Charformer: Fast Character Transformers via Gradient-based Subword Tokenization


Charge density and redox potential of LiNiO2 using ab initio diffusion quantum Monte Carlo


Chart-to-Text: A Large-Scale Benchmark for Chart Summarization


ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst


ChatPD: An LLM-driven Paper-Dataset Networking System


ChatUniTest: A Framework for LLM-Based Test Generation


ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst


CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings


Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group


Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models


Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web


CheckMATE 2: From the model to the limit


Checkerboard Context Model for Efficient Learned Image Compression


Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize


Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch


Cheetah: Accelerating Database Queries with Switch Pruning


ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction


ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations


ChemDFM: A Large Language Foundation Model for Chemistry


ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning


ChemLLM: A Chemical Large Language Model


ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening


Chemo-kinematics of the $Gaia$ RR Lyrae: the halo and the disc


Chi-square simulation of the CIR process and the Heston model


Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks


ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour


ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition


Chip Placement with Deep Reinforcement Learning


Chip-Chat: Challenges and Opportunities in Conversational Hardware Design


Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments


Choosing the Sample with Lowest Loss makes SGD Robust


Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations


Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms


Chronic-Pain Protective Behavior Detection with Deep Learning


ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification


ChuLo: Chunk-Level Key Information Representation for Long Document Processing


Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets


Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis


Circle and sphere blending with conformal geometric algebra


CircleGAN: Generative Adversarial Learning across Spherical Circles


Circumventing the Curse of Dimensionality in Magnetic Resonance Fingerprinting through a Deep Learning Approach


Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability


City-Scale Road Audit System using Deep Learning


CityJSON: A compact and easy-to-use encoding of the CityGML data model


CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information


Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection


Cladistical analysis of the Jovian and Saturnian satellite systems


Claim Check-Worthiness Detection as Positive Unlabelled Learning


Clarifying the Role of the Mantel-Haenszel Risk Difference Estimator in Randomized Clinical Trials


Class Balancing GAN with a Classifier in the Loop


Class-Conditional VAE-GAN for Local-Ancestry Simulation


Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository


Class-incremental Learning via Deep Model Consolidation


Class2Str: End to End Latent Hierarchy Learning


Classical Models of Entanglement in Monitored Random Circuits


Classical and Quantum Algorithms for Orthogonal Neural Networks


Classical and Quantum Bounded Depth Approximation Algorithms


Classical simulation of infinite-size quantum lattice systems in one spatial dimension


Classification Logit Two-sample Testing by Neural Networks


Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks


Classification from Positive, Unlabeled and Biased Negative Data


Classification from Triplet Comparison Data


Classification of $k$-tangle projections using cascade representation


Classification of Breast Cancer Histology using Deep Learning


Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network


Classification of Periodic, Chaotic and Random Sequences using NSRPS Complexity Measure


Classification of Point Cloud Scenes with Multiscale Voxel Deep Network


Classification of Time-Series Images Using Deep Convolutional Neural Networks


Classification of Urban Morphology with Deep Learning: Application on Urban Vitality


Classification of crystallization outcomes using deep convolutional neural networks


Classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis for fractional anomalous diffusion


Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence


Classification using Ensemble Learning under Weighted Misclassification Loss


Classification with Costly Features as a Sequential Decision-Making Problem


Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees


Classification-Based Anomaly Detection for General Data


Classification-Reconstruction Learning for Open-Set Recognition


Classifier Technology and the Illusion of Progress


Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions


Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling


ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models


Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts


Cleaning the correlation matrix with a denoising autoencoder


Clear and Compress: Computing Persistent Homology in Chunks


Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders


Clebsch-Gordan and 6j-coefficients for rank two quantum groups


Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue


Client Adaptation improves Federated Learning with Simulated Non-IID Clients


Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge


Client-Edge-Cloud Hierarchical Federated Learning


ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field


ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission


Clinically Accurate Chest X-Ray Report Generation


Clipped-Objective Policy Gradients for Pessimistic Policy Optimization


CliqueCNN: Deep Unsupervised Exemplar Learning


Clockwork Convnets for Video Semantic Segmentation


Close evaluation of layer potentials in three dimensions


Closed-Form Factorization of Latent Semantics in GANs


Closed-Loop Long-Term Experimental Molecular Communication System


Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution


Closed-loop deep learning: generating forward models with back-propagation


Clothoid Fitting and Geometric Hermite Subdivision


Cloud Process Execution Engine - Evaluation of the Core Concepts


Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks


Cloud-based Quadratic Optimization with Partially Homomorphic Encryption


Cloud2Curve: Generation and Vectorization of Parametric Sketches


CloudShield: Real-time Anomaly Detection in the Cloud


Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology


Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering


Cluster-level Feature Alignment for Person Re-identification


Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints


Clustered Object Detection in Aerial Images


Clustering Market Regimes using the Wasserstein Distance


Clustering Millions of Faces by Identity


Clustering Signed Networks with the Geometric Mean of Laplacians


Clustering of non-Gaussian data by variational Bayes for normal inverse Gaussian mixture models


Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO


Co-Attention Based Neural Network for Source-Dependent Essay Scoring


Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration


Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data


CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM Augmentation


CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation


CoCoNets: Continuous Contrastive 3D Scene Representations


CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing


CoInGP: Convolutional Inpainting with Genetic Programming


CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation


CoMamba: Real-time Cooperative Perception Unlocked with State Space Models


CoMoSVC: Consistency Model-based Singing Voice Conversion


CoNCRA: A Convolutional Neural Network Code Retrieval Approach


CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities


CoPaSul Manual - Contour-based parametric and superpositional intonation stylization


CoPhy: Counterfactual Learning of Physical Dynamics


CoSimLex: A Resource for Evaluating Graded Word Similarity in Context


CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions


Coarse Ricci curvature as a function on $M\times M$


Coarse-Graining Auto-Encoders for Molecular Dynamics


Coarse-graining renormalization by higher-order singular value decomposition


Coauthorship and citation in scientific publishing


Code Completion with Neural Attention and Pointer Networks


CodeBERT: A Pre-Trained Model for Programming and Natural Languages


CodeBLEU: a Method for Automatic Evaluation of Code Synthesis


CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models


CodeEditorBench: Evaluating Code Editing Capability of Large Language Models


CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X


CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs


CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models


CodeUpdateArena: Benchmarking Knowledge Editing on API Updates


Coded Caching over Multicast Routing Networks


Codestitcher: Inter-Procedural Basic Block Layout Optimization


Coding Teichmüller flow using veering triangulations


Coding closed and open quantum systems in MATLAB: applications in quantum optics and condensed matter


CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion


Cognitive Capacity Limits and Electoral Districting


Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach


Coherence analysis of beamline and simulation of coherent X-ray diffraction imaging based on a coherent modes model


Coherence of Quantum States after Noiseless Attenuation


Coherent Terahertz Radiation from a Nonlinear Oscillator of Viscous Electrons


Coherent-to-Diffuse Power Ratio Estimation for Dereverberation


Coin-flipping, ball-dropping, and grass-hopping for generating random graphs from matrices of edge probabilities


ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval


ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration


Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions


Collaborative Filtering and the Missing at Random Assumption


Collaborative Multi-BS Power Management for Dense Radio Access Network using Deep Reinforcement Learning


Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision


Collaborative Video Object Segmentation by Foreground-Background Integration


Collapsing the Decision Tree: the Concurrent Data Predictor


Collective Proposal Distributions for Nonlinear MCMC samplers: Mean-Field Theory and Fast Implementation


