Adversarial Inference for Multi-Sentence Video Description


Adversarial Knowledge Transfer from Unlabeled Data


Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables


Adversarial Margin Maximization Networks


Adversarial NLI: A New Benchmark for Natural Language Understanding


Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment


Adversarial Occlusion-aware Face Detection


Adversarial Permutation Guided Node Representations for Link Prediction


Adversarial Perturbations Against Real-Time Video Classification Systems


Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space


Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment


Adversarial Sets for Regularising Neural Link Predictors


Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video


Adversarial Spatio-Temporal Learning for Video Deblurring


Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation


Adversarial Suffix Filtering: a Defense Pipeline for LLMs


Adversarial T-shirt! Evading Person Detectors in A Physical World


Adversarial Text Generation via Feature-Mover's Distance


Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks


Adversarial Video Generation on Complex Datasets


Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction


Adversarial attacks hidden in plain sight


Adversarial robustness via robust low rank representations


Adversarially Robust Generalization Just Requires More Unlabeled Data


Adversarially learned iterative reconstruction for imaging inverse problems


Advice Complexity of Priority Algorithms


Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation


Aequitas: A Bias and Fairness Audit Toolkit


Aerial Image Object Detection With Vision Transformer Detector (ViTDet)


Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching


Aesthetic Image Captioning From Weakly-Labelled Photographs


Aesthetic-Driven Image Enhancement by Adversarial Learning


AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild


Affective Conditioning on Hierarchical Networks applied to Depression Detection from Transcribed Clinical Interviews


Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model


AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing


Affine logic for constructive mathematics


Affordable AI Assistants with Knowledge Graph of Thoughts


Affordable Modular Autonomous Vehicle Development Platform


Affordable Uplift: Supervised Randomization in Controlled Experiments


Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation


Age-structured impact of social distancing on the COVID-19 epidemic in India


Agent Laboratory: Using LLM Agents as Research Assistants


Agent Madoff: A Heuristic-Based Negotiation Agent For The Diplomacy Strategy Game


Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents


Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus


Agent-Based Model Calibration using Machine Learning Surrogates


Agent-based (BDI) modeling for automation of penetration testing


Agent-based Model for Spot and Balancing Electricity Markets


AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society


AgentStudio: A Toolkit for Building General Virtual Agents


Agents Thinking Fast and Slow: A Talker-Reasoner Architecture


Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems


Aggregating From Multiple Target-Shifted Sources


Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning


Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data


AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming


Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction


Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition


Air Quality Control through Bike Sharing Fleets


Air Traffic Management for Collaborative Routing of Unmanned Aerial Vehicles via Potential Fields


AirHopper: Bridging the Air-Gap between Isolated Networks and Mobile Phones using Radio Frequencies


AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction


Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework for Self-supervised Trajectory Representation


AixBench: A Code Generation Benchmark Dataset


Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods


Aleatoric and Epistemic Uncertainty with Random Forests


AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model


Algebraic Variety Models for High-Rank Matrix Completion


Algebraic degree of optimization over a variety with an application to $p$-norm distance degree


Algebraically periodic translation surfaces


Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations


Algorithm for the evaluation of reduced Wigner matrices


Algorithm to suppress scanner noise in recorded speech during functional magnetic resonance imaging


Algorithmic Boundedness-From-Below Conditions for Generic Scalar Potentials


Algorithmic Factors Influencing Bias in Machine Learning


Algorithmic insights on continual learning from fruit flies


Algorithmic recourse under imperfect causal knowledge: a probabilistic approach


Algorithms for Causal Reasoning in Probability Trees


Algorithms for Non-Linear and Stochastic Resource Constrained Shortest Paths


Algorithms for local optimization of OPLS energy for large protein structures


Algorithms for new types of fair stable matchings


Algorithms for the Multiplication Table Problem


Align before Fuse: Vision and Language Representation Learning with Momentum Distillation


Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models


AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects


AlignNet: A Unifying Approach to Audio-Visual Alignment


AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment


Aligning Faithful Interpretations with their Social Attribution


Aligning Latent and Image Spaces to Connect the Unconnectable


Aligning where to see and what to tell: image caption with region-based attention and scene factorization


All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks


All Optical Control of Beam Dynamics in a DLA


All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines


All-electron full-potential implementation of real-time TDDFT in exciting


All-to-key Attention for Arbitrary Style Transfer


AllenAct: A Framework for Embodied AI Research


Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems


AlloyASG: Alloy Predicate Code Representation as a Compact Structurally Balanced Graph


Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference


AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment


AlphaGAN: Generative adversarial networks for natural image matting


AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning


Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization


Alternating cyclic extrapolation methods for optimization algorithms


Alternating optimization for GxE modelling with weighted genetic and environmental scores: examples from the MAVAN study


Altmetrics in the wild: Using social media to explore scholarly impact


Always Valid Inference: Bringing Sequential Analysis to A/B Testing


Ambient Sound Provides Supervision for Visual Learning


AmbigQA: Answering Ambiguous Open-domain Questions


Amorphous silica modeled with truncated and screened Coulomb interactions: A molecular dynamics simulation study


Amortized Population Gibbs Samplers with Neural Sufficient Statistics


Amortized Probabilistic Conditioning for Optimization, Simulation and Inference


Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning


Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution


Amplitude estimation without phase estimation


An ADMM-Based Interior-Point Method for Large-Scale Linear Programming


An Abstraction-Based Framework for Neural Network Verification


An Active Approach for Model Interpretation


An Adaptive Empirical Bayesian Method for Sparse Deep Learning


An Adaptive Fuzzy-Based System to Simulate, Quantify and Compensate Color Blindness


An Adaptive Genetic Algorithm for Solving N-Queens Problem


An Adaptive Learning Approach to Multivariate Time Forecasting in Industrial Processes


An Adaptive Nested Source Term Iteration for Radiative Transfer Equations


An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML


An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss


An Affine-Invariant Sampler for Exoplanet Fitting and Discovery in Radial Velocity Data


An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations


An Algorithm for Graph-Fused Lasso Based on Graph Decomposition


An Algorithm for Optimal Partitioning of Data on an Interval


An Aligned Rank Transform Procedure for Multifactor Contrast Test


An Alternative Softmax Operator for Reinforcement Learning


An Analysis of Dataset Overlap on Winograd-Style Tasks


An Analysis of Simple Data Augmentation for Named Entity Recognition


An Analysis of the Skype Peer-to-Peer Internet Telephony Protocol


An Angle Dependent SSC Model for Relativistic Jet Sources


An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection


An Approach to Ensure Fairness in News Articles


An Artificial Agent for Robust Image Registration


An Attention-based Collaboration Framework for Multi-View Network Representation Learning


An Auto-Context Deformable Registration Network for Infant Brain MRI


An Automated Implementation of On-Shell Methods for One-Loop Amplitudes


An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach


An Automatic Speedup Theorem for Distributed Problems


An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations


An EM Approach to Non-autoregressive Conditional Sequence Generation


An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network


An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes


An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval


An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction


An Efficient Deep Reinforcement Learning Model for Urban Traffic Control


An Electronic Textile Embedded Smart Cementitious Composite


An Embarrassingly Simple Approach for LLM with Strong ASR Capacity


An Embarrassingly Simple Model for Dialogue Relation Extraction


An Embedding Learning Framework for Numerical Features in CTR Prediction


An Empirical Assessment of Endpoint Security Systems Against Advanced Persistent Threats Attack Vectors


