under Information Asymmetry


Autonomous Blimp Control via H-infinity Robust Deep Residual Reinforcement Learning


Autonomous Computer Vision Development with Agentic AI


Autonomous Cooperative Wall Building by a Team of Unmanned Aerial Vehicles in the MBZIRC 2020 Competition


Autonomous Cross Domain Adaptation under Extreme Label Scarcity


Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts


Autonomous Decision Making for Air Taxi Networks


Autonomous Discovery of Tough Structures


Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network


Autonomous Drifting Based on Maximal Safety Probability Learning


Autonomous Driving Implementation in an Experimental Environment


Autonomous Driving in Unstructured Environments: How Far Have We Come?


Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection


Autonomous Driving with Spiking Neural Networks


Autonomous Droplet Microfluidic Design Framework with Large Language Models


Autonomous Evaluation and Refinement of Digital Agents


Autonomous Execution of Cinematographic Shots with Multiple Drones


Autonomous Exploration Method for Fast Unknown Environment Mapping by Using UAV Equipped with Limited FOV Sensor


Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs


Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning


Autonomous Exploration and Semantic Updating of Large-Scale Indoor Environments with Mobile Robots


Autonomous Exploration of Unknown 3D Environments Using a Frontier-Based Collector Strategy


Autonomous Flights inside Narrow Tunnels


Autonomous GIS: the next-generation AI-powered GIS


Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off


Autonomous Hook-Based Grasping and Transportation with Quadcopters


Autonomous Improvement of Instruction Following Skills via Foundation Models


Autonomous Integration of TSN-unaware Applications with QoS Requirements in TSN Networks


Autonomous Investigations over WS$_2$ and Au{111} with Scanning Probe Microscopy


Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks


Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues


Autonomous Legacy Web Application Upgrades Using a Multi-Agent System


Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning


Autonomous Microscopy Experiments through Large Language Model Agents


Autonomous Mosquito Habitat Detection Using Satellite Imagery and Convolutional Neural Networks for Disease Risk Mapping


Autonomous Navigation System from Simultaneous Localization and Mapping


Autonomous Navigation in Ice-Covered Waters with Learned Predictions on Ship-Ice Interactions


Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping


Autonomous Navigation of MAVs in Unknown Cluttered Environments


Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning


Autonomous Navigation with Convergence Guarantees in Complex Dynamic Environments


Autonomous Network Defence using Reinforcement Learning


Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning


Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization


Autonomous RISs and Oblivious Base Stations: The Observer Effect and its Mitigation


Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture


Autonomous Reinforcement Learning: Formalism and Benchmarking


Autonomous Robot for Disaster Mapping and Victim Localization


Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning


Autonomous Sparse Mean-CVaR Portfolio Optimization


Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots


Autonomous Thermalling as a Partially Observable Markov Decision Process (Extended Version)


Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap


Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing


Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles


Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects


Autonomous demon exploiting heat and information at the trajectory level


Autonomous parafoil precision landing using convex real-time optimized guidance and control


Autonomous programmable microscopic electronic lablets optimized with digital control


Autonomous sPOMDP Environment Modeling With Partial Model Exploitation


Autonomy Architectures for Safe Planning in Unknown Environments Under Budget Constraints


Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization


Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation


Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT


Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results


Autoregression-free video prediction using diffusion model for mitigating error propagation


Autoregressive 3D Shape Generation via Canonical Mapping


Autoregressive Action Sequence Learning for Robotic Manipulation


Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition


Autoregressive Co-Training for Learning Discrete Speech Representations


Autoregressive Conditional Neural Processes


Autoregressive Distillation of Diffusion Transformers


Autoregressive GAN for Semantic Unconditional Head Motion Generation


Autoregressive Identification of Kronecker Graphical Models


Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI


Autoregressive Image Generation with Randomized Parallel Decoding


Autoregressive Image Generation without Vector Quantization


Autoregressive Knowledge Distillation through Imitation Learning


Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs


Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation


Autoregressive Models in Vision: A Survey


Autoregressive Moving-average Attention Mechanism for Time Series Forecasting


Autoregressive Networks with Dependent Edges


Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation


Autoregressive Perturbations for Data Poisoning


Autoregressive Policies for Continuous Control Deep Reinforcement Learning


Autoregressive Policy Optimization for Constrained Allocation Tasks


Autoregressive Pre-Training on Pixels and Texts


Autoregressive Pretraining with Mamba in Vision


Autoregressive Reasoning over Chains of Facts with Transformers


Autoregressive Score Generation for Multi-trait Essay Scoring


Autoregressive Search Engines: Generating Substrings as Document Identifiers


Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better


Autoregressive Structured Prediction with Language Models


Autoregressive Text Generation Beyond Feedback Loops


Autoregressive Transformers for Data-Driven Spatio-Temporal Learning of Turbulent Flows


Autoregressive Video Generation without Vector Quantization


Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation


Autoregressive neural-network wavefunctions for ab initio quantum chemistry


Autoregressive with Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series


Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming


Autotelic Reinforcement Learning in Multi-Agent Environments


Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices


Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost


AuxDet: Auxiliary Metadata Matters for Omni-Domain Infrared Small Target Detection


Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation


Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial Optimization


Auxiliary Learning as an Asymmetric Bargaining Game


Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation


Auxiliary Loss Reweighting for Image Inpainting


Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems


Auxiliary Quantile Forecasting with Linear Networks


Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral


Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction


Auxiliary Tasks Speed Up Learning PointGoal Navigation


Auxiliary Tasks and Exploration Enable ObjectNav


Auxiliary Tasks to Boost Biaffine Semantic Dependency Parsing


Auxiliary gradient-based sampling algorithms


Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving


Auxiliary-task learning for geographic data with autoregressive embeddings


AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning


Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting


Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities


Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty


AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars


AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture


AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control


AvatarGo: Plug and Play self-avatars for VR


AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing


AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose


Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model


Average Adjusted Association: Efficient Estimation with High Dimensional Confounders


Average AoI Minimization for Energy Harvesting Relay-aided Status Update Network Using Deep Reinforcement Learning


Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation


Average Individual Fairness: Algorithms, Generalization and Experiments


Average Is Not Enough: Caveats of Multilingual Evaluation


Average partial effect estimation using double machine learning


AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging


Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems


Averaged Deep Denoisers for Image Regularization


Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity


Averaging Orientations with Molecular Symmetry in Cryo-EM


Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data


Averaging causal estimators in high dimensions


Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors


Averting multi-qubit burst errors in surface code magic state factories


Aviary: training language agents on challenging scientific tasks


Avoid Overfitting User Specific Information in Federated Keyword Spotting


AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors


Avoided-crossings, degeneracies and Berry phases in the spectrum of quantum noise through analytic Bloch-Messiah decomposition


Avoiding $\mathbf{exp(R_{max})}$ scaling in RLHF through Preference-based Exploration


Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures


Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks


Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks


Avoiding Materialisation for Guarded Aggregate Queries


Avoiding Post-Processing with Event-Based Detection in Biomedical Signals


Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA


Avoiding Resentment Via Monotonic Fairness


Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization


Avoiding barren plateaus via Gaussian Mixture Model


Avoiding convergence stagnation in a quantum circuit evolutionary framework through an adaptive cost function


Avoiding discretization issues for nonlinear eigenvalue problems


Avoiding dynamic small obstacles with onboard sensing and computating on aerial robots


Avoiding matrix exponentials for large transition rate matrices


Avoiding pathologies in very deep networks


Avoiding spurious correlations via logit correction


Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve


Avoiding the Great Filter: A Simulation of Important Factors for Human Survival


Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training


Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering


Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts


AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere


Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection


AxCell: Automatic Extraction of Results from Machine Learning Papers


AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models


AxMED: Formal Analysis and Automated Design of Approximate Median Filters using BDDs


Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis


Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs


AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics


Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models


Axion Echos from the Supernova Graveyard


Axion Magnetic Resonance: A Novel Enhancement in Axion-Photon Conversion


Axion global fits with Peccei-Quinn symmetry breaking before inflation using GAMBIT


Axion helioscopes as solar magnetometers


Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings


Axisymmetric models for neutron star merger remnants with realistic thermal and rotational profiles


AxoNet: an AI-based tool to count retinal ganglion cell axons


AxomiyaBERTa: A Phonologically-aware Transformer Model for Assamese


AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions


AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software


Azadkia-Chatterjee's dependence coefficient for infinite dimensional data


AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception


B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators


B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions


B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows


B-DCGAN:Evaluation of Binarized DCGAN for FPGA


B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction


B-MASTER: Scalable Bayesian Multivariate Regression Analysis for Selecting Targeted Essential Regressors to Identify the Key Genera in Microbiome-Metabolite Relation Dynamics


B-Pref: Benchmarking Preference-Based Reinforcement Learning


B-RIGHT: Benchmark Re-evaluation for Integrity in Generalized Human-Object Interaction Testing


B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning


B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens


B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data


B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data


B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers


B-cos Networks: Alignment is All We Need for Interpretability


B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable


B-tests: Low Variance Kernel Two-Sample Tests


B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search


B2T Connection: Serving Stability and Performance in Deep Transformers


B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests


BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models


BA-Net: Bridge Attention for Deep Convolutional Neural Networks


BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives


BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability


BABEL: Bodies, Action and Behavior with English Labels


BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting


BACON: Band-limited Coordinate Networks for Multiscale Scene Representation


BACON: Bayesian Optimal Condensation Framework for Dataset Distillation


BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer


BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting


BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields


BAD: BiAs Detection for Large Language Models in the context of candidate screening


BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation


BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)


BADGR: An Autonomous Self-Supervised Learning-Based Navigation System


BADet: Boundary-Aware 3D Object Detection from Point Clouds


BAE-NET: Branched Autoencoder for Shape Co-Segmentation


BAE-Net: A Low complexity and high fidelity Bandwidth-Adaptive neural network for speech super-resolution


BAE: BERT-based Adversarial Examples for Text Classification


BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Cell Defect Detection


BAFFLE: A Baseline of Backpropagation-Free Federated Learning


BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets


BAFLineDP: Code Bilinear Attention Fusion Framework for Line-Level Defect Prediction


BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering


BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models


BAGS: An automatic homework grading system using the pictures taken by smart phones