Collective behavior and emergent risks in a model of human- and autonomously-driven vehicles


Collective optimization for variational quantum eigensolvers


Collier: a fortran-based Complex One-Loop LIbrary in Extended Regularizations


Color Recognition for Rubik's Cube Robot


ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks


ColorNet -- Estimating Colorfulness in Natural Images


ColorNet: Investigating the importance of color spaces for image classification


ComFe: Interpretable Image Classifiers With Foundation Models, Transformers and Component Features


Combination of multiple Deep Learning architectures for Offensive Language Detection in Tweets


Combinatorial Models of Creation-Annihilation


Combinatorial Multi-armed Bandits for Resource Allocation


Combined Measurement of the Higgs Boson Mass in $pp$ Collisions at $\sqrt{s}=7$ and 8 TeV with the ATLAS and CMS Experiments


Combined Neyman-Pearson Chi-square: An Improved Approximation to the Poisson-likelihood Chi-square


Combined collapse by bridging and self-adhesion in a prototypical polymer model inspired by the bacterial nucleoid


Combiner: Full Attention Transformer with Sparse Computation Cost


Combining 3D Morphable Models: A Large scale Face-and-Head Model


Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation


Combining Deep Learning on Order Books with Reinforcement Learning for Profitable Trading


Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving


Combining Geometric and Topological Information for Boundary Estimation


Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts


Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction


Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation


Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem


Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization


Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation


Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization


Comments and Corrections to "Capacity of Multiple-Antenna Systems With Both Receiver and Transmitter Channel State Information"


Comments on "Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization"


Comments on Combining Switched TMAs and FDAs to Synthesize Dot-Shaped Beampatterns


Common Envelope Wind Tunnel: The Effects of Binary Mass Ratio and Implications for the Accretion-Driven Growth of LIGO Binary Black Holes


Common Representation Learning Using Step-based Correlation Multi-Modal CNN


Common Voice: A Massively-Multilingual Speech Corpus


Commonly Uncommon: Semantic Sparsity in Situation Recognition


Commonsense Knowledge Base Completion with Structural and Semantic Context


Communication Efficient Distributed Optimization using an Approximate Newton-type Method


Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients


Communication-Efficient Online Federated Learning Framework for Nonlinear Regression


Communication-Optimal Parallel Algorithm for Strassen's Matrix Multiplication


Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene


Community Correlations and Testing Independence Between Binary Graphs


Community structures, interactions and dynamics in London's bicycle sharing network


Community-driven reviewing and validation of publications


CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking


Compact Convolutional Neural Network Cascade for Face Detection


Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials


Compact Molecular Simulation on Quantum Computers via Combinatorial Mapping and Variational State Preparation


Compact Policies for Fully-Observable Non-Deterministic Planning as SAT


Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions


Comparative Study of CNN and RNN for Natural Language Processing


Comparative Study of Machine Learning Models and BERT on SQuAD


Comparative study of motion detection methods for video surveillance systems


Comparative study of performance of parallel Alpha Beta Pruning for different architectures


Comparing Dataset Characteristics that Favor the Apriori, Eclat or FP-Growth Frequent Itemset Mining Algorithms


Comparing Dynamics: Deep Neural Networks versus Glassy Systems


Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$RTS


Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences


Comparing Spike and Slab Priors for Bayesian Variable Selection


Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning


Comparing network covers using mutual information


Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations


Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast


Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction


Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets


Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction


Comparison of FaaS Orchestration Systems


Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services


Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem


Comparison of VCA and GAEE algorithms for Endmember Extraction


Comparison of computational methods for the electrochemical stability window of solid-state electrolyte materials


Competing Neural Networks for Robust Control of Nonlinear Systems


Competition-Level Code Generation with AlphaCode


Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations


Compiler Optimization via LLM Reasoning for Efficient Model Serving


ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling


Complementary Relation Contrastive Distillation


Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach


Complete Dictionary Learning via $\ell_p$-norm Maximization


Complete and Easy Bidirectional Typechecking for Higher-Rank Polymorphism


Complete background cosmology of parity-even quadratic metric-affine gravity


Complete solving the quadratic equation mod $2^n$


Complex Behaviour in a Discrete Coupled Logistic Model for the Symbiotic Interaction of Two Species


Complex Embeddings for Simple Link Prediction


Complex LLM Planning via Automated Heuristics Discovery


Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation


Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph


Complexity continuum within Ising formulation of NP problems


Complexity of Retrograde and Helpmate Chess Problems: Even Cooperative Chess is Hard


Complexity of products: the effect of data regularisation


Complexity of the interpretability logic IL


Complexity of the quorum intersection property of the Federated Byzantine Agreement System


Complexity-Theoretic Foundations of Quantum Supremacy Experiments


Component Attention Guided Face Super-Resolution Network: CAGFace


Composing Text and Image for Image Retrieval - An Empirical Odyssey


Composite Functional Gradient Learning of Generative Adversarial Models


Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions


Composite optimization for robust blind deconvolution


Compositional Distributional Semantics with Long Short Term Memory


Compositional Semantics for Probabilistic Programs with Exact Conditioning


Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers


Compositional generalization in a deep seq2seq model by separating syntax and semantics


Compositional uncertainty in deep Gaussian processes


Compositionally Generalizable 3D Structure Prediction


Compound Binary Search Tree and Algorithms


Comprehensive Image Captioning via Scene Graph Decomposition


Comprehensive and Efficient Workload Compression


Comprehensive model and performance optimization of phase-only spatial light modulators


Compressed Image Generation with Denoising Diffusion Codebook Models


Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss


Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions


Compressible Hydrodynamic Mean-Field Equations in Spherical Geometry and their Application to Turbulent Stellar Convection Data


Compression Artifacts Reduction by a Deep Convolutional Network


Compression algorithm for multi-determinant wave functions


Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications


Compressive Neural Representations of Volumetric Scalar Fields


Compressive Sensing for cut improvement and local clustering


Computation harvesting in road traffic dynamics


Computation of Galois groups of rational polynomials


Computation of real-valued basis functions which transform as irreducible representations of the polyhedral groups


Computation of the Travelling Salesman Problem by a Shrinking Blob


Computational Higher Type Theory IV: Inductive Types


Computational Methods for Gravitational Lensing


Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization


Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm


Computational Reverse-Engineering Analysis for Scattering Experiments for Form Factor and Structure Factor Determination ('P(q) and S(q) CREASE')


Computational aspects of orbifold equivalence


Computational nanoplasmonics for biosensing applications using PyGBe-LSPR


Computationally Efficient Simulation of Queues: The R Package queuecomputer


Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing


Computations in quantum mechanics made easy


Computer simulation of surgical interventions for the treatment of refractory pulmonary hypertension


Computer-Assisted Interactive Documentary and Performance Arts in Illimitable Space


Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling


Computing Hilbert class polynomials with the Chinese Remainder Theorem


Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs


Computing classification of interacting fermionic symmetry-protected topological phases using topological invariants


Computing symmetric determinantal representations


Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning


Computing the Stereo Matching Cost with a Convolutional Neural Network


Computing the Union Join and Subset Graph of Acyclic Hypergraphs in Subquadratic Time


Computing the center of a fusion category


Computing the minimal crew for a multi-generational space travel towards Proxima Centauri b


Computing zeta functions of arithmetic schemes


ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks


ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts


ConQUR: Mitigating Delusional Bias in Deep Q-learning


Concat-ID: Towards Universal Identity-Preserving Video Synthesis


Concentration bounds for the empirical angular measure with statistical learning applications


Concept Drift Detection for Streaming Data


Concept-Oriented Model: the Functional View


ConceptNet 5.5: An Open Multilingual Graph of General Knowledge


Conceptual Design Report for the LUXE Experiment


Concolic Testing for Deep Neural Networks


Concurrent Expandable AMQs on the Basis of Quotient Filters


Concurrent Hash Tables: Fast and General?(!)