An Empirical Study of Fault Localization in Python Programs


An Empirical Study of Language CNN for Image Captioning


An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation


An End-to-End Transformer Model for 3D Object Detection


An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications


An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification


An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification


An Epidemiological Modelling Approach for Covid19 via Data Assimilation


An Error Analysis Toolkit for Binned Counting Experiments


An Evaluation of Action Recognition Models on EPIC-Kitchens


An Event-Driven Approach to Serverless Seismic Imaging in the Cloud


An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls


An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors


An Extended Empirical Saddlepoint Approximation for Intractable Likelihoods


An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm


An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance


An Extensive Analytical Approach on Human Resources using Random Forest Algorithm


An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN


An Immersed Boundary Method with Divergence-Free Velocity Interpolation and Force Spreading


An Implementation of Faster RCNN with Study for Region Sampling


An Improved Analysis of Stochastic Gradient Descent with Momentum


An Improved Attention for Visual Question Answering


An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing


An Information-Geometric Distance on the Space of Tasks


An Integer Linear Programming Solution to the Telescope Network Scheduling Problem


An Interpretable Intensive Care Unit Mortality Risk Calculator


An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery


An Intersectional Definition of Fairness


An Introduction to Convolutional Neural Networks


An Introduction to Deep Learning for the Physical Layer


An Introduction to Matrix Concentration Inequalities


An Introduction to Monte Carlo Simulation of Statistical physics Problem


An Introduction to Multiparameter Persistence


An Investigation into Neural Net Optimization via Hessian Eigenvalue Density


An Iterative Method for Nonconvex Quadratically Constrained Quadratic Programs


An MILP Approach for Real-time Optimal Controller Synthesis with Metric Temporal Logic Specifications


An O(m) Algorithm for Cores Decomposition of Networks


An OFDM Signal Identification Method for Wireless Communications Systems


An Online Interactive Geometric Database: Including Exact Solutions of Einstein's Field Equations


An Online Learning Approach to Generative Adversarial Networks


An Online Plug-and-Play Algorithm for Regularized Image Reconstruction


An Online Riemannian PCA for Stochastic Canonical Correlation Analysis


An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems


An Open Platform to Teach How the Internet Practically Works


An Open-Source LoRa Physical Layer Prototype on GNU Radio


An Open-Source Project for MapReduce Performance Self-Tuning


An Optimal Algorithm for Strict Circular Seriation


An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks


An Order-based Algorithm for Minimum Dominating Set with Application in Graph Mining


An Overview of Multi-Task Learning in Deep Neural Networks


An SMT-Based Concolic Testing Tool for Logic Programs


An Uncertainty-Quantification Framework for Assessing Accuracy, Sensitivity, and Robustness in Computational Fluid Dynamics


An Underwater Image Enhancement Benchmark Dataset and Beyond


An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation


An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages


An a posteriori error analysis for the equations of stationary incompressible magnetohydrodynamics


An accurate analytical fit to the gravitational-wave inspiral duration for eccentric binaries


An accurate and efficient algorithm for detection of radio bursts with an unknown dispersion measure, for single dish telescopes and interferometers


An accurate retrieval through R-MAC+ descriptors for landmark recognition


An adaptive and energy-maximizing control of wave energy converters using extremum-seeking approach


An adaptive architecture for portability of greenhouse models


An adaptive nearest neighbor rule for classification


An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents


An algorithm for optimal transport between a simplex soup and a point cloud


An alternative approach to hyperbolic structures on link complements


An analysis of Bitcoin OP_RETURN metadata


An analytical diabolo model for robotic learning and control


An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem


An approximate dynamic programming approach to the admission control of elective patients


An automated approach for developing neural network interatomic potentials with FLAME


An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement


An efficient algorithm for accelerating the convergence of oscillatory series, useful for computing the polylogarithm and Hurwitz zeta functions


An efficient and principled method for detecting communities in networks


An efficient and robust monolithic approach to phase-field quasi-static brittle fracture using a modified Newton method


An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios


An efficient iterative thresholding method for image segmentation


An efficient manifold density estimator for all recommendation systems


An efficient model reduction method for solving viscous G-equations in incompressible cellular flows


An efficient multi-scale Green's Functions Reaction Dynamics scheme


An efficient solver for large structured eigenvalue problems in relativistic quantum chemistry


An elementary heuristic for Hardy-Littlewood extended Goldbach's conjecture


An embedded segmental K-means model for unsupervised segmentation and clustering of speech


An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction


An end-to-end attention-based approach for learning on graphs


An energy-based generative sequence model for testing sensory theories of Western harmony


An epidemiological compartmental model with automated parameter estimation and forecasting of the spread of COVID-19 with analysis of data from Germany and Brazil


An epidemiological model for the spread of COVID-19: A South African case study


An exact algorithm for the static pricing problem under discrete mixed logit demand


An exact general remeshing scheme applied to physically conservative voxelization


An exact solution for choosing the largest measurement from a sample drawn from an uniform distribution


An expansion algorithm for constructing axial algebras


An experimental exploration of Marsaglia's xorshift generators, scrambled


An experimental scheme for determining the Berry phase in two-dimensional quantum materials with a flat band


An explicit staggered-grid method for numerical simulation of large-scale natural gas pipeline networks


An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition


An improved method for recursively computing upper bounds for two-colour Ramsey numbers


An improved model of Charge Transfer Inefficiency and correction algorithm for the Hubble Space Telescope


An information model for modular robots: the Hardware Robot Information Model (HRIM)


An information-theoretic account of semantic interference in word production


An intelligent financial portfolio trading strategy using deep Q-learning


An introductory guide to aligning networks using SANA, the Simulated Annealing Network Aligner


An inventory of three-dimensional Hilbert space-filling curves


An investigation of IBM Quantum Computing device performance on Combinatorial Optimisation Problems


An open-access clicker question bank for numerical analysis


An optimized conflict-free replicated set


An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos


An unexpectedly low-redshift excess of Swift gamma-ray burst rate


An updated visual orbit of the directly-imaged exoplanet 51 Eridani b and prospects for a dynamical mass measurement with Gaia


An utopic adventure in the modelling of conditional univariate and multivariate extremes


Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform


Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model


Analysis and Comparison of Classification Metrics


Analysis and Optimization of Convolutional Neural Network Architectures


Analysis of Bitcoin Pooled Mining Reward Systems


Analysis of Hand Segmentation in the Wild


Analysis of Networks via the Sparse $β$-Model


Analysis of ResearchGate, A Community Detection Approach


Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma


Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks


Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements


Analysis on DeepLabV3+ Performance for Automatic Steel Defects Detection


Analytic and numerical demonstration of quantum self-correction in the 3D Cubic Code


Analytic slowing-down distributions as modified by turbulent transport


Analytic solutions for neutrino momenta in decay of top quarks


Analytical implementation of Roe solver for two-layer shallow water equations with accurate treatment for loss of hyperbolicity


Analytical modelling of period spacings across the HR diagram


Analytical phase optical transfer function for Gaussian illumination and the optimized profiles


Analytical solution of ttbar dilepton equations


Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices


Analyzing Peer Selection Policies for BitTorrent Multimedia On-Demand Streaming Systems in Internet


Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing


Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers


Analyzing and biasing simulations with PLUMED


Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications to ion channels


Analyzing the Design Space of Re-opening Policies and COVID-19 Outcomes in the US


AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy


Anchor Loss: Modulating Loss Scale based on Prediction Difficulty


Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage


Anchor-based Plain Net for Mobile Image Super-Resolution


Anderson Acceleration of Proximal Gradient Methods


Andreev-reflection and Aharonov-Bohm dynamics in atomtronic circuits


Angle-based Search Space Shrinking for Neural Architecture Search


Angular velocity of gravitational radiation from precessing binaries and the corotating frame


AniCode: Authoring Coded Artifacts for Network-Free Personalized Animations


Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation


AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning


Anisotropic field-of-views in radial imaging


Anisotropic osmosis filtering for shadow removal in images


Annotary: A Concolic Execution System for Developing Secure Smart Contracts


Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging


Annotation graphs as a framework for multidimensional linguistic data analysis


AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder


Anomalous sound detection based on interpolation deep neural network


Anomaly Detection in Dynamic Graphs via Transformer


Anomaly Detection in High Dimensional Data


Anomaly Detection in Video Sequence with Appearance-Motion Correspondence


Anomaly Detection in Video via Self-Supervised and Multi-Task Learning


Anomaly Detection in the Open Supernova Catalog


Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning


Anomaly Detection using One-Class Neural Networks


Anomaly Detection with Density Estimation


Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy


Anomaly localization by modeling perceptual features


AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection


Anonymous and confidential file sharing over untrusted clouds


Another phase transition in the Axelrod model


Answering some questions about structured illumination microscopy


Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement


AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks


Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images


Any-Angle Pathfinding for Multiple Agents Based on SIPP Algorithm


Any-resolution Training for High-resolution Image Synthesis


AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling


Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations


AoI in Context-Aware Hybrid Radio-Optical IoT Networks


Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems


Aplib: Tactical Programming of Intelligent Agents


Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization


Appearance-Based Gaze Estimation in the Wild


Appliance-Level Monitoring with Micro-Moment Smart Plugs


Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation


Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories


Applications of Blockchain Technology beyond Cryptocurrency


Applying Bag of System Calls for Anomalous Behavior Detection of Applications in Linux Containers


Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves


Applying Deep Learning to Fast Radio Burst Classification


Applying Machine Learning To Maize Traits Prediction


Applying Phonological Features in Multilingual Text-To-Speech


Applying the Delta method in metric analytics: A practical guide with novel ideas


Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki


Approaching Human-Level Forecasting with Language Models


Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep


Approximate False Positive Rate Control in Selection Frequency for Random Forest


Approximate Inference for Fully Bayesian Gaussian Process Regression


Approximate Inference via Weighted Rademacher Complexity


Approximate Manifold Defense Against Multiple Adversarial Perturbations


Approximate Optimal Designs for Multivariate Polynomial Regression


Approximate Probabilistic Inference via Word-Level Counting


Approximate Quantum Compiling for Quantum Simulation: A Tensor Network based approach


Approximate Solutions of Combinatorial Problems via Quantum Relaxations


Approximate bi-criteria search by efficient representation of subsets of the Pareto-optimal frontier


Approximate fast graph Fourier transforms via multi-layer sparse approximations


Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas


Approximating Continuous Functions on Persistence Diagrams Using Template Functions


Approximating How Single Head Attention Learns


Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach


Approximating Surfaces in $R^3$ by Meshes with Guaranteed Regularity


Approximating Tverberg Points in Linear Time for Any Fixed Dimension


Approximating the Permanent by Sampling from Adaptive Partitions


Approximating the spectrum of matrices and hypermatrices


Approximation Algorithms for Steiner Tree Based on Star Contractions: A Unified View


Approximation Based Variance Reduction for Reparameterization Gradients


Approximation and Interpolation of Singular Measures by Trigonometric Polynomials


Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic


AptRank: An Adaptive PageRank Model for Protein Function Prediction on Bi-relational Graphs


AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks


Aquarium: Cassiopea and Alewife Languages


AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies


ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL


ArCode: Facilitating the Use of Application Frameworks to Implement Tactics and Patterns


ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets


AraBERT: Transformer-based Model for Arabic Language Understanding


ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition


Arachne: Search Based Repair of Deep Neural Networks


Arbitrariness Lies Beyond the Fairness-Accuracy Frontier


Arbitrary digital pulse sequence generator with delay-loop timing


Architectural design for a topological cluster state quantum computer


Architecture for a multilingual Wikipedia


Archive Assisted Archival Fixity Verification Framework


Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?


Are Bitcoin Bubbles Predictable? Combining a Generalized Metcalfe's Law and the LPPLS Model


Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable


Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time


Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search


Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?


Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets


Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches


Are scene graphs good enough to improve Image Captioning?


Are we done with object recognition? The iCub robot's perspective


Are you still with me? Continuous Engagement Assessment from a Robot's Point of View


Area Graph: Generation of Topological Maps using the Voronoi Diagram


Aren't we all nearest neighbors: Spatial trees, high dimensional reductions and batch nearest neighbor search


Aria-UI: Visual Grounding for GUI Instructions


Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability


Arithmetic with X-ray images of galaxy clusters: effective equation of state for small-scale perturbations in the ICM


Arrangements of Pseudocircles: On Circularizability


Array Languages Make Neural Networks Fast


Articulation-aware Canonical Surface Mapping


Artificial Intelligence Index Report 2024


Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)


Artificial life properties of directed interaction combinators vs. chemlambda


Artificial neural networks for neuroscientists: A primer


Artistic style transfer for videos and spherical images


Ask No More: Deciding when to guess in referential visual dialogue


Aspect Based Sentiment Analysis with Gated Convolutional Networks


Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture


Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination


Assessing Emoji Use in Modern Text Processing Tools


Assessing and Improving the Mutation Testing Practice of PIT


Assessing saturation physics explanations of collectivity in small collision systems with the IP-Jazma model


Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements


Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest


Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series


Assessing the Significance of Model Selection in Ecology


Assessment of P-value variability in the current replicability crisis


Assisted Perception: Optimizing Observations to Communicate State


Associating Ridesourcing with Road Safety Outcomes: Insights from Austin Texas


Assumption-lean inference for generalised linear model parameters


Aster Swarming by Collective Mechanics of Dyneins and Kinesins


Asteroseismology of 16000 Kepler Red Giants: Global Oscillation Parameters, Masses, and Radii


AstraKahn: A Coordination Language for Streaming Networks


Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications


Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation


Asymmetric Tri-training for Unsupervised Domain Adaptation


Asymmetric Valleys: Beyond Sharp and Flat Local Minima


Asymmetric jet clustering in deep-inelastic scattering


Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice


Asymmetry between Activators and Deactivators in Functional Protein Networks


Asymptotic Theory for Estimating the Singular Vectors and Values of a Partially-observed Low Rank Matrix with Noise


Asymptotic proximal point methods: finding the global minima with linear convergence for a class of multiple minima problems


Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization


Asynchronous Memory Access Unit for General Purpose Processors


Asynchronous Methods for Model-Based Reinforcement Learning


Asynchronous Parallel Bayesian Optimisation via Thompson Sampling


Atlas: End-to-End 3D Scene Reconstruction from Posed Images


Atomic norm denoising with applications to line spectral estimation


Atomistic fracture in bcc iron revealed by active learning of Gaussian approximation potential


AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing


Attack RMSE Leaderboard: An Introduction and Case Study


Attacking Black-box Recommendations via Copying Cross-domain User Profiles


Attend and Decode: 4D fMRI Task State Decoding Using Attention Models


Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition


Attend, Copy, Parse -- End-to-end information extraction from documents


Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection


Attend, Infer, Repeat: Fast Scene Understanding with Generative Models


Attending to Discriminative Certainty for Domain Adaptation


Attention Based Pruning for Shift Networks


Attention Concatenation Volume for Accurate and Efficient Stereo Matching


Attention Distillation: self-supervised vision transformer students need more guidance


