Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks


Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism


Table Search Using a Deep Contextualized Language Model


Table understanding in structured documents


TableFormer: Robust Transformer Modeling for Table-Text Encoding


TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation


Tables of record gaps between prime constellations


Tabular Data: Deep Learning is Not All You Need


Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning


Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model


Tactics to Directly Map CNN graphs on Embedded FPGAs


Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation


Tags2Parts: Discovering Semantic Regions from Shape Tags


TailorGAN: Making User-Defined Fashion Designs


Tailored ensembles of neural networks optimize sensitivity to stimulus statistics


Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction


Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain


Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs


Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving


TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction


Talking Face Generation by Adversarially Disentangled Audio-Visual Representation


Taming Data and Transformers for Audio Generation


Taming Diffusion Probabilistic Models for Character Control


Taming the Knight's Tour: Minimizing Turns and Crossings


Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits


Tangent-Space Gradient Optimization of Tensor Network for Machine Learning


Tangent-based manifold approximation with locally linear models


TanksWorld: A Multi-Agent Environment for AI Safety Research


TapeAgents: a Holistic Framework for Agent Development and Optimization


Target volatility option pricing in lognormal fractional SABR model


Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search


Targeted Image Reconstruction by Sampling Pre-trained Diffusion Model


Targeted free energy perturbation revisited: Accurate free energies from mapped reference potentials


Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems


Task Adaptive Parameter Sharing for Multi-Task Learning


Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks


Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast


Task Vector Quantization for Memory-Efficient Model Merging


Task dependent Deep LDA pruning of neural networks


Task-Based Effectiveness of Interactive Contiguous Area Cartograms


Task-Driven Estimation and Control via Information Bottlenecks


Task-Driven Modular Networks for Zero-Shot Compositional Learning


Task-Embedded Control Networks for Few-Shot Imitation Learning


Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification


Task-Oriented Multi-User Semantic Communications for VQA Task


Task-generalizable Adversarial Attack based on Perceptual Metric


Task-parallel Analysis of Molecular Dynamics Trajectories


Task2Vec: Task Embedding for Meta-Learning


TeKnowbase: Towards Construction of a Knowledge-base of Technical Concepts


TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video


Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection


Teaching Large Language Models to Self-Debug


Teaching precursors to data science in introductory and second courses in statistics


Technical Report for Valence-Arousal Estimation on Affwild2 Dataset


Technical Report on a Virtual CTAP2 WebAuthn Authenticator


Technical Report: NEMO DNN Quantization for Deployment Model


Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients


Tell Me Where to Look: Guided Attention Inference Network


Tell me why! Explanations support learning relational and causal structure


TellMeWhy: A Dataset for Answering Why-Questions in Narratives


Temperature field and heat generation at the tip of a cutout in a viscoelastic solid body undergoing loading


Template-free Pulse Height Estimation of Microcalorimeter Responses with PCA


Temporal Aggregate Representations for Long-Range Video Understanding


Temporal Alignment Networks for Long-term Video


Temporal Binary Representation for Event-Based Action Recognition


Temporal Context Aggregation Network for Temporal Action Proposal Refinement


Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery


Temporal Convolutional Networks for Action Segmentation and Detection


Temporal Convolutional Networks: A Unified Approach to Action Segmentation


Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning


Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations


Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation


Temporal Generative Adversarial Nets with Singular Value Clipping


Temporal Graph Benchmark for Machine Learning on Temporal Graphs


Temporal Human Action Segmentation via Dynamic Clustering


Temporal Interpolation via Motion Field Prediction


Temporal Knowledge Graph Completion using Box Embeddings


Temporal Link Prediction using Matrix and Tensor Factorizations


Temporal Map Labeling: A New Unified Framework with Experiments


Temporal Meta-path Guided Explainable Recommendation


Temporal Network Embedding with Micro- and Macro-dynamics


Temporal Network Representation Learning via Historical Neighborhoods Aggregation


Temporal Parallelization of Bayesian Smoothers


Temporal Parallelization of Inference in Hidden Markov Models


Temporal Regularization in Markov Decision Process


Temporal Shift GAN for Large Scale Video Generation


Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping


Temporal and Physical Reasoning for Perception-Based Robotic Manipulation


Temporal stability in human interaction networks


Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding


Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes


Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning


Temporally Distributed Networks for Fast Video Semantic Segmentation


Temporally smooth online action detection using cycle-consistent future anticipation


Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction


Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction


Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations


Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis


Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC


Tensor Networks contraction and the Belief Propagation algorithm


Tensor Representations for Action Recognition


Tensor renormalization group study of the non-Abelian Higgs model in two dimensions


Tensor-Structured Coupled Cluster Theory


TensorFlow: A system for large-scale machine learning


TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials


Test time Adaptation through Perturbation Robustness


Test-Time Augmentation for Traveling Salesperson Problem


Test-Time Distribution Normalization for Contrastively Learned Vision-language Models


Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies


Testing Database Engines via Pivoted Query Synthesis


Testing KiDS cross-correlation redshifts with simulations


Text Alignment Is An Efficient Unified Model for Massive NLP Tasks


Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling


Text Coherence Analysis Based on Deep Neural Network


Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs


Text Is All You Need: Learning Language Representations for Sequential Recommendation


Text Promptable Surgical Instrument Segmentation with Vision-Language Models


Text Readability Assessment for Second Language Learners


Text Segmentation based on Semantic Word Embeddings


Text Segmentation by Cross Segment Attention


Text Summarization using Abstract Meaning Representation


Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier


Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation


Text-To-Concept (and Back) via Cross-Model Alignment


Text-based Adventures of the Golovin AI Agent


Text-based classification of interviews for mental health -- juxtaposing the state of the art


Text-guided Attention Model for Image Captioning


Text-to-Image Generation Grounded by Fine-Grained User Attention


Text2Action: Generative Adversarial Synthesis from Language to Action


Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions


Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities


Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval


TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild


TextCNN with Attention for Text Classification


TextStyleBrush: Transfer of Text Aesthetics from a Single Example


TextTubes for Detecting Curved Text in the Wild


Texture Generation on 3D Meshes with Point-UV Diffusion


TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes


TexturePose: Supervising Human Mesh Estimation with Texture Consistency


Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences


The $s$-value: evaluating stability with respect to distributional shifts


The $α$-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance


The $κ$-generalised Distribution for Stock Returns


The $ρ$-resonance with physical pion mass from $N_f=2$ lattice QCD


The (thin) Bridges of AS Connectivity: Measuring Dependency using AS Hegemony


The 2009 multiwavelength campaign on Mrk 421: Variability and correlation studies


The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health


The ACS Survey of Galactic Globular Clusters. XII. Photometric Binaries along the Main-Sequence


The ATLAS3D Project -- XXIII. Angular momentum and nuclear surface brightness profiles


The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods


The Adapter-Bot: All-In-One Controllable Conversational Model


The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up


The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives


The Anatomy of Electro-Weak Symmetry Breaking. I: The Higgs boson in the Standard Model


The Annotation Guideline of LST20 Corpus


The Art of Saying No: Contextual Noncompliance in Language Models


The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis


The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect


The Automated Verification of Textual Claims (AVeriTeC) Shared Task


The Barycenter Method for Direct Optimization


The Birth of a Galaxy - III. Propelling reionisation with the faintest galaxies


The Bow-Tie Centrality: A Novel Measure for Directed and Weighted Networks with an Intrinsic Node Property


The Breakthrough Listen Search for Intelligent Life: MeerKAT Target Selection


The Broad-lined Ic Supernova ZTF18aaqjovh (SN 2018bvw): An Optically-discovered Engine-driven Supernova Candidate with Luminous Radio Emission


The Busy Beaver Competition: a historical survey


The CMS statistical analysis and combination tool: COMBINE


The COSMOS2015 Catalog: Exploring the 1<z<6 Universe with half a million galaxies


The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms


The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism


The Centralizing Effects of Private Order Flow on Proposer-Builder Separation


The Challenges of Persian User-generated Textual Content: A Machine Learning-Based Approach


The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation


The Channel Capacity of Channelrhodopsin and Other Intensity-Driven Signal Transduction Receptors


The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents


The Chess Transformer: Mastering Play using Generative Language Models


The Chosen One: Consistent Characters in Text-to-Image Diffusion Models


The Cinderella Complex: Word Embeddings Reveal ender Stereotypes in Movies and Books


The Cityscapes Dataset for Semantic Urban Scene Understanding


The Classical Gravitational N-Body Problem


The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological Implications from two Decades of Spectroscopic Surveys at the Apache Point observatory


The Complexity of the Puzzles of Final Fantasy XIII-2


The Conditional Analogy GAN: Swapping Fashion Articles on People Images


The Constituent Counting Rule and Omega Photoproduction


The Contextual Loss for Image Transformation with Non-Aligned Data


The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning


The Cramer Distance as a Solution to Biased Wasserstein Gradients


The Critical Density and the Effective Excitation Density of Commonly Observed Molecular Dense Gas Tracers


The Curse of Recursion: Training on Generated Data Makes Models Forget


The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks


The DeepFake Detection Challenge (DFDC) Dataset


The Deletable Bloom filter: A new member of the Bloom family


The Depth-to-Width Interplay in Self-Attention


The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform


The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks


The Dormant Neuron Phenomenon in Deep Reinforcement Learning


The Double Pentaladder Integral to All Orders


The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos


The EMPATHIC Framework for Task Learning from Implicit Human Feedback


The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines


The Ecological Impact of High-performance Computing in Astrophysics


The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation


The Effect of Doppler Broadening on the $6.3 \ PeV$ $W^-$ Resonance in $\barν_e e^-$ Collisions


The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation


The Effect of Person-Specific Biometrics in Improving Generic Stress Predictive Models


The Effect of Time Series Distance Functions on Functional Climate Networks


The Elicitation Game: Evaluating Capability Elicitation Techniques


The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System


The Emergence of Spectral Universality in Deep Networks


The Entropy of Conditional Markov Trajectories


The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling


The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition


The Explanation Game: Explaining Machine Learning Models Using Shapley Values


The Extended IRTF Spectral Library: Expanded coverage in metallicity, temperature, and surface gravity


The FAST Algorithm for Submodular Maximization


The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers


The Factory Must Grow: Automation in Factorio


The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?