Concurrent Learning of Semantic Relations


Concurrent Probabilistic Control Co-Design and Layout Optimization of Wave Energy Converter Farms using Surrogate Modeling


Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks


Condensed Movies: Story Based Retrieval with Contextual Embeddings


Condition Number Analysis of Kernel-based Density Ratio Estimation


Conditional Channel Gated Networks for Task-Aware Continual Learning


Conditional Diffusion Probabilistic Model for Speech Enhancement


Conditional Directed Graph Convolution for 3D Human Pose Estimation


Conditional GAN for timeseries generation


Conditional Gaussian Distribution Learning for Open Set Recognition


Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation


Conditional Generative ConvNets for Exemplar-based Texture Synthesis


Conditional Image Generation with Score-Based Diffusion Models


Conditional Infilling GANs for Data Augmentation in Mammogram Classification


Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors


Conditional Negative Sampling for Contrastive Learning of Visual Representations


Conditional Object-Centric Learning from Video


Conditional Random Field Autoencoders for Unsupervised Structured Prediction


Conditional Set Generation with Transformers


Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System


Conditioning by adaptive sampling for robust design


Conditions for Regional Frequency Stability in Power System Scheduling -- Part I: Theory


Cones 2: Customizable Image Synthesis with Multiple Subjects


Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition


Confidence Intervals for Stochastic Arithmetic


Confidence Intervals for Testing Disparate Impact in Fair Learning


Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift


Confidence from Invariance to Image Transformations


Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies


Confidence regions for high-dimensional generalized linear models under sparsity


Confidence-Aware Learning for Camouflaged Object Detection


Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness


ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning


Configuration of the ATLAS Trigger System


Configuration spaces of disks in an infinite strip


Conformal Prediction: a Unified Review of Theory and New Challenges


Conformer-based Target-Speaker Automatic Speech Recognition for Single-Channel Audio


Congested Traffic States in Empirical Observations and Microscopic Simulations


Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories


Connected Vehicle Application Development Platform (CVDeP) for Edge-centric Cyber-Physical Systems


Connecting Look and Feel: Associating the visual and tactile properties of physical materials


Connecting direct and indirect detection with a dark spike in the cosmic-ray electron spectrum


Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs


ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence


Consensus Maximisation Using Influences of Monotone Boolean Functions


Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads


Conservation laws for free-boundary fluid layers


Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy


Considerations for extracting moiré-level strain from dark field intensities in transmission electron microscopy


Consistency Tests of Classical and Quantum Models for a Quantum Annealer


Consistency between Lüscher's finite volume method and HAL QCD method for two-baryon systems in lattice QCD


Consistent Dialogue Generation with Self-supervised Feature Learning


Consistently faster and smaller compressed bitmaps with Roaring


Constant Size Molecular Descriptors For Use With Machine Learning


Constrained Approximate Optimal Transport Maps


Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision


Constrained Dynamic Control Allocation in the Presence of Singularity and Infeasible Solutions


Constrained Efficient Global Optimization of Expensive Black-box Functions


Constrained Empirical Risk Minimization: Theory and Practice


Constrained Extreme Learning Machines: A Study on Classification Cases


Constrained Generalized Additive 2 Model with Consideration of High-Order Interactions


Constrained Linear Data-feature Mapping for Image Classification


Constrained Neural Style Transfer for Decorated Logo Generation


Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense


Constrained Secrecy Capacity of Finite-Input Intersymbol Interference Wiretap Channels


Constrained fractional set programs and their application in local clustering and community detection


Constrained particle-mesh projections in a hybridized discontinuous Galerkin framework with applications to advection-dominated flows


Constraining Cosmological Parameters Based on Relative Galaxy Ages


Constraining the nuclear equation of state with GW170817


Constraining the parameters of GW150914 & GW170104 with numerical relativity surrogates


Constrains on the extragalactic origin of IceCube's neutrinos using HAWC


Constraints on Dark Matter Microphysics from the Milky Way Satellite Population


Constraints on Maximal Entanglement Under Groups of Permutations


Constraints on cosmic strings from ultracompact minihalos


Constraints on the mass-concentration relation of cold dark matter halos with 11 strong gravitational lenses


Constraints on the nuclear symmetry energy from asymmetric-matter calculations with chiral NN and 3N interactions


Constructing $A_\infty$-categories of matrix factorisations


Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach


Constructing Urban Tourism Space Digitally: A Study of Airbnb Listings in Two Berlin Neighborhoods


Constructing high order spherical designs as a union of two of lower order


Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models


Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation: theoretical perspective and data-based evaluation


ContCap: A scalable framework for continual image captioning


Contact-Implicit Trajectory Optimization Based on a Variable Smooth Contact Model and Successive Convexification


Content Selection in Deep Learning Models of Summarization


Content preserving text generation with attribute controls


Context Attentive Document Ranking and Query Suggestion


Context Encoding for Semantic Segmentation


Context Modeling in 3D Human Pose Estimation: A Unified Perspective


Context Tree for Adaptive Session-based Recommendation


Context-Aware Cross-Attention for Non-Autoregressive Translation


Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds


Context-Aware Embeddings for Automatic Art Analysis


Context-Aware Sequence Alignment using 4D Skeletal Augmentation


Context-Aware Visual Compatibility Prediction


Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification


Context-aware Natural Language Generation with Recurrent Neural Networks


ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization


Contextual Attention for Hand Detection in the Wild


Contextual Imagined Goals for Self-Supervised Robotic Learning


Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific Data


Contextual Salience for Fast and Accurate Sentence Vectors


Contextualised Graph Attention for Improved Relation Extraction


Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision


Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning


Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning


Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech


Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems


Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations


Continuous Speech Separation with Conformer


Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers


Continuous online sequence learning with an unsupervised neural network model


Continuous time Gaussian process dynamical models in gene regulatory network inference


Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework


Continuous-time Models for Stochastic Optimization Algorithms


Continuously Differentiable Exponential Linear Units


Continuum Scale Non Newtonian Particle Transport Model for Haemorheology -- Implementation and Validation


Continuum limits of pluri-Lagrangian systems


Contour Proposal Networks for Biomedical Instance Segmentation


ContraCLM: Contrastive Learning For Causal Language Model


Contractions, Removals and How to Certify 3-Connectivity in Linear Time


Contradictory Structure Learning for Semi-supervised Domain Adaptation


Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction


Contrastive Adaptation Network for Unsupervised Domain Adaptation


Contrastive Counterfactual Visual Explanations With Overdetermination


Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing


Contrastive Learning for Unpaired Image-to-Image Translation


Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political Parties


Contrastive Neural Processes for Self-Supervised Learning


Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification


Contrastive Registration for Unsupervised Medical Image Segmentation


Contrastive learning for regression in multi-site brain age prediction


Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping


Control of a Quadrotor with Reinforcement Learning


Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiome


Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation


Control-Bounded Analog-to-Digital Conversion: Transfer Function Analysis, Proof of Concept, and Digital Filter Implementation


Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning


Controllable Person Image Synthesis with Attribute-Decomposed GAN


Controllable and Guided Face Synthesis for Unconstrained Face Recognition


Controlled Experiments for Word Embeddings


Controlled Text Generation as Continuous Optimization with Multiple Constraints


Controlling FDR while highlighting selected discoveries


Controlling Neural Networks with Rule Representations


Controlling Participation in Federated Learning with Feedback


Controlling the False Discovery Rate for Binary Feature Selection via Knockoff


Controlling the dewetting morphologies of thin liquid films by switchable substrates


Controlling the false discovery rate via knockoffs


Controlling the weights of simulation particles: adaptive particle management using k-d trees


ConvAMR: Abstract meaning representation parsing for legal document


ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention


ConvLab: Multi-Domain End-to-End Dialog System Platform


ConvMAE: Masked Convolution Meets Masked Autoencoders


ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting


ConvNeXt Based Neural Network for Audio Anti-Spoofing


ConvNeXt-backbone HoVerNet for nuclei segmentation and classification


ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis


ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection


ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis


Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with $\ell_1$ and $\ell_2$ Regularization


Convergence and Inference of Stream SGD, with Applications to Queueing Systems and Inventory Control


Convergence of the Stochastic Six-Vertex Model to the ASEP


Convergence radius and sample complexity of ITKM algorithms for dictionary learning


Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems


Converging outer approximations to global attractors using semidefinite programming


Convex Constrained Semialgebraic Volume Optimization: Application in Systems and Control


Convex Factorization Machine for Regression


Convex Hull Approximation of Nearly Optimal Lasso Solutions


Convex Hull, IP and European Electricity Pricing in a European Power Exchanges setting with efficient computation of Convex Hull Prices


Convex Learning of Multiple Tasks and their Structure


Convex Relaxations for Global Optimization Under Uncertainty Described by Continuous Random Variables


Convex optimization based on global lower second-order models


Convex optimization for the densest subgraph and densest submatrix problems


Convex pentagons that admit $i$-block transitive tilings


Convexified Convolutional Neural Networks


ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis


Convolution with even-sized kernels and symmetric padding


Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems


Convolutional Gated Recurrent Units for Medical Relation Classification


Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation


Convolutional Networks with Adaptive Inference Graphs


Convolutional Neural Network Training with Distributed K-FAC


Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis


Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control


Convolutional Neural Networks for Facial Expression Recognition


Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery


Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks


Convolutional Neural Networks for Toxic Comment Classification


Convolutional Neural Operators for robust and accurate learning of PDEs


Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks


Convolutional Poisson Gamma Belief Network


Convolutional State Space Models for Long-Range Spatiotemporal Modeling


Convolutional Two-Stream Network Fusion for Video Action Recognition


Convolutional neural networks with fractional order gradient method


Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents


Cooperation and Environment Characterize the Low-Lying Optical Spectrum of Liquid Water


Cooperative Label-Free Moving Target Fencing for Second-Order Multi-Agent Systems with Rigid Formation


Coordinate Attention for Efficient Mobile Network Design


Copilot Arena: A Platform for Code LLM Evaluation in the Wild


Coping with Label Shift via Distributionally Robust Optimisation


Copula-based functional Bayes classification with principal components and partial least squares


Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization


Copy-and-Paste Networks for Deep Video Inpainting


Cora: Correspondence-aware image editing using few step diffusion


Core Imaging Library -- Part I: a versatile Python framework for tomographic imaging


Coresets for Ordered Weighted Clustering


Corner Transfer Matrix Renormalization Group Method


Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model


Corpus and Models for Lemmatisation and POS-tagging of Old French


Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction


Correcting Predictions for Approximate Bayesian Inference


Correlated Energy-Level Alignment Effects Determine Substituent-Tuned Single-Molecule Conductance


Correlated Fluctuations in Luminosity Distance and the (Surprising) Importance of Peculiar Motion in Supernova Surveys


Correlated Multivariate Poisson Processes and Extreme Measures


Correlated decoding of logical algorithms with transversal gates


Correlation Congruence for Knowledge Distillation


Correlation Improves Group Testing: Modeling Concentration-Dependent Test Errors


Correlation lengths in the language of computable information


Correlation-Compressed Direct Coupling Analysis


Correlative Symmetric Index: An alternative mathematical evaluation for beam profile symmetry


Correspondence of Deep Neural Networks and the Brain for Visual Textures


Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU


Cortical Circuits from Scratch: A Metaplastic Architecture for the Emergence of Lognormal Firing Rates and Realistic Topology


Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks


Cosmic Conundra Explained by Thermal History and Primordial Black Holes


Cosmic voids in modified gravity scenarios


Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit


CosmoHammer: Cosmological parameter estimation with the MCMC Hammer


CosmoVAE: Variational Autoencoder for CMB Image Inpainting


Cosmological $N$-body simulations with suppressed variance


Cosmological Solutions in Bimetric Gravity and their Observational Tests


Cosmological implications of ultra-light axion-like fields


Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies


Cost-Effective Active Learning for Deep Image Classification


Cost-Effective Data Feeds to Blockchains via Workload-Adaptive Data Replication


Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference


Cost-Sensitive Label Embedding for Multi-Label Classification


Cost-driven Screening of Network Constraints for the Unit Commitment Problem


Cost-effective Interactive Attention Learning with Neural Attention Processes


Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria


Cotton Yield Prediction Using Random Forest


Coulomb and strong interactions in the final state of HBT correlations for Lévy type source functions


Count-Based Exploration with Neural Density Models


Count-Min-Log sketch: Approximately counting with approximate counters


CountGD: Multi-Modal Open-World Counting


Counterfactual Explanations as Interventions in Latent Space


Counterfactual Explanations for Machine Learning on Multivariate Time Series Data


Counterfactual fairness for small subgroups


Counting Immutable Beans: Reference Counting Optimized for Purely Functional Programming


Counting Perfect Matchings as Fast as Ryser


Counting Zeros of Dirichlet $L$-Functions


Counting chemical reaction networks with NAUTY


Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method


Coupled conditional backward sampling particle filter


Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking


Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics


Coupling Random Orthonormal Projection with Gaussian Generative Model for Non-Interactive Private Data Release


Coupling of localization and depth data for mapping using Intel RealSense T265 and D435i cameras


Course notes Geometric Algebra for Computer Graphics, SIGGRAPH 2019


Covariance and PCA for Categorical Variables


Covariant quantum kernels for data with group structure


CoverNet: Multimodal Behavior Prediction using Trajectory Sets


Coverage Area Determination for Conical Fields of View Considering an Oblate Earth


Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication


Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization


Covid-19 -- A simple statistical model for predicting ICU load in early phases of the disease


Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset


CraftAssist: A Framework for Dialogue-enabled Interactive Agents


Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning


Crater Detection via Convolutional Neural Networks


Crazy Sequential Representation: Numbers from 0 to 11111 in terms of Increasing and Decreasing Orders of 1 to 9


Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search


Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function


Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing


Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data


Creating superpositions that correspond to efficiently integrable probability distributions


Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0


Crescent states in charge-imbalanced polariton condensates


Crime Prediction Based On Crime Types And Using Spatial And Temporal Criminal Hotspots


CrisisMMD: Multimodal Twitter Datasets from Natural Disasters


Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO


Critic Guided Segmentation of Rewarding Objects in First-Person Views


Critic-Guided Decoding for Controlled Text Generation


Critical escape velocity for a charged particle moving around a weakly magnetized Schwarzschild black hole