Attention Sorting Combats Recency Bias In Long Context Language Models


Attention Tracker: Detecting Prompt Injection Attacks in LLMs


Attention and Anticipation in Fast Visual-Inertial Navigation


Attention-Aware Anime Line Drawing Colorization


Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation


Attention-Gated Networks for Improving Ultrasound Scan Plane Detection


Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition


Attention-based Dropout Layer for Weakly Supervised Object Localization


Attention-based Graph Neural Network for Semi-supervised Learning


Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors


Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data


Attention-based Neural Bag-of-Features Learning for Sequence Data


Attention-based Stylisation for Exemplar Image Colourisation


Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario


Attention-guided Network for Ghost-free High Dynamic Range Imaging


Attentional Pooling for Action Recognition


Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network


Attentive Normalization for Conditional Image Generation


Attentive Single-Tasking of Multiple Tasks


Attentive Social Recommendation: Towards User And Item Diversities


AttnMove: History Enhanced Trajectory Recovery via Attentional Network


Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation


AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning


Attribute Restoration Framework for Anomaly Detection


Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval


Attribute-aware Pedestrian Detection in a Crowd


Attribute2Image: Conditional Image Generation from Visual Attributes


Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition


Attribution Preservation in Network Compression for Reliable Network Interpretation


Audio Large Language Models Can Be Descriptive Speech Quality Evaluators


Audio inpainting of music by means of neural networks


Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models


Audio-Visual Event Localization in Unconstrained Videos


Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies


Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion


AudioLCM: Text-to-Audio Generation with Latent Consistency Models


AudioSR: Versatile Audio Super-resolution at Scale


Auditing Data Provenance in Text-Generation Models


Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models


Augmenting Data with Mixup for Sentence Classification: An Empirical Study


Augmenting Decompiler Output with Learned Variable Names and Types


Augmenting GAIL with BC for sample efficient imitation learning


Augmenting Input Method Language Model with user Location Type Information


Augmenting Neural Machine Translation with Knowledge Graphs


Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health


Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach


Augmenting correlation structures in spatial data using deep generative models


Aurora: Providing Trusted System Services for Enclaves On an Untrusted System


Authentication and Key Management Automation in Decentralized Secure Email and Messaging via Low-Entropy Secrets


Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition


Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation


Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis


Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection


Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples


Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification


Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing


Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms


AutoAssist: A Framework to Accelerate Training of Deep Neural Networks


AutoBCS: Block-based Image Compressive Sensing with Data-driven Acquisition and Non-iterative Reconstruction


AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion


AutoDev: Automated AI-Driven Development


AutoDispNet: Improving Disparity Estimation With AutoML


AutoDroid: LLM-powered Task Automation in Android


AutoFlow: Learning a Better Training Set for Optical Flow


AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks


AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation


AutoHint: Automatic Prompt Optimization with Hint Generation


AutoLoss: Learning Discrete Schedules for Alternate Optimization


AutoML using Metadata Language Embeddings


AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture


AutoSpace: Neural Architecture Search with Less Human Interference


AutoTask: Executing Arbitrary Voice Commands by Exploring and Learning from Mobile GUI


AutoToon: Automatic Geometric Warping for Face Cartoon Generation


AutoVFX: Physically Realistic Video Editing from Natural Language Instructions


AutoVerus: Automated Proof Generation for Rust Code


Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning


Autoclassification of the Variable 3XMM Sources Using the Random Forest Machine Learning Algorithm


Autoencoder Node Saliency: Selecting Relevant Latent Representations


Autoencoder Regularized Network For Driving Style Representation Learning


Automated Alignment of Imperfect EM Images for Neural Reconstruction


Automated Analysis and Prediction of Job Interview Performance


Automated Classification of Histopathology Images Using Transfer Learning


Automated Coronal Hole Identification via Multi-Thermal Intensity Segmentation


Automated Curriculum Learning by Rewarding Temporally Rare Events


Automated Deep Abstractions for Stochastic Chemical Reaction Networks


Automated Design using Neural Networks and Gradient Descent


Automated Dominative Subspace Mining for Efficient Neural Architecture Search


Automated Essay Scoring based on Two-Stage Learning


Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks


Automated Image Data Preprocessing with Deep Reinforcement Learning


Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep Learning


Automated Optical Multi-layer Design via Deep Reinforcement Learning


Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks


Automated Quality Assessment of Hand Washing Using Deep Learning


Automated Repair of Programs from Large Language Models


Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model


Automated Synthesis of Secure Platform Mappings


Automated Transient Identification in the Dark Energy Survey


Automated Unit Test Improvement using Large Language Models at Meta


Automated detection of gravitational arcs


Automated fragment identification for electron ionisation mass spectrometry: application to atmospheric measurements of halocarbons


Automated quantum programming via reinforcement learning for combinatorial optimization


Automated translating beam profiler for in-situ laser beam spot-size and focal position measurements


Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language


Automatic Argumentative-Zoning Using Word2vec


Automatic Assessment of Artistic Quality of Photos


Automatic BLAS Offloading on Unified Memory Architecture: A Study on NVIDIA Grace-Hopper


Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks


Automatic Building Extraction in Aerial Scenes Using Convolutional Networks


Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features


Automatic Configuration of Deep Neural Networks with EGO


Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain


Automatic Differentiable Numerical Renormalization Group


Automatic Differentiation Variational Inference


Automatic Discovery and Geotagging of Objects from Street View Imagery


Automatic Discovery of Privacy-Utility Pareto Fronts


Automatic Estimation of Modulation Transfer Functions


Automatic Extraction and Sign Determination of Respiratory Signal in Real-time Cardiac Magnetic Resonance imaging


Automatic Generation of Optimal Reductions of Distributions


Automatic Heap Layout Manipulation for Exploitation


Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection


Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique


Automatic Image Transformation for Inducing Affect


Automatic Induction of Neural Network Decision Tree Algorithms


Automatic Instruction Evolving for Large Language Models


Automatic Labeled LiDAR Data Generation based on Precise Human Model


Automatic Labelling of Topics with Neural Embeddings


Automatic Language Identification in Texts: A Survey


Automatic Linear Resource Bound Analysis for Rust via Prophecy Potentials


Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study


Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields


Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach


Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network


Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?


Automatic Seismic Salt Interpretation with Deep Convolutional Neural Networks


Automatic Semantic Style Transfer using Deep Convolutional Neural Networks and Soft Masks


Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks


Automatic Synonym Discovery with Knowledge Bases


Automatic Yara Rule Generation Using Biclustering


Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent


Automatic assembly of aero engine low pressure turbine shaft based on 3D vision measurement


Automatic code generation from sketches of mobile applications in end-user development using Deep Learning


Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors


Automatic music mixing with deep learning and out-of-domain data


Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse


Automatic skin lesion segmentation with fully convolutional-deconvolutional networks


Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation


Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering


Automatic tuning of Free Electron Lasers


Automatic vocal tract landmark localization from midsagittal MRI data


Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation


Automatically Annotating Indoor Images with CAD Models via RGB-D Scans


Automatically Eliminating Speculative Leaks from Cryptographic Code with Blade


Automatically Proving Mathematical Theorems with Evolutionary Algorithms and Proof Assistants