The Fermi Paradox and the Aurora Effect: Exo-civilization Settlement, Expansion and Steady States


The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models


The First CHIME/FRB Fast Radio Burst Catalog


The First Evaluation of Chinese Human-Computer Dialogue Technology


The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models


The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings


The Formation and Survival of Discs in a Lambda-CDM Universe


The Freesound Loop Dataset and Annotation Tool


The Garching-Bonn Deep Survey (GaBoDS) Wide-Field-Imaging Reduction Pipeline


The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling


The Gaussian streaming model and Lagrangian effective field theory


The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models


The Geometry of Niggli Reduction I: The Boundary Polytopes of the Niggli Cone


The Google Scholar Experiment: how to index false papers and manipulate bibliometric indicators


The Graph Curvature Calculator and the curvatures of cubic graphs


The Grievance Dictionary: Understanding Threatening Language Use


The HANDE-QMC project: open-source stochastic quantum chemistry from the ground state up


The High-Energy Behavior of Photon, Neutrino and Proton Cross Sections


The History of Speech Recognition to the Year 2030


The Human Body and Millimeter-Wave Wireless Communication Systems: Interactions and Implications


The Image Local Autoregressive Transformer


The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting


The Impact of Quantum Computing on Present Cryptography


The Impact of an AirBnb Host's Listing Description 'Sentiment' and Length On Occupancy Rates


The Implicit Metropolis-Hastings Algorithm


The Influence of Thermal Pressure on Equilibrium Models of Hypermassive Neutron Star Merger Remnants


The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models


The JCMT Transient Survey: Data Reduction and Calibration Methods


The Karyotype Ontology: a computational representation for human cytogenetic patterns


The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions


The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document


The Langevin diffusion as a continuous-time model of animal movement and habitat selection


The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute


The Little Engine that Could: Regularization by Denoising (RED)


The Little Phone That Could Ch-Ch-Chroot


The Long Wavelength Array Software Library


The Low Effective Spin of Binary Black Holes and Implications for Individual Gravitational-Wave Events


The Lyapunov Characteristic Exponents and their computation


The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles


The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization


The MWA Long Baseline Epoch of Reionisation Survey: I. Improved Source Catalogue for the EoR 0 field


The Mass Profile of the Milky Way to the Virial Radius from the Illustris Simulation


The Mathieu group $M_{12}$ and its pseudogroup extension $M_{13}$


The Maximal-Density Mass Function for Primordial Black Hole Dark Matter


The Maximum Common Subgraph Problem: A Portfolio Approach


The MeSsI (Merging Systems Identification) Algorithm & Catalogue


The Merging Path Plot: adaptive fusing of k-groups with likelihood-based model selection


The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors


The Missing Point in Vision Transformers for Universal Image Segmentation


The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement


The Multi-INstrument Burst ARchive (MINBAR)


The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation


The N2HDM under Theoretical and Experimental Scrutiny


The NANOGrav 12.5-year Data Set: Search For An Isotropic Stochastic Gravitational-Wave Background


The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background


The NANOGrav Nine-year Data Set: Limits on the Isotropic Stochastic Gravitational Wave Background


The Nesterov-Spokoiny Acceleration Achieves Strict $o(1/k^2)$ Convergence


The Neural Testbed: Evaluating Joint Predictions


The New Approach on Fuzzy Decision Trees


The Noise-Sensitivity Phase Transition in Compressed Sensing


The Octave (Birmingham - Sheffield Hallam) automated pipeline for extracting oscillation parameters of solar-like main-sequence stars


The Open Catalyst 2020 (OC20) Dataset and Community Challenges


The Optimal Use of Silicon Pixel Charge Information for Particle Identification


The Orchive : Data mining a massive bioacoustic archive


The Panchromatic Hubble Andromeda Treasury XV. The BEAST: Bayesian Extinction and Stellar Tool


The Parameter-Less Self-Organizing Map algorithm


The PlayStation Reinforcement Learning Environment (PSXLE)


The Pose Knows: Video Forecasting by Generating Pose Futures


The Power Mean Laplacian for Multilayer Graph Clustering


The Predictron: End-To-End Learning and Planning


The Price of Local Fairness in Multistage Selection


The Privacy Onion Effect: Memorization is Relative


The Probability that Ideals in a Number Ring are k-wise Relatively r-Prime


The Promise of Premise: Harnessing Question Premises in Visual Question Answering


The R Package stagedtrees for Structural Learning of Stratified Staged Trees


The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms


The Rationale behind the Concept of Goal


The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only


The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification


The Resistance Perturbation Distance: A Metric for the Analysis of Dynamic Networks


The SRG/eROSITA All-Sky Survey: First catalog of superclusters in the western Galactic hemisphere