Critical phenomena in an extended Dicke model


Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate


Cross Attention Network for Few-shot Classification


Cross-Domain 3D Equivariant Image Embeddings


Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces


Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation


Cross-Domain Imitation Learning via Optimal Transport


Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models


Cross-Domain Labeled LDA for Cross-Domain Text Classification


Cross-Domain Policy Adaptation via Value-Guided Data Filtering


Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery


Cross-Domain and Disentangled Face Manipulation with 3D Guidance


Cross-Language Learning for Entity Matching


Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment


Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval


Cross-Modal Self-Attention Network for Referring Image Segmentation


Cross-Modal Weighting Network for RGB-D Salient Object Detection


Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees


Cross-View Regularization for Domain Adaptive Panoptic Segmentation


Cross-entropy-based importance sampling with failure-informed dimension reduction for rare event simulation


Cross-lingual Entity Alignment with Incidental Supervision


Cross-lingual Information Retrieval with BERT


Cross-lingual Models of Word Embeddings: An Empirical Comparison


Cross-lingual Visual Pre-training for Multimodal Machine Translation


Cross-lingual Word Segmentation and Morpheme Segmentation as Sequence Labelling


Cross-modal Deep Face Normals with Deactivable Skip Connections


Cross-modal Deep Variational Hand Pose Estimation


Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection


Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction


Cross-view Semantic Segmentation for Sensing Surroundings


CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data


CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion


CrossNER: Evaluating Cross-Domain Named Entity Recognition


CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping


Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts


Crowd Counting on Images with Scale Variation and Isolated Clusters


Crowd Simulation Modeling Applied to Emergency and Evacuation Simulations using Multi-Agent Systems


CrowdNet: A Deep Convolutional Network for Dense Crowd Counting


Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset


Crowdsourcing a Dataset of Audio Captions


Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data


CrypTen: Secure Multi-Party Computation Meets Machine Learning


CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU


Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography


Cryptocurrency market structure: connecting emotions and economics


Crystal Diffusion Variational Autoencoder for Periodic Material Generation


Crystal Structure Prediction via Oblivious Local Search


Crystal Structure Representations for Machine Learning Models of Formation Energies


Crystal structure prediction using age-fitness multi-objective genetic algorithm and coordination number constraints


CuMF_SGD: Fast and Scalable Matrix Factorization


CubeFlow: Money Laundering Detection with Coupled Tensors


Cubify Anything: Scaling Indoor 3D Object Detection


CubismAMR -- A C++ library for Distributed Block-Structured Adaptive Mesh Refinement


Cuckoo++ Hash Tables: High-Performance Hash Tables for Networking Applications


Curious Representation Learning for Embodied Intelligence


Current Web Application Development and Measurement Practices for Small Software Firms


Curriculum based Dropout Discriminator for Domain Adaptation


Curvature Wavefront Sensing for the Large Synoptic Survey Telescope


Curvature and Concentration of Hamiltonian Monte Carlo in High Dimensions


Curvature effects on the empirical mean in Riemannian and affine Manifolds: a non-asymptotic high concentration expansion in the small-sample regime


Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity


Customizing Sequence Generation with Multi-Task Dynamical Systems


Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation


CutLHCO: A Consumer-Level Tool for Implementing Generic Collider Data Selection Cuts in the Search for New Physics


Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more


Cyber Attack Detection thanks to Machine Learning Algorithms


Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography


Cycle-Balanced Representation Learning For Counterfactual Inference


CycleGAN for Interpretable Online EMT Compensation


CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion


CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training


CycleISP: Real Image Restoration via Improved Data Synthesis


Cyclic Boosting -- an explainable supervised machine learning algorithm


Cynical Selection of Language Model Training Data


D-NeRF: Neural Radiance Fields for Dynamic Scenes


D2-Net: A Trainable CNN for Joint Detection and Description of Local Features


D3D: Distilled 3D Networks for Video Action Recognition


D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features


DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks


DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention


DAC: Data-free Automatic Acceleration of Convolutional Networks


DAGs with NO TEARS: Continuous Optimization for Structure Learning


DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm


DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge


DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy


DANAE: a denoising autoencoder for underwater attitude estimation


DAP: Detection-Aware Pre-training with Weak Supervision


DARLA: Improving Zero-Shot Transfer in Reinforcement Learning


DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns


DAVANet: Stereo Deblurring with View Aggregation


DAmageNet: A Universal Adversarial Dataset


DBIA: Data-free Backdoor Injection Attack against Transformer Networks


DBNets: A publicly available deep learning tool to measure the masses of young planets in dusty protoplanetary discs


DCM Bandits: Learning to Rank with Multiple Clicks


DCT-like Transform for Image Compression Requires 14 Additions Only


DClaims: A Censorship Resistant Web Annotations System using IPFS and Ethereum


DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames


DDFlow: Learning Optical Flow with Unlabeled Data Distillation


DDGK: Learning Graph Representations for Deep Divergence Graph Kernels


DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization


DDUO: General-Purpose Dynamic Analysis for Differential Privacy


DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations


DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging


DEAL: Difficulty-aware Active Learning for Semantic Segmentation


DEC-QED: A flux-based 3D electrodynamic modeling approach to superconducting circuits and materials


DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments


DEFT: Differentiable Branched Discrete Elastic Rods for Modeling Furcated DLOs in Real-Time


DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph


DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region


DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging


DELPHES 3, A modular framework for fast simulation of a generic collider experiment


DESQ: Frequent Sequence Mining with Subsequence Constraints


DETA: Denoised Task Adaptation for Few-Shot Learning


DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version]


DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era


DGL-KE: Training Knowledge Graph Embeddings at Scale


DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing


DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning


DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems


DIMY: Enabling Privacy-preserving Contact Tracing


DINE: Dimensional Interpretability of Node Embeddings


DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection


DINO: Distributed Newton-Type Optimization Method


DIODE: A Dense Indoor and Outdoor DEpth Dataset


DISC: A Dynamic Shape Compiler for Machine Learning Workloads


DIWIFT: Discovering Instance-wise Influential Features for Tabular Data


DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision


DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis


DMAD: Dual Memory Bank for Real-World Anomaly Detection


DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity


DMesh: A Differentiable Mesh Representation


DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos


DNACloud: A Potential Tool for storing Big Data on DNA


DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators


DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training


DNest4: Diffusive Nested Sampling in C++ and Python


DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction


DOM-LM: Learning Generalizable Representations for HTML Documents


DONUT: CTC-based Query-by-Example Keyword Spotting


DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild


DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context


DOTmark - A Benchmark for Discrete Optimal Transport


DOVER: A Method for Combining Diarization Outputs


DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps


DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles


DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy


DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops


DPSNet: End-to-end Deep Plane Sweep Stereo


DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release


DPatch: An Adversarial Patch Attack on Object Detectors


DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection


DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis


DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks


DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension


DRIT++: Diverse Image-to-Image Translation via Disentangled Representations


DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning


DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs


DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression


DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation


DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer


DSOD: Learning Deeply Supervised Object Detectors from Scratch


DSSD : Deconvolutional Single Shot Detector


DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret


DTrOCR: Decoder-only Transformer for Optical Character Recognition


DURRNet: Deep Unfolded Single Image Reflection Removal Network


DVC: An End-to-end Deep Video Compression Framework


DWA: Differential Wavelet Amplifier for Image Super-Resolution


DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics


DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments


DaViT: Dual Attention Vision Transformers


DanceGRPO: Unleashing GRPO on Visual Generation


Dandelion: Redesigning the Bitcoin Network for Anonymity


Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters


Dark Matter "Collider" from Inelastic Boosted Dark Matter


Dark Matter Search in a Proton Beam Dump with MiniBooNE


Dark Matter Substructure under the Electron Scattering Lamppost


Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence


Dark Shards: velocity substructure from Gaia and direct searches for dark matter


Dark energy constraints and correlations with systematics from CFHTLS weak lensing, SNLS supernovae Ia and WMAP5