BAGUA: Scaling up Distributed Learning with System Relaxations


BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change


BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning


BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text


BAL: Balancing Diversity and Novelty for Active Learning


BALANCE: Bayesian Linear Attribution for Root Cause Localization


BAM! Born-Again Multi-Task Networks for Natural Language Understanding


BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos


BAM: A Balanced Attention Mechanism for Single Image Super Resolution


BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models


BAMITA: Bayesian Multiple Imputation for Tensor Arrays


BAMM: Bidirectional Autoregressive Motion Model


BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense


BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset


BAN-PL: a Novel Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service


BAN: Detecting Backdoors Activated by Adversarial Neuron Noise


BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment


BANGS: Game-Theoretic Node Selection for Graph Self-Training


BANMo: Building Animatable 3D Neural Models from Many Casual Videos


BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus


BANet: Bilateral Aggregation Network for Mobile Stereo Matching


BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring


BAPULM: Binding Affinity Prediction using Language Models


BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks


BAREB: A Bayesian repulsive biclustering model for periodontal data


BARF: Bundle-Adjusting Neural Radiance Fields


BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection


BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs


BARS: A Benchmark for Airport Runway Segmentation


BARS: Towards Open Benchmarking for Recommender Systems


BARTScore: Evaluating Generated Text as Text Generation


BARTSmiles: Generative Masked Language Models for Molecular Representations


BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU


BASE-SQL: A powerful open source Text-To-SQL baseline approach


BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence


BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring


BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions


BASIR: Budget-Assisted Sectoral Impact Ranking -- A Dataset for Sector Identification and Performance Prediction Using Language Models


BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation


BASN -- Learning Steganography with Binary Attention Mechanism


BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm


BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification


BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN


BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization


BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving


BAdaCost: Multi-class Boosting with Costs


BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification


BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation


BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models


BBK: a simpler, faster algorithm for enumerating maximal bicliques in large sparse bipartite graphs


BBN Photodisintegration Constraints on Gravitationally Produced Vector Bosons


BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition


BBQ: A Hand-Built Bias Benchmark for Question Answering


BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration


BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models


BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes


BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery


BCD: A Cross-Architecture Binary Comparison Database Experiment Using Locality Sensitive Hashing Algorithms


BCDNet: A Fast Residual Neural Network For Invasive Ductal Carcinoma Detection


BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning


BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism


BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning


BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix


BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning


BCN: Batch Channel Normalization for Image Classification


BCNet: Learning Body and Cloth Shape from A Single Image


BCWS: Bilingual Contextual Word Similarity


BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts


BDA: Bangla Text Data Augmentation Framework


BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images


BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network


BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis


BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation


BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery


BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching


BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural Networks


BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos


BEACON -- Automated Aberration Correction for Scanning Transmission Electron Microscopy using Bayesian Optimization


BEACON: Benchmark for Comprehensive RNA Tasks and Language Models


BEADS: A Canonical Visualization of Quantum States for Applications in Quantum Information Processing


BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense


BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation


BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models


BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning


BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory


BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation


BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning


BEAST: Online Joint Beat and Downbeat Tracking Based on Streaming Transformer


BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search


BEATs: Audio Pre-Training with Acoustic Tokenizers


BEBERT: Efficient and Robust Binary Ensemble BERT


BEBLID: Boosted efficient binary local image descriptor


BEC: Bit-Level Static Analysis for Reliability against Soft Errors


BECLR: Batch Enhanced Contrastive Few-Shot Learning


BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection


BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks


BEDE: Bayesian Estimates of Dust Evolution For Nearby Galaxies


BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs


BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation


BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation


BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models


BEEMA: Braille Adapted Enhanced PIN Entry Mechanism using Arrow keys


BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection


BEER: Biochemical Estimator and Explorer of Residues -- A Comprehensive Software Suite for Protein Sequence Analysis


BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression


BEExAI: Benchmark to Evaluate Explainable AI


BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis


BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT


BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation


BEHAVE: Dataset and Method for Tracking Human Object Interactions


BEHM-GAN: Bandwidth Extension of Historical Music using Generative Adversarial Networks


BEHRT: Transformer for Electronic Health Records


BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting


BEKG: A Built Environment Knowledge Graph


BELB: a Biomedical Entity Linking Benchmark


BELIEF: A distance-based redundancy-proof feature selection method for Big Data


BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting


BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation


BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data


BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking


BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect


BENO: Boundary-embedded Neural Operators for Elliptic PDEs


BERN2: an advanced neural biomedical named entity recognition and normalization tool


BERP: A Blind Estimator of Room Parameters for Single-Channel Noisy Speech Signals


BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition


BERT & Family Eat Word Salad: Experiments with Text Understanding


BERT Fine-tuning For Arabic Text Summarization


BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification


BERT Goes Shopping: Comparing Distributional Models for Product Representations


BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology


BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations


BERT Learns to Teach: Knowledge Distillation with Meta Learning


BERT Lost Patience Won't Be Robust to Adversarial Slowdown


BERT Rankers are Brittle: a Study using Adversarial Document Perturbations


BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines


BERT based Transformers lead the way in Extraction of Health Information from Social Media


BERT for Monolingual and Cross-Lingual Reverse Dictionary


BERT got a Date: Introducing Transformers to Temporal Tagging


BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?


BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks


BERT with History Answer Embedding for Conversational Question Answering


BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation


BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis


BERT-ATTACK: Adversarial Attack Against BERT Using BERT


BERT-Assisted Semantic Annotation Correction for Emotion-Related Questions


BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI


BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer


BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks


BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance


BERT-LID: Leveraging BERT to Improve Spoken Language Identification


BERT-LSH: Reducing Absolute Compute For Attention


BERT-QE: Contextualized Query Expansion for Document Re-ranking


BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset


BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA


BERT-like Pre-training for Symbolic Piano Music Classification Tasks


BERT-of-Theseus: Compressing BERT by Progressive Module Replacing


BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection


BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction


BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment


BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis


BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance


BERTVision -- A Parameter-Efficient Approach for Question Answering


BERTian Poetics: Constrained Composition with Masked LMs


BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition


BERTology Meets Biology: Interpreting Attention in Protein Language Models


BERTops: Studying BERT Representations under a Topological Lens


BERTrend: Neural Topic Modeling for Emerging Trends Detection


BERTs are Generative In-Context Learners


BERTtime Stories: Investigating the Role of Synthetic Story Data in Language pre-training


BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection


BESTAnP: Bi-Step Efficient and Statistically Optimal Estimator for Acoustic-n-Point Problem


BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification Context


BEV$^2$PR: BEV-Enhanced Visual Place Recognition with Structural Cues


BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation


BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection


BEV-LIO(LC): BEV Image Assisted LiDAR-Inertial Odometry with Loop Closure


BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios


BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning


BEVBert: Multimodal Map Pre-training for Language-guided Navigation


BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation


BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds


BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model


BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection


BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers


BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation


BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection


BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis


BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection


BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles


BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection


BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo


BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space


BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving


BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving


BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English


BEoRN: A fast and flexible framework to simulate the epoch of reionisation and cosmic dawn


BEyond observation: an approach for ObjectNav


BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial Networks


BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis


BFBrain: Scalar Bounded-From-Below Conditions from Bayesian Active Learning


BFS based distributed algorithm for parallel local directed sub-graph enumeration


BFT-PoLoc: A Byzantine Fortified Trigonometric Proof of Location Protocol using Internet Delays


BFTBrain: Adaptive BFT Consensus with Reinforcement Learning


BG-HOP: A Bimanual Generative Hand-Object Prior


BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection


BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh


BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models


BHGNN-RT: Network embedding for directed heterogeneous graphs


BHPWAVE: An adiabatic gravitational waveform model for compact objects undergoing quasi-circular inspirals into rotating massive black holes


BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset


BHViT: Binarized Hybrid Vision Transformer


BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation


BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation


BI-RADS BERT & Using Section Segmentation to Understand Radiology Reports


BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency


BICEP / Keck XVI: Characterizing Dust Polarization through Correlations with Neutral Hydrogen


BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition


BIFRÖST: 3D-Aware Image compositing with Language Instructions


BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent


BIG-C: a Multimodal Multi-Purpose Dataset for Bemba


BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing


BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis


BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration


BIGSTICK: A flexible configuration-interaction shell-model code


BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models


BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification


BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs


BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks


BILP-Q: Quantum Coalition Structure Generation


BIMBA: Selective-Scan Compression for Long-Range Video Question Answering


BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients


BIMCaP: BIM-based AI-supported LiDAR-Camera Pose Refinement


BIMM: Brain Inspired Masked Modeling for Video Representation Learning


BIMRL: Brain Inspired Meta Reinforcement Learning


BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets


BINGO: A code for the efficient computation of the scalar bi-spectrum


BINet: a binary inpainting network for deep patch-based image compression


BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature


BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition


BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops


BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence


BIP: Boost Invariant Polynomials for Efficient Jet Tagging


BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives


BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios


BISCUIT: Causal Representation Learning from Binary Interactions


BISON: Blind Identification with Stateless scOped pseudoNyms


BITE: Textual Backdoor Attacks with Iterative Trigger Injection


BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning


BIVAS: A scalable Bayesian method for bi-level variable selection with applications


BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models


BInD: Bond and Interaction-generating Diffusion Model for Multi-objective Structure-based Drug Design


BIoTA Control-Aware Attack Analytics for Building Internet of Things


BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation


BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos


BLAB Reporter: Automated journalism covering the Blue Amazon


BLADE: Benchmarking Language Model Agents for Data-Driven Science


BLADERUNNER: Rapid Countermeasure for Synthetic (AI-Generated) StyleGAN Faces


BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment


BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models


BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference


BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing


BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization


BLAT: Bootstrapping Language-Audio Pre-training based on AudioSet Tag-guided Synthetic Data


BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling


BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge


BLEBeacon: A Real-Subject Trial Dataset from Mobile Bluetooth Low Energy Beacons


BLEND: A Fast, Memory-Efficient, and Accurate Mechanism to Find Fuzzy Seed Matches in Genome Analysis


BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation


BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation


BLEU is Not Suitable for the Evaluation of Text Simplification


BLEUBERI: BLEU is a surprisingly effective reward for instruction following


BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages


BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset


BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions


BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM


BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection


BLONDiE: Blockchain Ontology with Dynamic Extensibility


BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting


BLSP-Emo: Towards Empathetic Large Speech-Language Models


BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing


BLT: Can Large Language Models Handle Basic Legal Text?


BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXams


BLUR: A Bi-Level Optimization Approach for LLM Unlearning


BLURtooth: Exploiting Cross-Transport Key Derivation in Bluetooth Classic and Bluetooth Low Energy


BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving


BM-NAS: Bilevel Multimodal Neural Architecture Search


BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities


BMAD: Benchmarks for Medical Anomaly Detection


BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning


BMRS: Bayesian Model Reduction for Structured Pruning


BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers


BMX: Boosting Natural Language Generation Metrics with Explainability


BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search


BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator


BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts


BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images


BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation


BN-NAS: Neural Architecture Search with Batch Normalization


BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling


BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching


BNLP: Natural language processing toolkit for Bengali language


BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming


BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R


BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion


BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization Calculations


BO-ICP: Initialization of Iterative Closest Point Based on Bayesian Optimization


BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers


BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification


BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters


BOAssembler: a Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance


BOBA: Byzantine-Robust Federated Learning with Label Skewness


BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing


BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings


BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents


BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation


BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data


BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions


BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding


BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases


BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems


BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision


BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting


BONES: Near-Optimal Neural-Enhanced Video Streaming


BOOSTR: A Dataset for Accelerator Control Systems


BOPIM: Bayesian Optimization for influence maximization on temporal networks


BORA: A Personalized Data Display for Large-scale Experiments


BORAY: An Axisymmetric Ray Tracing Code Supports Both Closed and Open Field Lines Plasmas


BORM: Bayesian Object Relation Model for Indoor Scene Recognition


BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog


BOSC: A toolbox for aerial imagery mapping


BOSON$^{-1}$: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization


BOSS: Bayesian Optimization over String Spaces


BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples


BOTAN: BOnd TArgeting Network for prediction of slow glassy dynamics by machine learning relative motion


BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics


BOWIE-ALIGN: How formation and migration histories of giant planets impact atmospheric compositions


BOWLL: A Deceptively Simple Open World Lifelong Learner


BOXR: Body and head motion Optimization framework for eXtended Reality


BOXREC: Recommending a Box of Preferred Outfits in Online Shopping


BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases


BOtied: Multi-objective Bayesian optimization with tied multivariate ranks


BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM


BP-MAC: Fast Authentication for Short Messages


BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction


BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training


BPE Stays on SCRIPT: Structured Encoding for Robust Multilingual Pretokenization


BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages


BPFContain: Fixing the Soft Underbelly of Container Security


BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion


BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation


BPNet: Bézier Primitive Segmentation on 3D Point Clouds


BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment


BPPSA: Scaling Back-propagation by Parallel Scan Algorithm


BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model


BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning


BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention


BR-NS: an Archive-less Approach to Novelty Search


BR-SNIS: Bias Reduced Self-Normalized Importance Sampling


BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning


BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis


BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs


BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual Inversion


BRATsynthetic: Text De-identification using a Markov Chain Replacement Strategy for Surrogate Personal Identifying Information


BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation


BRDF-NeRF: Neural Radiance Fields with Optical Satellite Images and BRDF Modelling


BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction


BREEDS: Benchmarks for Subpopulation Shift


BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer


BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception


BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text


BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues


BRIDLE: Generalized Self-supervised Learning with Quantization


BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression


BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response


BRIO: Bringing Order to Abstractive Summarization


BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems


BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning


BROJA-2PID: A robust estimator for bivariate partial information decomposition


BRON -- Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations


BROUTE: a benchmark suite for the implementation of standard vehicle routing algorithms


BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity


BRcal: An R Package to Boldness-Recalibrate Probability Predictions


BRep Boundary and Junction Detection for CAD Reverse Engineering


BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images


BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models


BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning


BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion


BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction


BSBench: will your LLM find the largest prime number?


BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion Recognition


BSD: a Bayesian framework for parametric models of neural spectra


BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images


BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification


BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection


BSL: Understanding and Improving Softmax Loss for Recommendation


BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification


BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation


BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization


BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks


BSS-CFFMA: Cross-Domain Feature Fusion and Multi-Attention Speech Enhancement Network based on Self-Supervised Embedding


BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports


BScNets: Block Simplicial Complex Neural Networks


BSpell: A CNN-Blended BERT Based Bangla Spell Checker


BT-ACTION: A Test-Driven Approach for Modular Understanding of User Instruction Leveraging Behaviour Trees and LLMs


BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning


BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models


BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning


BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs


BTO-RRT: A rapid, optimal, smooth and point cloud-based path planning algorithm


BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models


BTRec: BERT-Based Trajectory Recommendation for Personalized Tours


BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation


BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection


BTS: A Comprehensive Benchmark for Tie Strength Prediction


BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification


BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics


BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation


BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022


BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes


BUGSPHP: A dataset for Automated Program Repair in PHP


BULNER: BUg Localization with word embeddings and NEtwork Regularization


BUMP: A Benchmark of Reproducible Breaking Dependency Updates


BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics


BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image


BUQEYE Guide to Projection-Based Emulators in Nuclear Physics


BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video


BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes


BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI


BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense


BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models


BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference


BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks


BVI-AOM: A New Training Dataset for Deep Video Compression Optimization


BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression


BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images


BVR Gym: A Reinforcement Learning Environment for Beyond-Visual-Range Air Combat


BViT: Broad Attention based Vision Transformer


BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges


BWT construction and search at the terabase scale


BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering


BYOS: Knowledge-driven Large Language Models Bring Your Own Operating System More Excellent


BaCO: A Fast and Portable Bayesian Compiler Optimization Framework


BaCaDI: Bayesian Causal Discovery with Unknown Interventions


BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset


BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring


BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning


Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations


Babel: A Framework for Developing Performant and Dependable Distributed Protocols


BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data


BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications


BabelCalib: A Universal Approach to Calibrating Central Cameras


BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews


Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty


BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video


BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models


BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?


BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps


Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations


Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection


Back Translation for Speech-to-text Translation Without Transcripts


Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features


Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms


Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders


Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari


Back to Basics: Deep Reinforcement Learning in Traffic Signal Control


Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search


Back to Supervision: Boosting Word Boundary Detection through Frame Classification


Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction


Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation


Back to the Basics: Revisiting Out-of-Distribution Detection Baselines


Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation


Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling


Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning


Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games


Back to the Future: GNN-based NO$_2$ Forecasting via Future Covariates


Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models


Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model


Back to the Source: Diffusion-Driven Test-Time Adaptation


Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models


Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval


Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes


Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization


Back-translation for Large-Scale Multilingual Machine Translation


Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future


BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning


BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment


BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision


BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors


Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification


BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning


Backchannel Detection and Agreement Estimation from Video with Transformer Networks


Backdoor Attack against One-Class Sequential Anomaly Detection Models


Backdoor Attack against Speaker Verification


Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis


Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning


Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP


Backdoor Attack through Frequency Domain


Backdoor Attack with Sparse and Invisible Trigger


Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger


Backdoor Attacks for Remote Sensing Data with Wavelet Transform


Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis


Backdoor Attacks on Self-Supervised Learning


Backdoor Attacks on Time Series: A Generative Approach


Backdoor Attacks to Graph Neural Networks


Backdoor Cleaning without External Guidance in MLLM Fine-tuning


Backdoor Contrastive Learning via Bi-level Trigger Optimization


Backdoor Defense via Adaptively Splitting Poisoned Dataset


Backdoor Defense via Deconfounded Representation Learning


Backdoor Defense via Decoupling the Training Process


Backdoor Defense via Suppressing Model Shortcuts


Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions


Backdoor Pre-trained Models Can Transfer to All


Backdoor Scanning for Deep Neural Networks through K-Arm Optimization


Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency


Backdoor Threats from Compromised Foundation Models to Federated Learning


Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models


Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias


BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning


BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models


BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation


Backdooring Bias into Text-to-Image Models


Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions


Background Knowledge in Schema Matching: Strategy vs. Data


Background Learnable Cascade for Zero-Shot Object Detection


Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation


Background Matting: The World is Your Green Screen


Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport


Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection With Sky-Annotated Dataset


Background Splitting: Finding Rare Classes in a Sea of Background


Background Summarization of Event Timelines


Background Suppression Network for Weakly-supervised Temporal Action Localization


Background for a gamma-ray satellite on a low-Earth orbit


Background of radio photons from primordial black holes


Background-Click Supervision for Temporal Action Localization


Background-Mixed Augmentation for Weakly Supervised Change Detection


Background-aware Moment Detection for Video Moment Retrieval


Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces


Backprop-Free Reinforcement Learning with Active Neural Generative Coding


Backpropagated Gradient Representations for Anomaly Detection


Backpropagating Linearly Improves Transferability of Adversarial Examples


Backpropagating through Structured Argmax using a SPIGOT


Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics


Backpropagation Clipping for Deep Learning with Differential Privacy


Backpropagation and gradient descent for an optimized dynamic mode decomposition


Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning


Backpropagation through Back Substitution with a Backslash


Backpropagation through Combinatorial Algorithms: Identity with Projection Works


Backpropagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods


Backpropagation through nonlinear units for all-optical training of neural networks


Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search


Backpropagation-free Network for 3D Test-time Adaptation


Backtesting the predictability of COVID-19


Backtracing: Retrieving the Cause of the Query


Backtracking Regression Forests for Accurate Camera Relocalization


Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning


Backward CUSUM for Testing and Monitoring Structural Change with an Application to COVID-19 Pandemic Data


Backward Error Analysis for Perturbation Methods


Backward Learning for Goal-Conditioned Policies


Backward Population Synthesis: Mapping the Evolutionary History of Gravitational-Wave Progenitors


Backward error analysis for conjugate symplectic methods


Backward error analysis for variational discretisations of partial differential equations


Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems


Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer


Bacteriophage classification for assembled contigs using Graph Convolutional Network


Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation


Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection


Bad Characters: Imperceptible NLP Attacks


Bad Global Minima Exist and SGD Can Reach Them


Bad Neighbors: On Understanding VPN Provider Networks


BadActs: A Universal Backdoor Defense in the Activation Space


BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents


BadCM: Invisible Backdoor Attack Against Cross-Modal Learning


BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models


BadEdit: Backdooring large language models by model editing


BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label


BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning


BadMerging: Backdoor Attacks Against Model Merging


BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks


BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning


Badgers: generating data quality deficits with Python


Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks


Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization


Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer


Bag of Instances Aggregation Boosts Self-supervised Distillation


Bag of Tricks and A Strong baseline for Image Copy Detection


Bag of Tricks for Domain Adaptive Multi-Object Tracking


Bag of Tricks for Fully Test-Time Adaptation


Bag of Tricks for In-Distribution Calibration of Pretrained Transformers


Bag of Tricks for Inference-time Computation of LLM Reasoning


Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images


Bag of Tricks for Optimizing Transformer Efficiency


Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction


Bag-of-Words as Target for Neural Machine Translation


BagBERT: BERT-based bagging-stacking for multi-topic classification


BagFlip: A Certified Defense against Data Poisoning


BagMinHash - Minwise Hashing Algorithm for Weighted Sets


Bagging Provides Assumption-free Stability


Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization


Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification


Bags of Local Convolutional Features for Scalable Instance Search


Bags of Projected Nearest Neighbours: Competitors to Random Forests?