The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video


The Scalable Brain Atlas: instant web-based access to public brain atlases and related content


The Scott model of PCF in univalent type theory


The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning


The Simons Observatory: Science goals and forecasts


The Singular Values of Convolutional Layers


The Software Heritage Filesystem (SwhFS): Integrating Source Code Archival with Development


The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages


The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters


The Steep-Bounce Zeta Map in Parabolic Cataland


The Stellar Spectra Factory (SSF) Based On SLAM


The Stochastic Self-Consistent Harmonic Approximation: Calculating Vibrational Properties of Materials with Full Quantum and Anharmonic Effects


The Strongly Coupled Electron Liquid: ab initio Path Integral Monte Carlo Simulations and Dielectric Theories


The Superior Knowledge Proximity Measure for Patent Mapping


The Surprising Power of Graph Neural Networks with Random Node Initialization


The TESS Input Catalog and Candidate Target List


The Thurston Algorithm for quadratic matings


The Top-K Tau-Path Screen for Monotone Association


The Tree Ensemble Layer: Differentiability meets Conditional Computation


The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models


The UEA multivariate time series classification archive, 2018


The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation


The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective


The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected


The Universal Decompositional Semantics Dataset and Decomp Toolkit


The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning


The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction


The Unreasonable Ineffectiveness of the Deeper Layers


The Unseen AI Disruptions for Power Grids: LLM-Induced Transients


The Utility of Phase Models in Studying Neural Synchronization


The Variance of Causal Effect Estimators for Binary V-structures


The Violation Heap: A Relaxed Fibonacci-Like Heap


The Virtual Element Method in 50 lines of MATLAB


The Visual Centrifuge: Model-Free Layered Video Representations


The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning


The Wasserstein-Fourier Distance for Stationary Time Series


The Weak Lensing Peak Statistics in the Mocks by the inverse-Gaussianization Method


The Weisfeiler-Lehman Method and Graph Isomorphism Testing


The Why and How of Nonnegative Matrix Factorization


The Willing Kingdon Clifford Algebra Library


The XY model at finite chemical potential using complex Langevin dynamics


The Young Star Cluster population of M51 with LEGUS: I. A comprehensive study of cluster formation and evolution


The Zero Turbulence Manifold in Fusion Plasmas


The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning


The algebra of harmonic functions for a matrix-valued transfer operator


The appearance of coordinate shocks in hyperbolic formalisms of General Realtivity


The application of adaptive minimum match k-nearest neighbors to identify at-risk students in health professions education


The astrometric core solution for the Gaia mission. Overview of models, algorithms and software implementation


The asymptotic coarse-graining formulation of slender-rods, bio-filaments and flagella


The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations


The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R


The blockchain: a new framework for robotic swarm systems


The chromatic index of strongly regular graphs


The computation of disconnected bifurcation diagrams


The cool and the cruel: separating hard parts of LWE secrets


The cooling rate of neutron stars after thermonuclear shell flashes


The cosmic neutrino background as a collection of fluids in large-scale structure simulations


The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian


The delayed evolution of high-mass white dwarfs: the Q branch and double-white-dwarf mergers


The deterministic information bottleneck


The division of labor in communication: Speakers help listeners account for asymmetries in visual perspective


The dynamics of digits: Calculating pi with Galperin's billiards


The effectiveness of backward contact tracing in networks


The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes


The entropy formula for the Ricci flow and its geometric applications


The equation of state for dense nucleonic matter from a metamodeling. I. Foundational aspects


The event generator DECAY4 for simulation of double beta processes and decay of radioactive nuclei


The evidence for a spatially flat Universe


The exploration-exploitation paradigm for networked biological systems


The fastest $\ell_{1,\infty}$ prox in the west


The formal affine Demazure algebra and real finite reflection groups


The formation of Jupiter by hybrid pebble-planetesimal accretion


The game story space of professional sports: Australian Rules Football


The geometry of hidden representations of large transformer models


The geometry of integration in text classification RNNs


The globular cluster system of NGC 1316 IV. Nature of the star cluster complex SH2


The group fused Lasso for multiple change-point detection


The growth and entrainment of cold gas in a hot wind


The hidden architecture of connections: How do multidimensional identities shape our social networks?


The iNaturalist Species Classification and Detection Dataset


The idemetric property: when most distances are (almost) the same


The iisignature library: efficient calculation of iterated-integral signatures and log signatures


The impact of modelling choices on modelling outcomes: a spatio-temporal study of the association between COVID-19 spread and environmental conditions in Catalonia (Spain)


The impact of undetected cases on tracking epidemics: the case of COVID-19


The importance of better models in stochastic optimization


The influence of geometry, surface character and flexibility on the permeation of ions and water through biological pores


The integrated Sachs-Wolfe effect in the AvERA cosmology


The liquid-argon scintillation pulseshape in DEAP-3600


The low-frequency environment of the Murchison Widefield Array: radio-frequency interference analysis and mitigation