Dark matter decay through gravity portals


DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs


DashCop: Automated E-ticket Generation for Two-Wheeler Traffic Violations Using Dashcam Videos


Data Distillation: Towards Omni-Supervised Learning


Data Generation for Neural Programming by Example


Data Noising as Smoothing in Neural Network Language Models


Data Preparation in Agriculture Through Automated Semantic Annotation -- Basis for a Wide Range of Smart Services


Data Programming: Creating Large Training Sets, Quickly


Data analysis recipes: Using Markov Chain Monte Carlo


Data augmentation with Mobius transformations


Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks


Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures


Data-Driven Collective Variables for Enhanced Sampling


Data-Driven Crowd Simulation with Generative Adversarial Networks


Data-Driven Learning of Geometric Scattering Networks


Data-Driven Materials Discovery and Synthesis using Machine Learning Methods


Data-Driven Network Intrusion Detection: A Taxonomy of Challenges and Methods


Data-Driven Subsampling in the Presence of an Adversarial Actor


Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification


Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning


Data-Efficient Policy Evaluation Through Behavior Policy Search


Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control


Data-Parallel Algorithms for String Diagrams


Data-Prep-Kit: getting your data ready for LLM application development


Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings


Data-driven Estimation of Sinusoid Frequencies


Data-driven HR - Résumé Analysis Based on Natural Language Processing and Machine Learning


Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows


Data-driven cardiovascular flow modeling: examples and opportunities


Data-driven discovery of Green's functions with human-understandable deep learning


Data-driven discovery of PDEs in complex datasets


Data-driven discovery of dimensionless numbers and scaling laws from experimental measurements


Data-driven discovery of partial differential equations


Data-driven high-fidelity prediction of the equivalent sand-grain height of rough surfaces


Data-driven modeling of time-domain induced polarization


Data-driven nonlinear aeroelastic models of morphing wings for control


Data-driven, interpretable photometric redshifts trained on heterogeneous and unrepresentative data


Data-efficient Learning of Morphology and Controller for a Microrobot


Data-efficient Neuroevolution with Kernel-Based Surrogate Models


Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN


DataComp-LM: In search of the next generation of training sets for language models


Dataset Distillation with Infinitely Wide Convolutional Networks


Dataset Dynamics via Gradient Flows in Probability Space


Dataset for a Neural Natural Language Interface for Databases (NNLIDB)


Dataset for predicting cybersickness from a virtual navigation task


De novo protein design using geometric vector field networks


De-Diffusion Makes Text a Strong Cross-Modal Interface


De-homogenization using Convolutional Neural Networks


DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement


DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data


DeLighT: Deep and Light-weight Transformer


DeSIGN: Design Inspiration from Generative Networks


Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes


DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces


Deblending galaxy superpositions with branched generative adversarial networks


Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs


DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation


Decay time integrals in neutral meson mixing and their efficient evaluation


Decentralised Learning with Random Features and Distributed Gradient Descent


Decentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things


Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication


DeciLS-PBO: an Effective Local Search Method for Pseudo-Boolean Optimization


DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation


Deciphering Hate: Identifying Hateful Memes and Their Targets


Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment


Deciphering antibody affinity maturation with language models and weakly supervised learning


Decision-making with Speculative Opponent Models


Decoder Choice Network for Meta-Learning


Decoder Denoising Pretraining for Semantic Segmentation


DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers


Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network


Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning


Decoding the mechanisms of phase transitions from in situ microscopy observations


Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy


Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation


Decomposed Prompting to Answer Questions on a Course Discussion Board


Decomposing Motion and Content for Natural Video Sequence Prediction


Decomposing NeRF for Editing via Feature Field Distillation


Decomposition matrices for groups of Lie type in non-defining characteristic


Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask


Deconvolutional Paragraph Representation Learning


Decorrelated Adversarial Learning for Age-Invariant Face Recognition


Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer


Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems


Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation


Decoupling Dynamics and Reward for Transfer Learning


Decoupling Human and Camera Motion from Videos in the Wild


Decoupling Representation Learning from Reinforcement Learning


Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks


DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials


DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation


Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video


Deep Active Learning with Augmentation-based Consistency Estimation


Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment


Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond


Deep Animation Video Interpolation in the Wild


Deep Anomaly Detection for Generalized Face Anti-Spoofing


Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images


Deep Asymmetric Multi-task Feature Learning


Deep Auxiliary Learning for Visual Localization and Odometry


Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling


Deep Bayesian Multi-Target Learning for Recommender Systems


Deep Bayesian Optimization on Attributed Graphs


Deep Bi-Dense Networks for Image Super-Resolution


Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction


Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition


Deep Binary Reconstruction for Cross-modal Hashing


Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence


Deep CNN Frame Interpolation with Lessons Learned from Natural Language Processing


Deep CORAL: Correlation Alignment for Deep Domain Adaptation


Deep ChArUco: Dark ChArUco Marker Pose Estimation


Deep Character-Level Click-Through Rate Prediction for Sponsored Search


Deep Co-Training for Semi-Supervised Image Recognition


Deep Component Analysis via Alternating Direction Neural Networks


Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data


Deep Constrained Dominant Sets for Person Re-identification


Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems


Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model


Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution


Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces


Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information


Deep Counterfactual Networks with Propensity-Dropout


Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)