Automating Cluster Management with Weave


Automating Ellerman bomb detection in ultraviolet continua


Automation and occupational mobility: A data-driven network model


Automatized One-Loop Calculations in 4 and D dimensions


Automotive Radar Data Acquisition using Object Detection


Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments


Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots


Autonomous WiFi Fingerprinting for Indoor Localization


Autonomous data-driven design of inorganic materials with AFLOW


Autonomous robotic nanofabrication with reinforcement learning


Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors


Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction


Autoregressive Diffusion Model for Graph Generation


Autoregressive Quantile Networks for Generative Modeling


Autoregressive Unsupervised Image Segmentation


Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives


Autotuning GPU Kernels via Static and Predictive Analysis


Avalanche: an End-to-End Library for Continual Learning


Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds


Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al


Avoiding Spurious Local Minima in Deep Quadratic Networks


Axial-LOB: High-Frequency Trading with Axial Attention


AxioNyx: Simulating Mixed Fuzzy and Cold Dark Matter


Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries


B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks


B2RL: An open-source Dataset for Building Batch Reinforcement Learning


BAFFLE : Blockchain Based Aggregator Free Federated Learning


BAFFLES: Bayesian Ages for Field Lower-Mass Stars


BAMBI: blind accelerated multimodal Bayesian inference


BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining


BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations


BARK: Open Behavior Benchmarking in Multi-Agent Environments


BARS-CTR: Open Benchmarking for Click-Through Rate Prediction


BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents


BCL: A Cross-Platform Distributed Container Library


BCN20000: Dermoscopic Lesions in the Wild


BERT Rediscovers the Classical NLP Pipeline


BERT for Evidence Retrieval and Claim Verification


BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction


BERTSel: Answer Selection with Pre-trained Models


BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding


BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion


BFpack: Flexible Bayes Factor Testing of Scientific Theories in R


BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation


BIOMRC: A Dataset for Biomedical Machine Reading Comprehension


BITS: Bi-level Imitation for Traffic Simulation


BLT: Bidirectional Layout Transformer for Controllable Layout Generation


BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment


BOAT: Bilateral Local Attention Vision Transformer


BOBBY2: Buffer Based Robust High-Speed Object Tracking


BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach


BORE: Bayesian Optimization by Density-Ratio Estimation


BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram


BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering


BPF for storage: an exokernel-inspired approach


BRAINTEASER: Lateral Thinking Puzzles for Large Language Models


BRAVO -- Biased Locking for Reader-Writer Locks


BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module


BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient


BRepNet: A topological message passing system for solid models


BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues


BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation


BSP-Net: Generating Compact Meshes via Binary Space Partitioning


BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models


BUFF: Boosted Decision Tree based Ultra-Fast Flow matching


BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation


BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers


Back to (Mass-)Square(d) One: The Neutrino Mass Ordering in Light of Recent Data


Back to the Future -- Sequential Alignment of Text Representations


Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems


Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection


Backdoors in Neural Models of Source Code


Background Image Generation Using Boolean Operations


Background Modelling in Very-High-Energy gamma-ray Astronomy


Background subtraction methods for precision measurements of di-hadron and jet-hadron correlations in heavy ion collisions


Background-aware Classification Activation Map for Weakly Supervised Object Localization


Backprop KF: Learning Discriminative Deterministic State Estimators


Backprop with Approximate Activations for Memory-efficient Network Training


Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs


Backward Monte-Carlo applied to muon transport


Bad metallic transport in a cold atom Fermi-Hubbard system


BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning


BadDet: Backdoor Attacks on Object Detection


Bag of Freebies for Training Object Detection Neural Networks


Bag of Tricks for Retail Product Image Classification


Baichuan 2: Open Large-scale Language Models


Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating Algorithm


BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis


Balance Transfers and Bailouts in Credit Networks using Blockchains


Balance of thrones: a network study on Game of Thrones


Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations


Balanced Graph Structure Learning for Multivariate Time Series Forecasting


Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments


Balancing Wildfire Risk and Power Outages through Optimized Power Shut-Offs


Ball: An R package for detecting distribution difference and association in metric spaces


Band gap prediction for large organic crystal structures with machine learning


Band structure diagram paths based on crystallography


Bandit algorithms: Letting go of logarithmic regret for statistical robustness


Bandwidth Embeddings for Mixed-bandwidth Speech Recognition


Bangla Grammatical Error Detection Using T5 Transformer Model


Bangla Text Classification using Transformers


Banks of templates for all-sky narrow-band searches of gravitational waves from spinning neutron stars


Barbershop: GAN-based Image Compositing using Segmentation Masks


Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation


Barcodes and area-preserving homeomorphisms


Barren plateaus in quantum neural network training landscapes


Barrier Simulations and Experimental Calculations Using Cell Merging Method


Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing


Barycentric Corrections at 1 cm/s for precise Doppler velocities


Baryonic Features in the Matter Transfer Function


BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation


Basic and simple mathematical model of coupled transcription, translation and degradation


Basis Expansions for Functional Snippets


Batch Bayesian Optimization via Local Penalization


Batch Decorrelation for Active Metric Learning


Batch Exploration with Examples for Scalable Robotic Reinforcement Learning


Batch Selection for Parallelisation of Bayesian Quadrature


Batch Self Organizing maps for distributional data using adaptive distances


Batch Stationary Distribution Estimation


Batch-normalized Maxout Network in Network


Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks


Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization


BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits


Bayesian Active Learning for Classification and Preference Learning


Bayesian Active Search on Parameter Space: a 95 GeV Spin-0 Resonance in the ($B-L$)SSM


Bayesian Algorithms for Decentralized Stochastic Bandits


Bayesian Approach for Parameter Estimation of Continuous-Time Stochastic Volatility Models using Fourier Transform Methods


Bayesian Bits: Unifying Quantization and Pruning


Bayesian Combinatorial Multi-Study Factor Analysis


Bayesian Conditional Transformation Models


Bayesian Diffusion Models for 3D Shape Reconstruction


Bayesian Estimation of Bipartite Matchings for Record Linkage


Bayesian Estimation of the D(p,$γ$)$^3$He Thermonuclear Reaction Rate


Bayesian Graph Neural Networks with Adaptive Connection Sampling


Bayesian Group Selection in Logistic Regression with Application to MRI Data Analysis


Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures


Bayesian Image Super-Resolution with Deep Modeling of Image Statistics


Bayesian Learning of Neural Network Architectures


Bayesian Modeling of Microbiome Data for Differential Abundance Analysis


Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox


Bayesian Multivariate Spatial Models for Lattice Data with INLA


Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study


Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces


Bayesian Nonparametric Inference of Switching Linear Dynamical Systems


Bayesian Optical Flow with Uncertainty Quantification


Bayesian Optimization for Parameter Tuning of the XOR Neural Network


Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020


Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search


Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics


Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations


Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods


Bayesian Predictive Synthesis with Outcome-Dependent Pools


Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control


Bayesian Reconstruction of Fourier Pairs


Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior


Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding


Bayesian Semiparametric Modeling of Response Mechanism for Nonignorable Missing Data


Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion


Bayesian Stress Testing of Models in a Classification Hierarchy


Bayesian Structured Prediction Using Gaussian Processes


Bayesian Temporal Factorization for Multidimensional Time Series Prediction


Bayesian Tensorized Neural Networks with Automatic Rank Selection


Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?