BaiJia: A Large-Scale Role-Playing Agent Corpus of Chinese Historical Characters


Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory


BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis


BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis


Baking Neural Radiance Fields for Real-Time View Synthesis


Baking for Dafny: A CakeML Backend for Dafny


BalCon -- resource balancing algorithm for VM consolidation


BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer


Balance Maximization in Signed Networks via Edge Deletions


Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation


BalanceBenchmark: A Survey for Imbalanced Learning


Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models


Balanced Allocations in Batches: Simplified and Generalized


Balanced Allocations in Batches: The Tower of Two Choices


Balanced Allocations with the Choice of Noise


Balanced Binary Tree Schemes for Computing Zernike Radial Polynomials


Balanced Classification: A Unified Framework for Long-Tailed Object Detection


Balanced Contrastive Learning for Long-Tailed Visual Recognition


Balanced Crossover Operators in Genetic Algorithms


Balanced Data Sampling for Language Model Training with Clustering


Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning


Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization


Balanced Energy Regularization Loss for Out-of-distribution Detection


Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group


Balanced Graph Structure Information for Brain Disease Detection


Balanced Knowledge Distillation for Long-tailed Learning


Balanced MSE for Imbalanced Visual Regression


Balanced Meta-Softmax for Long-Tailed Visual Recognition


Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models


Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture


Balanced Multi-Relational Graph Clustering


Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations


Balanced Off-Policy Evaluation for Personalized Pricing


Balanced Rate-Distortion Optimization in Learned Image Compression


Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition


Balanced Spherical Grid for Egocentric View Synthesis


Balanced Split: A new train-test data splitting strategy for imbalanced datasets


Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making


Balanced quasistatic evolutions of critical points in metric spaces


Balanced-MixUp for Highly Imbalanced Medical Image Classification


Balancing Adaptability and Non-exploitability in Repeated Games


Balancing Bias and Variance for Active Weakly Supervised Learning


Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning


Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis


Balancing Discriminability and Transferability for Source-Free Domain Adaptation


Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation


Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality


Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification


Balancing Embedding Spectrum for Recommendation


Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs


Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models


Balancing Fairness and Efficiency in Energy Resource Allocations


Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems


Balancing Garbage Collection vs I/O Amplification using hybrid Key-Value Placement in LSM-based Key-Value Stores


Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees


Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition


Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach


Balancing Label Quantity and Quality for Scalable Elicitation


Balancing Lexical and Semantic Quality in Abstractive Summarization


Balancing Logit Variation for Long-tailed Semantic Segmentation


Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties


Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning


Balancing Pipeline Parallelism with Vocabulary Parallelism


Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy


Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design


Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares


Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions


Balancing Simulation-based Inference for Conservative Posteriors


Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model


Balancing Speed and Quality in Online Learning to Rank for Information Retrieval


Balancing Summarization and Change Detection in Graph Streams


Balancing Test Accuracy and Security in Computerized Adaptive Testing


Balancing Training for Multilingual Neural Machine Translation


Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias


Balancing Utility and Fairness in Submodular Maximization (Technical Report)


Balancing Value Underestimation and Overestimation with Realistic Actor-Critic


Balancing act: multivariate rational reconstruction for IBP


Balancing between the Local and Global Structures (LGS) in Graph Embedding


Balancing chemical equations: form the perspective of Hilbert basis


Balancing detectability and performance of attacks on the control channel of Markov Decision Processes


Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning


Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization


Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders


Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets


Balancing the Scales: Reinforcement Learning for Fair Classification


Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising


Balancing the Tradeoff Between Clustering Value and Interpretability


Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours


Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method


Balancing thermal comfort datasets: We GAN, but should we?


Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem


Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models


Baler -- Machine Learning Based Compression of Scientific Data


Ball-and-socket joint pose estimation using magnetic field


Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons


Balls and Walls: A Compact Unary Coding for Bosonic States


Balls, cups, and quasi-potentials: quantifying stability in stochastic systems


Baloo: A Large-Scale Hybrid Soft Robotic Torso for Whole-Arm Manipulation


Balsa: Learning a Query Optimizer Without Expert Demonstrations


Bam-readcount -- rapid generation of basepair-resolution sequence metrics


Bambara Language Dataset for Sentiment Analysis


BanFakeNews: A Dataset for Detecting Fake News in Bangla


BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla Lemmatizer


BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla


Banach-Tarski Embeddings and Transformers


Banana for scale: Gauging trends in academic interest by normalising publication rates to common and innocuous keywords


Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation


Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing


Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments


Bandit-Based Monte Carlo Optimization for Nearest Neighbors


Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers


BanditPAM: Almost Linear Time $k$-Medoids Clustering via Multi-Armed Bandits


BanditSum: Extractive Summarization as a Contextual Bandit


Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees


Bandits with Abstention under Expert Advice


Bandits with Preference Feedback: A Stackelberg Game Perspective


Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control


Bandwidth and Wavefront Reduction for Static Variable Ordering in Symbolic Model Checking


Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory


Bangla Handwritten Digit Recognition and Generation


Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network


BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification


BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering


BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset


BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews


BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization


BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio Dataset


BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla


BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts


BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset


BanglaWriting: A multi-purpose offline Bangla handwriting dataset


Bangladeshi Native Vehicle Detection in Wild


BankNote-Net: Open dataset for assistive universal currency recognition


Bankrupt Covert Channel: Turning Network Predictability into Vulnerability


Bankruptcy probabilities under non-Poisson inspection


Banzhaf Values for Facts in Query Answering


Bar-driven dispersal of Galactic substructure


Barcode Method for Generative Model Evaluation driven by Topological Data Analysis