Deep Cuboid Detection: Beyond 2D Bounding Boxes


Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning


Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy


Deep Depth Completion of a Single RGB-D Image


Deep Deterministic Uncertainty: A Simple Baseline


Deep Discriminative Latent Space for Clustering


Deep Dynamics Models for Learning Dexterous Manipulation


Deep Embedding for Spatial Role Labeling


Deep Ensemble Learning-based Approach to Real-time Power System State Estimation


Deep Ensembles: A Loss Landscape Perspective


Deep Facial Expression Recognition: A Survey


Deep Feature Learning for EEG Recordings


Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality


Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search


Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking


Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization


Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors


Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging


Deep Generative Filter for Motion Deblurring


Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks


Deep Generative Models for Galaxy Image Simulations


Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers


Deep Hedging: Learning to Simulate Equity Option Markets


Deep Hierarchical Classification for Category Prediction in E-commerce System


Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification


Deep Hough Voting for 3D Object Detection in Point Clouds


Deep Hybrid Self-Prior for Full 3D Mesh Generation


Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network


Deep Imbalanced Attribute Classification using Visual Attention Aggregation


Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation


Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor


Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures


Deep Interpretable Non-Rigid Structure from Motion


Deep Inverse Q-learning with Constraints


Deep Iterative Frame Interpolation for Full-frame Video Stabilization


Deep Joint Rain Detection and Removal from a Single Image


Deep Just-In-Time Inconsistency Detection Between Comments and Source Code


Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions


Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning


Deep Leaf Segmentation Using Synthetic Data


Deep Learning Approach to Diabetic Retinopathy Detection


Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition


Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones


Deep Learning Based Text Classification: A Comprehensive Review


Deep Learning COVID-19 Features on CXR using Limited Training Data Sets


Deep Learning Enabled Uncorrelated Space Observation Association


Deep Learning Human Mind for Automated Visual Classification


Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows


Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks


Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions


Deep Learning Techniques for Music Generation -- A Survey


Deep Learning Through the Lens of Example Difficulty


Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments


Deep Learning and the Information Bottleneck Principle


Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation


Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images


Deep Learning for Audio Signal Processing


Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO


Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data


Deep Learning for Fine-Grained Image Analysis: A Survey


Deep Learning for Multiple-Image Super-Resolution


Deep Learning for Portfolio Optimization


Deep Learning for Predicting Asset Returns


Deep Learning for Sensor-based Activity Recognition: A Survey


Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering


Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection


Deep Learning for Video Classification and Captioning


Deep Learning for estimating parameters of Gravitational Waves


Deep Learning in Multi-Layer Architectures of Dense Nuclei


Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness


Deep Learning the City : Quantifying Urban Perception At A Global Scale


Deep Learning to Detect Redundant Method Comments


Deep Learning using Linear Support Vector Machines


Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks


Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR


Deep Learning with Dynamic Computation Graphs


Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator


Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment


Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution


Deep Learning-Based Semantic Segmentation of Microscale Objects


Deep Learning-based Forgery Attack on Document Images


Deep Lighting Environment Map Estimation from Spherical Panoramas


Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction


Deep Mean-Shift Priors for Image Restoration


Deep Metric Learning Beyond Binary Supervision


Deep Metric Learning by Online Soft Mining and Class-Aware Attention


Deep Metric Learning for Open World Semantic Segmentation


Deep Metric Learning via Facility Location


Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly


Deep Mixture of Experts via Shallow Embedding


Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces


Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations


Deep Motif: Visualizing Genomic Sequence Classifications


Deep Multi-View Learning via Task-Optimal CCA


Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification


Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges


Deep Multigrid: learning prolongation and restriction matrices


Deep Multimodal Clustering for Unsupervised Audiovisual Learning


Deep Multimodality Model for Multi-task Multi-view Learning


Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild


Deep Network Interpolation for Continuous Imagery Effect Transition


Deep Neural Net with Attention for Multi-channel Multi-touch Attribution


Deep Neural Network Compression for Image Classification and Object Detection


Deep Neural Network Fingerprinting by Conferrable Adversarial Examples


Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimensions


Deep Neural Network for DrawiNg Networks, (DNN)^2


Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning


Deep Neural Networks for Estimation and Inference


Deep Neural Networks for Multiple Speaker Detection and Localization


Deep Neural Networks for Optimal Team Composition


Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework


Deep Object Co-segmentation via Spatial-Semantic Network Modulation


Deep Over-sampling Framework for Classifying Imbalanced Data


Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions


Deep Parallel MRI Reconstruction Network Without Coil Sensitivities


Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches


Deep Position-wise Interaction Network for CTR Prediction


Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition


Deep Preset: Blending and Retouching Photos with Color Style Transfer


Deep Q-Learning for Nash Equilibria: Nash-DQN


Deep Recurrent Generative Decoder for Abstractive Text Summarization


Deep Reinforcement Learning Autoencoder with Noisy Feedback


Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting


Deep Reinforcement Learning for Efficient Measurement of Quantum Devices


Deep Reinforcement Learning for Event-Triggered Control


Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards


Deep Reinforcement Learning for Programming Language Correction


Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification


Deep Reinforcement Learning framework for Autonomous Driving


Deep Reinforcement Learning that Matters


Deep Reinforcement Learning with a Natural Language Action Space


Deep Reinforcement Learning: An Overview


Deep Relevance Ranking Using Enhanced Document-Query Interactions


Deep Representation of Imbalanced Spatio-temporal Traffic Flow Data for Traffic Accident Detection


Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors


Deep Residual Learning for Weakly-Supervised Relation Extraction


Deep Residual Networks with Exponential Linear Unit


Deep Residual-Dense Lattice Network for Speech Enhancement


Deep Retinex Decomposition for Low-Light Enhancement


Deep Segmentation and Registration in X-Ray Angiography Video


Deep Short Text Classification with Knowledge Powered Attention


Deep Single-View 3D Object Reconstruction with Visual Hull Embedding


Deep Sketch-guided Cartoon Video Inbetweening


Deep Spatial Autoencoders for Visuomotor Learning


Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models


Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition


Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness


Deep Structural Estimation: With an Application to Option Pricing


Deep Structured Energy Based Models for Anomaly Detection


Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification


Deep Super Learner: A Deep Ensemble for Classification Problems


Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting


Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces


Deep Template-based Object Instance Detection


Deep Transfer Learning for Static Malware Classification


Deep Triplet Ranking Networks for One-Shot Recognition


Deep Two-path Semi-supervised Learning for Fake News Detection


Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems


Deep Unknown Intent Detection with Margin Loss


Deep Unsupervised Clustering Using Mixture of Autoencoders


Deep Unsupervised Similarity Learning using Partially Ordered Sets


Deep ViT Features as Dense Visual Descriptors


Deep Video Deblurring: The Devil is in the Details


Deep Visual City Recognition Visualization


Deep Visual-Semantic Alignments for Generating Image Descriptions


Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning


Deep attention-based classification network for robust depth prediction


Deep attractor network for single-microphone speaker separation


Deep generative models of genetic variation capture mutation effects


Deep learning for Chemometric and non-translational data


Deep learning for pedestrians: backpropagation in CNNs


Deep learning improved by biological activation functions


Deep learning in remote sensing: a review


Deep learning incorporating biologically-inspired neural dynamics


Deep learning of dynamics and signal-noise decomposition with time-stepping constraints


Deep learning with differential Gaussian process flows


Deep model with built-in cross-attention alignment for acoustic echo cancellation


Deep neural network approximations for Monte Carlo algorithms


Deep neural network based sparse measurement matrix for image compressed sensing


Deep neural network for Wannier function centers


Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography


Deep neural networks with controlled variable selection for the identification of putative causal genetic variants


Deep reconstruction of strange attractors from time series


Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment


Deep-FSMN for Large Vocabulary Continuous Speech Recognition


Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory


Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images


Deep-Net: Deep Neural Network for Cyber Security Use Cases


Deep-Plant: Plant Identification with convolutional neural networks


Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments


Deep-Spying: Spying using Smartwatch and Deep Learning


Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit


Deep-learning Top Taggers or The End of QCD?


Deep-learning inversion: a next generation seismic velocity-model building method


DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning


DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation


DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs


DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image


DeepBox: Learning Objectness with Convolutional Networks


DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System


DeepCare: A Deep Dynamic Memory Model for Predictive Medicine


DeepCas: an End-to-end Predictor of Information Cascades


DeepDB: Learn from Data, not from Queries!