Bayesian coherent analysis of in-spiral gravitational wave signals with a detector network


Bayesian experimental design using regularized determinantal point processes


Bayesian graph convolutional neural networks for semi-supervised classification


Bayesian group latent factor analysis with structured sparsity


Bayesian inference for logistic models using Polya-Gamma latent variables


Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo


Bayesian item response models for citizen science ecological data


Bayesian model averaging for mortality forecasting using leave-future-out validation


Bayesian nonstationary and nonparametric covariance estimation for large spatial data


Bayesian optimization for materials design


Bayesian spike inference from calcium imaging data


Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy


Bayesian variable selection in linear dynamical systems


Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation


Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation


Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes


Beaming Binaries - a New Observational Category of Photometric Binary Stars


Beating Atari with Natural Language Guided Reinforcement Learning


Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning


Bees Local Phase Quantization Feature Selection for RGB-D Facial Expressions Recognition


Behavior of the maximum likelihood in quantum state tomography


Behavior-Driven Synthesis of Human Dynamics


Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects


Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web


BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search


Benchmark Computation of Morphological Complexity in the Functionalized Cahn-Hilliard Gradient Flow


Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization


Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters


Benchmark graphs for testing community detection algorithms


Benchmark model to assess community structure in evolving networks


Benchmarking Approximate Inference Methods for Neural Structured Prediction


Benchmarking Automatic Machine Learning Frameworks


Benchmarking Batch Deep Reinforcement Learning Algorithms


Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics


Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction


Benchmarking GABA Quantification: A Ground Truth Data Set and Comparative Analysis of TARQUIN, LCModel, jMRUI and Gannet


Benchmarking Generated Poses: How Rational is Structure-based Drug Design with Generative Models?


Benchmarking Machine Translation with Cultural Awareness


Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks


Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency


Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions


Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift


Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications


Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives


Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications


Benchmarking the Spectrum of Agent Capabilities


Benchmarks and leaderboards for sound demixing tasks


Bengali Fake Reviews: A Benchmark Dataset and Detection System


Bernstein-Bézier weight-adjusted discontinuous Galerkin methods for wave propagation in heterogeneous media


Best Arm Identification with Safety Constraints


Better Algorithms for Individually Fair $k$-Clustering


Better Language Models of Code through Self-Improvement


Better Patch Stitching for Parametric Surface Reconstruction


Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition


Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning


Better Technical Debt Detection via SURVEYing


Better, Faster, Stronger Sequence Tagging Constituent Parsers


Beyond BLEU: Training Neural Machine Translation with Semantic Similarity


Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access


Beyond Greedy Ranking: Slate Optimization via List-CVAE


Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning


Beyond Parity: Fairness Objectives for Collaborative Filtering


Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints


Beyond Short Snippets: Deep Networks for Video Classification


Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances


Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color


Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization


Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation


Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems


Beyond the LUMIR challenge: The pathway to foundational registration models


Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data


Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware


Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis


Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds


Bi-level Actor-Critic for Multi-agent Coordination


BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark


BiM-VFI: directional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions


BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels


BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading


BiRank: Towards Ranking on Bipartite Graphs


BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning


BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation


BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation


Bias and high-dimensional adjustment in observational studies of peer effects


Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting


Bias-Variance Tradeoffs in Joint Spectral Embeddings


Bias-based Universal Adversarial Patch Attack for Automatic Check-out


Bias-free simulation of diffusion-limited aggregation on a square lattice


BiasedWalk: Biased Sampling for Representation Learning on Graphs


Bidirectional Attention Network for Monocular Depth Estimation


Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning


Bidirectional Recurrent Models for Offensive Tweet Classification


Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression


Bidirectional Tree-Structured LSTM with Head Lexicalization


Bidirectionally Self-Normalizing Neural Networks


Big Self-Supervised Models Advance Medical Image Classification


BigDL: A Distributed Deep Learning Framework for Big Data


BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models


BigVGAN: A Universal Neural Vocoder with Large-Scale Training


Biips: Software for Bayesian Inference with Interacting Particle Systems


Bike Flow Prediction with Multi-Graph Convolutional Networks


Bilateral Attention Network for RGB-D Salient Object Detection


Bilateral Grid Learning for Stereo Matching Networks


Bilayer-skyrmion-based design of neuron and synapse for spiking neural network


Bilevel approaches for learning of variational imaging models


Bilinear dynamic mode decomposition for quantum control


Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual Transfer


Binarized Neural Networks on the ImageNet Classification Task


BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection


Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches


BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices


Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement


BioRED: A Rich Biomedical Relation Extraction Dataset


Biological sex classification with structural MRI data shows increased misclassification in transgender women


Biologically-informed neural networks guide mechanistic modeling from sparse experimental data


Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI


Biomedical and Clinical English Model Packages in the Stanza Python NLP Library


Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network


Biometrics Recognition Using Deep Learning: A Survey


Biosignal Analysis with Matching-Pursuit Based Adaptive Chirplet Transform


Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images


Birth of a Transformer: A Memory Viewpoint


BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models


BitMix: Data Augmentation for Image Steganalysis


BitNet: Learning-Based Bit-Depth Expansion


BitNet: Scaling 1-bit Transformers for Large Language Models


Bitcoin Price Prediction: An ARIMA Approach


Bivariate Causal Discovery using Bayesian Model Selection


Bizur: A Key-value Consensus Algorithm for Scalable File-systems


Black Hole Spin Constraints on the Mass Spectrum and Number of Axion-like Fields


Black hole mass estimation for Active Galactic Nuclei from a new angle


Black holes and gravitational waves from slow phase transitions


Black-Box Attacks against RNN based Malware Detection Algorithms


Black-Box Face Recovery from Identity Features


Black-Box Optimization with Local Generative Surrogates


Black-Box Tuning for Language-Model-as-a-Service


Blind Bounded Source Separation Using Neural Networks with Local Learning Rules


Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences


Blind Denoising with Random Greedy Pursuits


Blind Geometric Distortion Correction on Images Through Deep Learning


Blind Ptychography by Douglas-Rachford Splitting


Blind quantum computation for QFT on multi-qubit states


Bloch point-mediated skyrmion annihilation in three dimensions


Block Preconditioners for Mixed-dimensional Discretization of Flow in Fractured Porous Media


Block-NeRF: Scalable Large Scene Neural View Synthesis


Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates


Block-Simultaneous Direction Method of Multipliers: A proximal primal-dual splitting algorithm for nonconvex problems with multiple constraints


BlockCNN: A Deep Network for Artifact Removal and Image Compression


Blockchain Machine: A Network-Attached Hardware Accelerator for Hyperledger Fabric


Blockchain for Future Smart Grid: A Comprehensive Survey


Blockchain-Enabled End-to-End Encryption for Instant Messaging Applications


Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions


Blocking of the CD80/86 axis as a therapeutic approach to prevent progression to more severe forms of COVID-19


Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic


BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation


Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks


BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis


BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments


BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis


Bobtail: A Proof-of-Work Target that Minimizes Blockchain Mining Variance (Draft)


Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms


Body Part-Based Representation Learning for Occluded Person Re-Identification


Body-Hand Modality Expertized Networks with Cross-attention for Fine-grained Skeleton Action Recognition


BodyGen: Advancing Towards Efficient Embodiment Co-Design


Boltzmann Enhancements of Biquasile Counting Invariants


Boltzmann distribution of sediment transport


Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs


BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions


Boolean function metrics can assist modelers to check and choose logical rules


BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation


Boosting Algorithms for Delivery Time Prediction in Transportation Logistics


Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates


Boosting Functional Regression Models with FDboost


Boosting Monte Carlo simulations of spin glasses using autoregressive neural networks


Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features


Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs


Boosting test-efficiency by pooled testing strategies for SARS-CoV-2


Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder


Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization


Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation


Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages


Bootstrapping quantum process tomography via a perturbative ansatz


Bordered Heegaard Floer homology and graph manifolds


Boredom-driven curious learning by Homeo-Heterostatic Value Gradients


Bottom-quark Fusion Processes at the LHC for Probing $Z^{\prime}$ Models and B-meson Decay Anomalies


Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution


Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation


Boundary-Seeking Generative Adversarial Networks


Boundary-sensitive Pre-training for Temporal Localization in Videos


Bounded Future MS-TCN++ for surgical gesture recognition


Bounding Optimality Gap in Stochastic Optimization via Bagging: Statistical Efficiency and Stability


Bounding Treatment Effects by Pooling Limited Information across Observations


Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision


Boundless Socratic Learning with Language Games


Bounds and Constructions for Linear Locally Repairable Codes over Binary Fields


BourGAN: Generative Networks with Metric Embeddings


Box Drawings for Learning with Imbalanced Data


Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds


BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations


BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning


Brain Imaging Generation with Latent Diffusion Models


Brain Modelling as a Service: The Virtual Brain on EBRAINS


Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss


Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction


BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI


Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit


Breaking integrability at the boundary: the sine-Gordon model with Robin boundary conditions


Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping


Breaking the Warp Barrier: Hyper-Fast Solitons in Einstein-Maxwell-Plasma Theory


Breaking the mass-sheet degeneracy with gravitational wave interference in lensed events


Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network


Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks


Breast density classification with deep convolutional neural networks


Breccia and basalt classification of thin sections of Apollo rocks with deep learning


Bregman forward-backward splitting for nonconvex composite optimization: superlinear convergence to nonisolated critical points


BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions


Bridged Transformer for Vision and Point Cloud 3D Object Detection


Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog


Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving


Bridging the Gap between Programming Languages and Hardware Weak Memory Models


Bridging the Gap to Real-World Object-Centric Learning


Brill-Noether-general Limit Root Bundles: Absence of vector-like Exotics in F-theory Standard Models


Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping


Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems


BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition


Broadband DOA estimation using Convolutional neural networks trained with noise signals


Broadband vectorial ultra-flat optics with experimental efficiency up to 99% in the visible via universal approximators


Brownian Dynamics without Green's Functions


Brushing up a theorem by Lehel Banjai on the convergence of Trapezoidal Rule Convolution Quadrature


BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs


Building Context-aware Clause Representations for Situation Entity Type Classification


Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models


Building Generalizable Agents with a Realistic and Rich 3D Environment


Building Language Models for Text with Named Entities


Building Program Vector Representations for Deep Learning


Building XenoBuntu Linux Distribution for Teaching and Prototyping Real-Time Operating Systems


Building a Conversational Agent Overnight with Dialogue Self-Play


Building a Swedish Open-Domain Conversational Language Model


Building a Syllable Database to Solve the Problem of Khmer Word Segmentation


Building and Interpreting Deep Similarity Models


Building multiscale models with PhysiBoSS, an agent-based modeling tool


Bulk Property on Cayley Tree with Smooth Boundary Condition


Bundle Recommendation with Graph Convolutional Networks


Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning


Burst Denoising with Kernel Prediction Networks


Burst ranking for blind multi-image deblurring


Burst timescales and luminosities link young pulsars and fast radio bursts


Burst-tree decomposition of time series reveals the structure of temporal correlations


Business Process Deviance Mining: Review and Evaluation


Butterfly Counting in Bipartite Networks


Butterfly Detection and Classification Based on Integrated YOLO Algorithm


Butterfly Transform: An Efficient FFT Based Neural Architecture Design


Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation


Buzz: An Extensible Programming Language for Self-Organizing Heterogeneous Robot Swarms


Byte Pair Encoding is Suboptimal for Language Model Pretraining


Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation


Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks


C-DLinkNet: considering multi-level semantic features for human parsing


C-FLAT: Control-FLow ATtestation for Embedded Systems Software


C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification


C3AE: Exploring the Limits of Compact Model for Age Estimation


CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery


CADA: Communication-Adaptive Distributed Adam


CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis


CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging


CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature


CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction


CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth


CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs


CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning


CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings


CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations


CASCADE: Contextual Sarcasm Detection in Online Discussion Forums


CASCLIK: CasADi-Based Closed-Loop Inverse Kinematics


CAST: Cross-Attention in Space and Time for Video Action Recognition


CAT: Customized Adversarial Training for Improved Robustness


CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning


CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables


CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs


CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams


CCAT-prime: RFSoC Based Readout for Frequency Multiplexed Kinetic Inductance Detectors


CCEdit: Creative and Controllable Video Editing via Diffusion Models


CCFC: Bridging Federated Clustering and Contrastive Learning


CCIL: Context-conditioned imitation learning for urban driving


CCMI : Classifier based Conditional Mutual Information Estimation


CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy


CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data


CCP: Correlated Clustering and Projection for Dimensionality Reduction


CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network


CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation


CE-FPN: Enhancing Channel Information for Object Detection


CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior


CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting


CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation


CFlowNets: Continuous Control with Generative Flow Networks


CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field


CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images


CGNet: A Light-weight Context Guided Network for Semantic Segmentation


CHEOPS observations of TESS primary mission monotransits


CHEX: CHannel EXploration for CNN Model Compression


CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks


CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery


CIFAR-10: KNN-based Ensemble of Classifiers


CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES)


CLAIMED, a visual and scalable component library for Trusted AI


CLAP: Learning Audio Concepts From Natural Language Supervision


CLASS-PT: non-linear perturbation theory extension of the Boltzmann code CLASS


CLEAR: Character Unlearning in Textual and Visual Modalities


CLEVRER: CoLlision Events for Video REpresentation and Reasoning


CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation


CLIP-It! Language-Guided Video Summarization


CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model


CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentation


CLN2INV: Learning Loop Invariants with Continuous Logic Networks


CLUSTSEG: Clustering for Universal Segmentation


CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps


CMRNet: Camera to LiDAR-Map Registration


CMS Analysis and Data Reduction with Apache Spark


CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation


CN-CELEB: a challenging Chinese speaker recognition dataset


CNN Classifier for Just-in-Time Woodpeckers Detection and Deterrent


CNN Features off-the-shelf: an Astounding Baseline for Recognition


CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance


CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces


CNN-RNN: A Unified Framework for Multi-label Image Classification


CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction


CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images


CNN-based InSAR Coherence Classification


CNN-based InSAR Denoising and Coherence Metric


CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario


CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal


COCO-GAN: Generation by Parts via Conditional Coordinating


CODAR: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices


CODEC: Complex Document and Entity Collection


CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation


COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning


COLA: A Benchmark for Compositional Text-to-image Retrieval


COLOGNE: Coordinated Local Graph Neighborhood Sampling


COMBO: Conservative Offline Model-Based Policy Optimization


COMET: Commonsense Transformers for Automatic Knowledge Graph Construction


CONCISE: Compressed 'n' Composable Integer Set


CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding


CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models


COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles


COS-Weak: Probing the CGM using analogs of weak Mg II absorbers at z < 0.3


COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys


COUNTDOWN - three, two, one, low power! A Run-time Library for Energy Saving in MPI Communication Primitives


COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models


COVID-19 Image Data Collection: Prospective Predictions Are the Future


COVID-19 in the United States: Trajectories and second surge behavior


COVID-19 lockdown induces disease-mitigating structural changes in mobility networks