BarcodeMamba: State Space Models for Biodiversity Analysis


Barcodes as Summary of Loss Function Topology


Barcodes of Towers and a Streaming Algorithm for Persistent Homology


BargainNet: Background-Guided Domain Translation for Image Harmonization


Barking up the right tree: an approach to search over molecule synthesis DAGs


Barlow constrained optimization for Visual Question Answering


Barren plateaus are amplified by the dimension of qudits


Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning


Barrier Frank-Wolfe for Marginal Inference


Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control


Barrier height prediction by machine learning correction of semiempirical calculations


Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial Communities


Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines


Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data


BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration


Barycentric rational function approximation made simple: A fast analytic continuation method for Matsubara Green's functions


Barycentric-alignment and reconstruction loss minimization for domain generalization


Baryogenesis through Asymmetric Hawking Radiation from Primordial Black Holes as Dark Matter


Baryon Pasting Algorithm: Halo-based and Particle-based Pasting Methods


Baryon acoustic oscillations in thin redshift shells from BOSS DR12 and eBOSS DR16 galaxies


Baryonic Imprints on DM Halos: Population Statistics from Dwarf Galaxies to Galaxy Clusters


Baryonic Post-Processing of N-body Simulations, with Application to Fast Radio Bursts


Baryonic effects on CMB lensing and neutrino mass constraints


BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network


BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages


Base Fee Manipulation In Ethereum's EIP-1559 Transaction Fee Mechanism


Base Models for Parabolic Partial Differential Equations


Base64 encoding and decoding at almost the speed of a memory copy


BaseSAFE: Baseband SAnitized Fuzzing through Emulation


BaseTransformers: Attention over base data-points for One Shot Learning


Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering


Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms


Baseline Results for Selected Nonlinear System Identification Benchmarks


Baseline wander removal methods for ECG signals: A comparative study


Baselines and Protocols for Household Speaker Recognition


Baselines and test data for cross-lingual inference


Bases for optimising stabiliser decompositions of quantum states


BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT


Basic Analysis of Bin-Packing Heuristics


Basic Binary Convolution Unit for Binarized Image Restoration Network


Basic concepts and tools for the Toki Pona minimal and constructed language: description of the language and main issues; analysis of the vocabulary; text synthesis and syntax highlighting; Wordnet synsets


Basic model for ranking microfinance institutions


BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection


Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression


Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience


Basis set generation and optimization in the NISQ era with Quiqbox.jl


Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition


Basis-to-Basis Operator Learning Using Function Encoders


BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis


BasisGen: automatic generation of operator bases


BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders


Basket Options with Volatility Skew: Calibrating a Local Volatility Model by Sample Rearrangement


Basket Recommendation with Multi-Intent Translation Graph Neural Network


Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation


BasketballGAN: Generating Basketball Play Simulation Through Sketching


BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions


BatMan: Mitigating Batch Effects via Stratification for Survival Outcome Prediction


BatMobility: Towards Flying Without Seeing for Autonomous Drones


BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling


BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization


Batch Active Learning Using Determinantal Point Processes


Batch Active Preference-Based Learning of Reward Functions


Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning


Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel


Batch Bayesian Optimization via Particle Gradient Flows


Batch Bayesian optimisation via density-ratio estimation with guarantees


Batch Layer Normalization, A new normalization layer for CNNs and RNN


Batch Model Consolidation: A Multi-Task Model Consolidation Framework


Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective


Batch Normalization Orthogonalizes Representations in Deep Random Networks


Batch Normalization with Enhanced Linear Transformation


Batch Sample-wise Stochastic Optimal Control via Stochastic Maximum Principle


Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations


Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models


Batch effect correction with sample remeasurement in highly confounded case-control studies


Batch size-invariance for policy optimization


Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning


Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem


Batch-Instructed Gradient for Prompt Evolution:Systematic Prompt Optimization for Enhanced Text-to-Image Synthesis


Batch-based Activity Recognition from Egocentric Photo-Streams Revisited


Batch-efficient EigenDecomposition for Small and Medium Matrices


Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection


Batch-level Experience Replay with Review for Continual Learning


BatchEval: Towards Human-like Text Evaluation


BatchGFN: Generative Flow Networks for Batch Active Learning


BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory


BatchNorm-based Weakly Supervised Video Anomaly Detection


BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs


Batched Bayesian optimization by maximizing the probability of including the optimum


Batched Energy-Entropy acquisition for Bayesian Optimization


Batched High-dimensional Bayesian Optimization via Structural Kernel Learning


Batched Ranged Random Integer Generation


Batched computation of the singular value decompositions of order two by the AVX-512 vectorization


Batching and Matching for Food Delivery in Dynamic Road Networks


Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection


Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements


Batebit Controller: Popularizing Digital Musical Instruments Development Process


Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers


Bathymetry imposes a global pattern of cross-front transport in the Southern Ocean


Bathymetry reconstruction from experimental data using PDE-constrained optimisation


BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation


BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings


BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction


BatteryML:An Open-source platform for Machine Learning on Battery Degradation


Battle Ground: Data Collection and Labeling of CTF Games to Understand Human Cyber Operators


Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks


BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis


Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop


Battling Hateful Content in Indic Languages HASOC '21