DeepDTA: Deep Drug-Target Binding Affinity Prediction


DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding


DeepEmo: Learning and Enriching Pattern-Based Emotion Representations


DeepFacePencil: Creating Face Images from Freehand Sketches


DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection


DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation


DeepFilter: an ECG baseline wander removal filter using deep learning techniques


DeepFont: Identify Your Font from An Image


DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment


DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs


DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting


DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation


DeepIEP: a Peptide Sequence Model of Isoelectric Point (IEP/pI) using Recurrent Neural Networks (RNNs)


DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework


DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation


DeepIM: Deep Iterative Matching for 6D Pose Estimation


DeepISP: Towards Learning an End-to-End Image Processing Pipeline


DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation


DeepImageSpam: Deep Learning based Image Spam Detection


DeepIris: Iris Recognition Using A Deep Learning Approach


DeepLOB: Deep Convolutional Neural Networks for Limit Order Books


DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift


DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image


DeepMath - Deep Sequence Models for Premise Selection


DeepMoD: Deep learning for Model Discovery in noisy data


DeepMutation: Mutation Testing of Deep Learning Systems


DeepNet: Scaling Transformers to 1,000 Layers


DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design


DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators


DeepPINK: reproducible feature selection in deep neural networks


DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning


DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks


DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM


DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch


DeepRED: Deep Image Prior Powered by RED


DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing


DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution


DeepSFM: Structure From Motion Via Deep Bundle Adjustment


DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learning


DeepSat - A Learning framework for Satellite Imagery


DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification


DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects


DeepScores and Deep Watershed Detection: current state and open issues


DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks


DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification


DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images


DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications


DeepSphere: towards an equivariant graph-based spherical CNN


DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces


DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker


DeepStereo: Learning to Predict New Views from the World's Imagery


DeepStochLog: Neural Stochastic Logic Programming


DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction


DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction


DeepTag: A General Framework for Fiducial Marker Design and Detection


DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow


DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis


DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans


DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep Learning


DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars


DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation


DeepVoxels: Learning Persistent 3D Feature Embeddings


DeepWarp: DNN-based Nonlinear Deformation


Deeper Clinical Document Understanding Using Relation Extraction


Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning


Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images


Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning


Deeper Task-Specificity Improves Joint Entity and Relation Extraction


Deeper and Wider Siamese Networks for Real-Time Visual Tracking


Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network


Deeply-Learned Part-Aligned Representations for Person Re-Identification


Deeply-Recursive Convolutional Network for Image Super-Resolution


DefectNET: multi-class fault detection on highly-imbalanced datasets


Defending against adversarial attacks on medical imaging AI system, classification or detection?


Deferred Neural Rendering: Image Synthesis using Neural Textures


Defo-Net: Learning Body Deformation using Generative Adversarial Networks


DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces


Deformable Convolutional LSTM for Human Body Emotion Recognition


Deformable Non-local Network for Video Super-Resolution


Deformable Part Models are Convolutional Neural Networks


Deformable Sprites for Unsupervised Video Decomposition


Deformation Flow Based Two-Stream Network for Lip Reading


Deformation-Aware 3D Model Embedding and Retrieval


Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance


Degree Sequence Bound For Join Cardinality Estimation


Deja Vu: Motion Prediction in Static Images


DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021


Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery


Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness


Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings


Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild


Demonstration-Guided Reinforcement Learning with Learned Skills


Demystifying Fixed k-Nearest Neighbor Information Estimators


Demystifying Invariant Effectiveness for Securing Smart Contracts


Demystifying the Information Reconciliation Protocol Cascade


Dendritic error backpropagation in deep cortical microcircuits


Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention


Denoising Implicit Feedback for Recommendation


Denoising modulo samples: k-NN regression and tightness of SDP relaxation


Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network


DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy


DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking


Dense Associative Memory for Pattern Recognition


Dense Contrastive Learning for Self-Supervised Visual Pre-Training


Dense Intrinsic Appearance Flow for Human Pose Transfer


Dense Label Encoding for Boundary Discontinuity Free Rotation Detection


Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation


Dense Regression Network for Video Grounding


Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models


Dense and Diverse Capsule Networks: Making the Capsules Learn Better


Dense output for highly oscillatory numerical solutions


DenseBox: Unifying Landmark Localization with End to End Object Detection


DenseNet approach to segmentation and classification of dermatoscopic skin lesions images


Densely Connected Bidirectional LSTM with Applications to Sentence Classification


Densely Connected Pyramid Dehazing Network


Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images


Density estimation on an unknown submanifold


Density-aware Single Image De-raining using a Multi-stream Dense Network


Density-based clustering of crystal orientations and misorientations and the orix python library


Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents


Dependency or Span, End-to-End Uniform Semantic Role Labeling


Dependent Types in Haskell: Theory and Practice


Dephasing mechanisms of diamond-based nuclear-spin memories for quantum networks


Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment


Deprojecting beam systematics for next-generation CMB B-mode searches


Depth Quality Aware Salient Object Detection


Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras


Depth-Based Object Tracking Using a Robust Gaussian Filter


Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework


DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles


Depthwise Discrete Representation Learning


Derivation of the Lattice Boltzmann Model for Relativistic Hydrodynamics


Derivation of the three-layer model for surface second-harmonic generation


Derivative Based Extended Regular Expression Matching Supporting Intersection, Complement and Lookarounds


Derivatives Sensitivities Computation under Heston Model on GPU


Deriving pairwise transfer entropy from network structure and motifs


DesCo: Learning Object Recognition with Rich Language Descriptions


Descent-to-Delete: Gradient-Based Methods for Machine Unlearning


Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning


Description of quantum dynamics of open systems based on collision-like models


Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence


Description of the Odin Event Extraction Framework and Rule Language


Desiderata for Representation Learning: A Causal Perspective


Design Challenges in Low-resource Cross-lingual Entity Linking


Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research


Design and Construction of Unmanned Ground Vehicles for Sub-Canopy Plant Phenotyping


Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service


Design and Optimization of Ellipsoid Scatterer-based Metasurfaces via the Inverse T-Matrix Method


Design of Communication Systems using Deep Learning: A Variational Inference Perspective


Design of a Trajectory Tracking Controller for a Nanoquadcopter


Designing Normative Theories for Ethical and Legal Reasoning: LogiKEy Framework, Methodology, and Tool Support


Designing Optimal Experiments: An Application to Proton Compton Scattering


Designing Quantum Router in IBM Quantum Computer


Designing Quantum Spin-Orbital Liquids in Artificial Mott Insulators


Designing and Training of A Dual CNN for Image Denoising


Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm


Designing the virtual CAT: A digital tool for algorithmic thinking assessment in compulsory education


Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2


DetGPT: Detect What You Need via Reasoning


DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition


Detailed Human Avatars from Monocular Video


Detailed, accurate, human shape estimation from clothed 3D scan sequences


Details and Proofs for: Stability Analysis of Multivariable Digital Control Systems with Uncertain Timing


Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling


Detect-and-Track: Efficient Pose Estimation in Videos


Detect-and-describe: Joint learning framework for detection and description of objects


Detect-to-Retrieve: Efficient Regional Aggregation for Image Search


DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays


Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain


Detecting Adversarial Examples through Nonlinear Dimensionality Reduction


Detecting Adversarial Examples via Neural Fingerprinting


Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction


Detecting Attended Visual Targets in Video


Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering


Detecting Bots and Assessing Their Impact in Social Networks


Detecting Communities in Networks by Merging Cliques


Detecting DGA domains with recurrent neural networks and side information


Detecting Face2Face Facial Reenactment in Videos


Detecting Faces Using Region-based Fully Convolutional Networks


Detecting Goldstone Modes with Entanglement Entropy


Detecting Harmful Memes with Decoupled Understanding and Guided CoT Reasoning


Detecting Overfitting of Deep Generative Networks via Latent Recovery


Detecting Path Anomalies in Time Series Data on Networks


Detecting Photoshopped Faces by Scripting Photoshop


Detecting Pretraining Data from Large Language Models


Detecting SNPs with interactive effects on a quantitative trait


Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election


Detecting Vanishing Points using Global Image Context in a Non-Manhattan World


Detecting and Explaining Causes From Text For a Time Series Event


Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning


Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection


Detecting multiword phrases in mathematical text corpora


Detecting new signals under background mismodelling