COVID-19: Estimating spread in Spain solving an inverse problem with a probabilistic model


COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions


COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning


COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs


COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images


CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction


CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements


CPNet: Cross-Parallel Network for Efficient Anomaly Detection


CRAVES: Controlling Robotic Arm with a Vision-based Economic System


CRF Autoencoder for Unsupervised Dependency Parsing


CRNN: A Joint Neural Network for Redundancy Detection


CRPropa 3.2 -- an advanced framework for high-energy particle propagation in extragalactic and galactic spaces


CRRN: Multi-Scale Guided Concurrent Reflection Removal Network


CRVOS: Clue Refining Network for Video Object Segmentation


CSGNet: Neural Shape Parser for Constructive Solid Geometry


CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations


CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning


CSformer: Bridging Convolution and Transformer for Compressive Sensing


CTNet: Context-based Tandem Network for Semantic Segmentation


CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs


CUDA: Contradistinguisher for Unsupervised Domain Adaptation


CURI: A Benchmark for Productive Concept Learning Under Uncertainty


CURIE: An Iterative Querying Approach for Reasoning About Situations


CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification


CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training


CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement


CVNets: High Performance Library for Computer Vision


CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions


CWITools: A Python3 Data Analysis Pipeline for the Cosmic Web Imager Instruments


CYCLADES: Conflict-free Asynchronous Machine Learning


CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism


Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets


Cached Transformers: Improving Transformers with Differentiable Memory Cache


Calculating Time Lags From Unevenly-Sampled Light Curves


Calculation of quantum discord and entanglement measures using the random mutations optimization algorithm


Calibrated Adversarial Refinement for Stochastic Semantic Segmentation


Calibrated Model-Based Deep Reinforcement Learning


Calibrated Prediction Intervals for Neural Network Regressors


Calibrated Top-1 Uncertainty estimates for classification by score based models


Calibrating Deep Convolutional Gaussian Processes


Calibrating the dynamic Huff model for business analysis using location big data


Calibration of inexact computer models with heteroscedastic errors


Calibration-free BEV Representation for Infrastructure Perception


Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality Assessment


Camera-Based HRV Prediction for Remote Learning Environments


Cameras as Rays: Pose Estimation via Ray Diffusion


Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?


Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning


Can Author Collaboration Reveal Impact? The Case of h-index


Can BERT eat RuCoLA? Topological Data Analysis to Explain


Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent


Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs


Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers


Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory


Can Machines Learn Morality? The Delphi Experiment


Can NetGAN be improved on short random walks?


Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models


Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies


Can You Accept LaTeX Files from Strangers? Ten Years Later


Can a machine learn the outcome of planetary collisions?


Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education


Can cluster merger shocks reproduce the luminosity and shape distribution of radio relics?


Can learning from natural image denoising be used for seismic data interpolation?


Can recurrent neural networks warp time?


Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification


Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data


Canonical Sectors and Evolution of Firms in the US Stock Markets


Canonical Surface Mapping via Geometric Cycle Consistency


Capacity Preserving Mapping for High-dimensional Data Visualization


Capacity of Continuous Channels with Memory via Directed Information Neural Estimator


Capital Regulation under Price Impacts and Dynamic Financial Contagion


Captum: A unified and generic model interpretability library for PyTorch


Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3


CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method


Cartesian double theories: A double-categorical framework for categorical doctrines


Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge


Carving-width and contraction trees for tensor networks


Cascade Extended State Observer for Active Disturbance Rejection Control Applications under Measurement Noise


Cascade R-CNN: Delving into High Quality Object Detection


Cascade: A Platform for Delay-Sensitive Edge Intelligence


Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems


Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection


Cascading Bandits for Large-Scale Recommendation Problems


Castor: Contextual IoT Time Series Data and Model Management at Scale


CatBoost: gradient boosting with categorical features support


Catalyst.RL: A Distributed Framework for Reproducible RL Research


Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists


Categories generated by a trivalent vertex


Category-Level Articulated Object Pose Estimation


Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures


CausaLM: Causal Model Explanation Through Counterfactual Language Models


Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning


Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing


Causal Reasoning from Meta-reinforcement Learning


Causal inference for interfering units with cluster and population level treatment allocation programs


Causal mediation analysis in presence of multiple mediators uncausally related


CausalML: Python Package for Causal Machine Learning


CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning


Causality and Responsibility for Formal Verification and Beyond


Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations


Caveat Emptor, Computational Social Science: Large-Scale Missing Data in a Widely-Published Reddit Corpus


CedrusDB: Persistent Key-Value Store with Memory-Mapped Lazy-Trie


Celebrating Diversity in Shared Multi-Agent Reinforcement Learning


Cell Detection with Star-convex Polygons


Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning


Cell type nomenclature for the mammalian brain: Development and application of a systematic, extensible convention


CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images


Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification


CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation


CepGen -- A generic central exclusive processes event generator for hadron-hadron collisions


Cerebrovascular Network Segmentation on MRA Images with Deep Learning


Certifiable Robustness and Robust Training for Graph Convolutional Networks


Certifiably Optimal Mutual Localization with Anonymous Bearing Measurements


Certifiably Robust RAG against Retrieval Corruption


Certified Adversarial Robustness via Randomized Smoothing


Certified Deductive Reasoning with Language Models


Certifying Some Distributional Robustness with Principled Adversarial Training


Certifying optimality for convex quantum channel optimization problems


ChESS - Quick and Robust Detection of Chess-board Features


Chain of Code: Reasoning with a Language Model-Augmented Code Emulator


Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding


Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection


Chainpoll: A high efficacy method for LLM hallucination detection


Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks


Chainspace: A Sharded Smart Contracts Platform


Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning


Challenges in Deploying Machine Learning: a Survey of Case Studies


Challenges in the Decentralised Web: The Mastodon Case


Challenges of the inconsistency regime: Novel debiasing methods for missing data models


Chameleon: Mixed-Modal Early-Fusion Foundation Models


Change Point Detection with Copula Entropy based Two-Sample Test


Change of basis and Gram-Schmidt orthonormalization in special relativity


Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation


ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments


Channel Equilibrium Networks for Learning Deep Representation


Channel noise induced stochastic facilitation in an auditory brainstem neuron model


Channel-Attention Dense U-Net for Multichannel Speech Enhancement


Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers


Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music


ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions


Chaos as an Intermittently Forced Linear System


Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs


Character-Level Incremental Speech Recognition with Recurrent Neural Networks


Character-Level Question Answering with Attention


Characteristic class and the epsilon factor of an étale sheaf


Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity


Characterization of resistive Micromegas detectors for the upgrade of the T2K Near Detector Time Projection Chambers


Characterizing Allegheny County Opioid Overdoses with an Interactive Data Explorer and Synthetic Prediction Tool


Characterizing DAG-depth of Directed Graphs


Characterizing Efficient Referrals in Social Networks


Characterizing Fairness Over the Set of Good Models Under Selective Labels


Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives


Characterizing Quantum Supremacy in Near-Term Devices


Characterizing Spatiotemporal Transcriptome of Human Brain via Low Rank Tensor Decomposition


Characterizing Structural Regularities of Labeled Data in Overparameterized Models


Characterizing and Detecting Hateful Users on Twitter


Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions


Characterizing classification datasets: a study of meta-features for meta-learning


Characterizing nonatomic admissions markets


Characterizing the Shape of Activation Space in Deep Neural Networks


Characterizing the dynamics of learning in repeated reference games


Characterizing variability in nonlinear recurrent neuronal networks