The magnetic topology of AR13664 leading to its first halo CME


The mechanism of RNA base fraying: molecular dynamics simulations analyzed with core-set Markov state models


The missing radial velocities of Gaia: blind predictions for DR3


The morphology of cosmological reionization by means of Minkowski Functionals


The multiplex dependency structure of financial markets


The network uncertainty quantification method for propagating uncertainties in component-based systems


The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes


The nilpotent Dirac equation and its applications in particle physics


The numerical approximation of the Schrödinger equation with concentrated potential


The one-dimensional Ly-alpha forest power spectrum from BOSS


The orbital PDF: general inference of the gravitational potential from steady-state tracers


The persistence landscape and some of its properties


The persistent homology of a sampled map: From a viewpoint of quiver representations


The polarimetric imaging mode of VLT/SPHERE/IRDIS II: Characterization and correction of instrumental polarization effects


The probability of drawing intersections: extending the hypergeometric distribution


The radial variation of the LMC-induced reflex motion of the Milky Way disc observed in the stellar halo


The random periodic solution of a stochastic differential equation with a monotone drift and its numerical approximation


The role of helicity in triad interactions in 3D turbulence investigated in a new shell model


The second cohomology of regular semisimple Hessenberg varieties from GKM theory


The self-tuned sensitivity of circadian clocks


The shape and simplicity biases of adversarially robust ImageNet-trained CNNs


The shortest time and/or the shortest path strategies in a CA FF pedestrian dynamics model


The skyrmion lattice phase in three dimensional chiral magnets from Monte Carlo simulations


The spatial $Λ$-Fleming-Viot process in a random environment


The star cluster formation history of the LMC


The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge


The structure and function of complex networks


The structure of MESSI biological systems


The transport of images method: computing all zeros of harmonic mappings by continuation


The uniform general signed rank test and its design sensitivity


The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection


The utilization of spherical camera in simulation for service robotics


The values of the Dedekind-Rademacher cocycle at real multiplication points


The visibility based Tapered Gridded Estimator (TGE) for the redshifted 21-cm power spectrum


Theano: A Python framework for fast computation of mathematical expressions


Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation


Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters


Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution


Theoretical evidence for adversarial robustness through randomization


Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels


Theoretically Principled Trade-off between Robustness and Accuracy


Theory-Inspired Path-Regularized Differential Network Architecture Search


There and back again: A circuit extraction tale


There and back again: understanding the critical properties of backsplash galaxies


Thermal conductivity and thermal diffusivity of molten salts: insights from molecular dynamics simulations and fundamental bounds


Thermal experiments for fractured rock characterization: theoretical analysis and inverse modeling


ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images


Theseus: A Library for Differentiable Nonlinear Optimization


Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation


Think Global, Act Local: Relating DNN generalisation and node-level SNR


Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering


ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing


ThirdEye: Triplet Based Iris Recognition without Normalization


This Time with Feeling: Learning Expressive Musical Performance


Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits


Thompson Sampling: An Asymptotically Optimal Finite Time Analysis


Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web


Thought of Search: Planning with Language Models Through The Lens of Efficiency


Three Approaches for Personalization with Applications to Federated Learning


Three Bricks to Consolidate Watermarks for Large Language Models


Three Classes of Newtonian Three-Body Planar Periodic Orbits


Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction


Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis


Three dimensions, two microscopes, one code: automatic differentiation for x-ray nanotomography beyond the depth of focus limit


Three presentations of torus equivariant cohomology of flag manifolds


Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation


Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)


Three-dimensional electromagnetic modeling of practical superconductors for power applications


Three-dimensional multiscale discrete Radon and John transforms


Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation


Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews


Ti-MAE: Self-Supervised Masked Time Series Autoencoders


TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning


TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics


TicTac: Accelerating Distributed Deep Learning with Communication Scheduling


Tidally Distorted Exoplanets: Density Corrections for Short-Period Hot-Jupiters based solely on Observable Parameters


Tie-decay networks in continuous time and eigenvector-based centralities


Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters


Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration


Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers


Tightly Coupled 3D Lidar Inertial Odometry and Mapping


TikZ-Feynman: Feynman diagrams with TikZ


TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures


Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context


TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer


Time Dependent Hamiltonian Simulation Using Discrete Clock Constructions


Time Derivative of Rotation Matrices: A Tutorial


Time Series Clustering via Community Detection in Networks


Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher


Time Series Forecasting Using LSTM Networks: A Symbolic Approach


Time Series Generation with Masked Autoencoder


Time series forecasting with Gaussian Processes needs priors


Time series models with infinite-order partial copula dependence


Time-Dependent Deep Image Prior for Dynamic MRI


Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users


Time-efficient Garbage Collection in SSDs


Time-independent free energies from metadynamics via Mean Force Integration


Time-space-frequency feature Fusion for 3-channel motor imagery classification


Time-varying neural network for stock return prediction


Time-warping invariants of multidimensional time series


Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets


TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding


TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction


TimeSeriesExam: A time series understanding exam


TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning


Times series averaging and denoising from a probabilistic perspective on time-elastic kernels


TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis


Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection


Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages


TinyLFU: A Highly Efficient Cache Admission Policy


TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars


TinySAM: Pushing the Envelope for Efficient Segment Anything Model


TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation


TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context


Titans: Learning to Memorize at Test Time


To Aid Scientific Inference, Emphasize Unconditional Compatibility Descriptions of Statistics


To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions


To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions


Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection


TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction


TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks


TongUI: Building Generalized GUI Agents by Learning from Multimodal Web Tutorials


Too many cooks: Bayesian inference for coordinating multi-agent collaboration


ToolTalk: Evaluating Tool-Usage in a Conversational Setting


Toolformer: Language Models Can Teach Themselves to Use Tools


Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy


Top-Related Meta-Learning Method for Few-Shot Object Detection


Top-down Neural Attention by Excitation Backprop


Top-down Visual Saliency Guided by Captions


Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples


TopiOCQA: Open-domain Conversational Question Answering with Topic Switching


Topic Modeling over Short Texts by Incorporating Word Embeddings


Topic Modeling via Full Dependence Mixtures


Topic supervised non-negative matrix factorization


Topic-Guided Attention for Image Captioning


Topic-based Evaluation for Conversational Bots


TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency


TopoAna: A generic tool for the event type analysis of inclusive Monte-Carlo samples in high energy physics experiments


Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows -- An Experimental Study


Topological Magnetoelectric Response in Ferromagnetic Axion Insulators


Topological Signal Processing over Simplicial Complexes


Topological models to infer multiphase interstellar medium properties


Topological portraits of multiscale coordination dynamics


Topological quantum switch and controllable quasi 1D wires in antimonene


Topological time-series analysis with delay-variant embedding


Topological transitions during grain growth on a finite element mesh


Topology and local geometry of the Eden model


Topology of Out-of-Distribution Examples in Deep Neural Networks


TorchRL: A data-driven decision-making library for PyTorch


TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training


Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals


Total Variation Regularisation with Spatially Variable Lipschitz Constraints


TotalSegmentator: robust segmentation of 104 anatomical structures in CT images


TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning


Touchless Typing using Head Movement-based Gestures


Tourbillon: a Physically Plausible Neural Architecture


Toward Abstractive Summarization Using Semantic Representations


Toward Certified Robustness Against Real-World Distribution Shifts


Toward Degradation-Robust Voice Conversion


Toward Fast and Accurate Neural Discourse Segmentation


Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System


Toward Metrics for Differentiating Out-of-Distribution Sets


Toward Spatially Unbiased Generative Models


Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks


Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective


Toward source region tomography with inter-source interferometry: Shear wave velocity from 2018 West Bohemia swarm earthquakes


Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming


Towards 3D VR-Sketch to 3D Shape Retrieval


Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks


Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks


Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features


Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net


Towards Automatic Learning of Procedures from Web Instructional Videos


Towards Better Interpretability in Deep Q-Networks


Towards Building Large Scale Multimodal Domain-Aware Conversation Systems


Towards Compact CNNs via Collaborative Compression


Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation


Towards Deep Conversational Recommendations


Towards Deep Neural Network Architectures Robust to Adversarial Examples


Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process


Towards Diverse and Natural Image Descriptions via a Conditional GAN


Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements


Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies


Towards Efficient Training for Neural Network Quantization


Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing


Towards End-to-end Car License Plate Location and Recognition in Unconstrained Scenarios


Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly


Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features


Towards Fast Computation of Certified Robustness for ReLU Networks


Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline


Towards Federated Bayesian Network Structure Learning with Continuous Optimization


Towards Frequency-Based Explanation for Robust CNN


Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models


Towards Generalization and Simplicity in Continuous Control


Towards Generating Real-World Time Series Data


Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets


Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification


Towards High Performance Relativistic Electronic Structure Modelling: The EXP-T Program Package


Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction


Towards Improved Zero-shot Voice Conversion with Conditional DSVAE


Towards Industrial-scale Product Configuration


Towards Interpretable Reinforcement Learning Using Attention Augmented Agents


Towards Knowledge-Based Personalized Product Description Generation in E-commerce


Towards Learning How to Properly Play UNO with the iCub Robot


Towards Lightweight Lane Detection by Optimizing Spatial Embedding


Towards Making the Most of Context in Neural Machine Translation


Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages


Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks


Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model


Towards Multicellular Biological Deep Neural Nets Based on Transcriptional Regulation


Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent


Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning


Towards Part-Based Understanding of RGB-D Scans


Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content


Towards Physics-informed Deep Learning for Turbulent Flow Prediction


Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem


Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning


Towards Precision Healthcare: Robust Fusion of Time Series and Image Data


Towards Pricing Financial Derivatives with an IBM Quantum Computer


Towards Real-Time Automatic Portrait Matting on Mobile Devices


Towards Real-Time, Country-Level Location Classification of Worldwide Tweets


Towards Reverse-Engineering Black-Box Neural Networks


Towards Robust LLMs: an Adversarial Robustness Measurement Framework


Towards Robust Learning with Different Label Noise Distributions


Towards Robustness of Text-to-SQL Models against Synonym Substitution


Towards Safe Policy Improvement for Non-Stationary MDPs


Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks


Towards Sharp Analysis for Distributed Learning with Random Features


Towards Solving Text-based Games by Producing Adaptive Action Spaces


Towards Sparse Hierarchical Graph Classifiers


Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems


Towards Symbolic Reinforcement Learning with Common Sense


Towards Understanding Gender Bias in Relation Extraction


Towards Understanding Regularization in Batch Normalization


Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective


Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition


Towards Universal Dialogue State Tracking


Towards Universal Object Detection by Domain Attention


Towards Viewpoint Invariant 3D Human Pose Estimation


Towards Wide Learning: Experiments in Healthcare


Towards a Better Understanding and Regularization of GAN Training Dynamics


Towards a Collective Agenda on AI for Earth Science Data Analysis


Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks


Towards a General-Purpose Belief Maintenance System


Towards a Job Title Classification System


Towards a Social Virtual Reality Learning Environment in High Fidelity


Towards a fitting procedure for deeply virtual Compton scattering at next-to-leading order and beyond


Towards a predictive spatio-temporal representation of brain data


Towards a secure API client generator for IoT devices


Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing


Towards an efficient and exact algorithm for dynamic dedicated path protection


Towards causal benchmarking of bias in face analysis algorithms


Towards end-to-end spoken language understanding


Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map


Towards online triggering for the radio detection of air showers using deep neural networks


Towards practical qubit computation using approximate error-correcting grid states


Towards safe human-to-robot handovers of unknown containers


Towards the Evolution of Vertical-Axis Wind Turbines using Supershapes


Towards the Practical Application of Near-Term Quantum Computers in Quantum Chemistry Simulations: A Problem Decomposition Approach


Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection


TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions


Trace norm regularization and faster inference for embedded speech recognition RNNs


TraceSim: A Method for Calculating Stack Trace Similarity


Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra


Tracing Complexity in Food Blogging Entries


Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation


Tracing patients' PLOD with mobile phones: Mitigation of epidemic risks through patients' locational open data


TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications


Tracking Cells and their Lineages via Labeled Random Finite Sets


Tracking Multiple Vehicles Using a Variational Radar Model


Tracking Skiers from the Top to the Bottom


TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild


TractSeg - Fast and accurate white matter tract segmentation


Tractable Approximate Gaussian Inference for Bayesian Neural Networks


Tractable Reinforcement Learning of Signal Temporal Logic Objectives


Tractable and Consistent Random Graph Models


Traction Adaptive Motion Planning at the Limits of Handling


Traction force microscopy with optimized regularization and automated Bayesian parameter selection for comparing cells


Traditional and Heavy-Tailed Self Regularization in Neural Network Models


Traffic Data Imputation using Deep Convolutional Neural Networks


Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars


Traffic flow optimization using a quantum annealer


TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios


TrailBlazer: Trajectory Control for Diffusion-Based Video Generation


Train Once, Test Anywhere: Zero-Shot Learning for Text Classification


Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN


Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings


Trainable Frontend For Robust and Far-Field Keyword Spotting


Trainable Greedy Decoding for Neural Machine Translation


Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach


Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain


Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs


Training Compute-Optimal Large Language Models


Training Deep Networks with Structured Layers by Matrix Backpropagation


Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization


Training Deeper Convolutional Networks with Deep Supervision


Training Language Models to Self-Correct via Reinforcement Learning


Training Large Neural Networks with Constant Memory using a New Execution Algorithm


Training Large-Scale News Recommenders with Pretrained Language Models in the Loop


Training Meta-Surrogate Model for Transferable Adversarial Attack


Training Millions of Personalized Dialogue Agents


Training Neural Networks Without Gradients: A Scalable ADMM Approach


Training Neural Response Selection for Task-Oriented Dialogue Systems


Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification


Training Probabilistic Spiking Neural Networks with First-to-spike Decoding


Training Region-based Object Detectors with Online Hard Example Mining


Training Spiking Neural Networks Using Lessons From Deep Learning


Training Vision Transformers for Image Retrieval


Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data


Training and Inference with Integers in Deep Neural Networks


Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation


Training of a Skull-Stripping Neural Network with efficient data augmentation


Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems


Training-Free Consistent Text-to-Image Generation


Training-free Transformer Architecture Search


Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training


Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM


Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning


Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval


TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation


TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression


TransLLaMa: LLM-based Simultaneous Translation System


TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search


TransNet V2: An effective deep network architecture for fast shot transition detection


TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing


TransNets: Learning to Transform for Recommendation


TransVG: End-to-End Visual Grounding with Transformers


Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift


Transcoding Billions of Unicode Characters per Second with SIMD Instructions


Transcribing Natural Languages for The Deaf via Neural Editing Programs


Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow


Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening


Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset


Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality


Transfer Learning for Illustration Classification


Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline


Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping


Transfer Learning of Artist Group Factors to Musical Genre Classification


Transfer Learning-based Road Damage Detection for Multiple Countries


Transferable Adversarial Attacks for Image and Video Object Detection


Transferring Knowledge across Learning Processes


Transformation-Grounded Image Generation Network for Novel 3D View Synthesis


Transformer Explainer: Interactive Learning of Text-Generative Models


Transformer Memory as a Differentiable Search Index


Transformer based Grapheme-to-Phoneme Conversion


Transformer-based HTR for Historical Documents


Transformer-based approach towards music emotion recognition from lyrics


TransformerFusion: Monocular RGB Scene Reconstruction using Transformers


Transformers over Directed Acyclic Graphs


Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering


Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models


Transformers with convolutional context for ASR


Transforming Gaussian Processes With Normalizing Flows


Transforming Question Answering Datasets Into Natural Language Inference Datasets


Transfusion: Understanding Transfer Learning for Medical Imaging


Transient Stability Analysis with Physics-Informed Neural Networks


Transit Timing Observations from Kepler. IX. Catalog of the Full Long-Cadence Data Set


Transition between vacuum and finite-density states in the infinite-dimensional Bose-Hubbard model with spatially inhomogeneous dissipation


Transition-Based Dependency Parsing with Stack Long Short-Term Memory


Translating Images to Road Network: A Sequence-to-Sequence Perspective


Translating a Math Word Problem to an Expression Tree


Translating neural signals to text using a Brain-Machine Interface


Translation Consistent Semi-supervised Segmentation for 3D Medical Images


Transmission Channel Analysis in Dynamic Models


Transport in Stark Many Body Localized Systems


Transverse Mercator with an accuracy of a few nanometers


Transverse bifurcation of viscous slow MHD shocks


Transverse momentum spectra and nuclear modification factors of charged particles in Xe-Xe collisions at $\sqrt{s_{\rm NN}}$ = 5.44 TeV


Treant: Training Evasion-Aware Decision Trees


Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation


Treatment Effects Estimation by Uniform Transformer


Tree bark re-identification using a deep-learning feature descriptor


Tree of Problems: Improving structured problem solving with compositionality


Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning


TreeGen: A Tree-Based Transformer Architecture for Code Generation


TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning


Treelets--An adaptive multi-scale basis for sparse unordered data


Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations


Trends in bird abundance differ among protected forests but not bird guilds


Trends in the elastic response of binary early transition metal nitrides


TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis


Triangle Generative Adversarial Networks


Triangulation Learning Network: from Monocular to Stereo 3D Object Detection


Trick or TReAT: Thematic Reinforcement for Artistic Typography


Trigger detection for adaptive scientific workflows using percentile sampling


Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers


Triplet Probabilistic Embedding for Face Verification and Clustering


Triplet-Center Loss for Multi-View 3D Object Retrieval


Triplet-based Deep Similarity Learning for Person Re-Identification


TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension


TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation


Trivializations for Gradient-Based Optimization on Manifolds


TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents


Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data


Tropical Geometry of Deep Neural Networks


Tropical Principal Component Analysis and its Application to Phylogenetics


TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data


Truncated Variational Expectation Maximization


Trust-based Multi-Robot Symbolic Motion Planning with a Human-in-the-Loop


TrustMark: Universal Watermarking for Arbitrary Resolution Images


TrustZero - open, verifiable and scalable zero-trust


Trusted Multi-View Classification with Dynamic Evidential Fusion


Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task


Trustworthy Refactoring via Decomposition and Schemes: A Complex Case Study


Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos


TubeR: Tubelet Transformer for Video Action Detection


Tubu-io Decentralized Application Development & Test Workbench


Tucker decomposition-based Temporal Knowledge Graph Completion


Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries


Tumor Radiogenomics with Bayesian Layered Variable Selection


Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App


Tunable Quantum Neural Networks for Boolean Functions


Tune: A Research Platform for Distributed Model Selection and Training


TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer


Tuning-free ridge estimators for high-dimensional generalized linear models


Tuplemax Loss for Language Identification


TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models


Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM


TuringAdvice: A Generative and Dynamic Evaluation of Language Use


Turkronicles: Diachronic Resources for the Fast Evolving Turkish Language


Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets


Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code


TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation


Tweets as impact indicators: Examining the implications of automated bot accounts on Twitter


Twelve Simple Algorithms to Compute Fibonacci Numbers


Twin Regularization for online speech recognition


Twin vector fields and independence of spectra for quadratic vector fields


TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval


Two procedures to flag radio frequency interference in the UV plane


Two sub-millimetre bright protoclusters bounding the epoch of peak star formation activity


Two- and Three-Body Decay Modes of SUSY Higgs Particles


Two-Dimensional Bose-Hubbard Model for Helium on Graphene


Two-Dimensional Strain Mapping with Scanning Precession Electron Diffraction: An Investigation into Data Analysis Routines


Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer


Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension


Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition


Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection


Two-dimensional optical quasicrystal potentials for ultracold atom experiments


Two-stage approach for the inference of the source of high-dimension and complex chemical data in forensic science


Two-stage stochastic approximation for dynamic rebalancing of shared mobility systems


Two-stream Encoder-Decoder Network for Localizing Image Forgeries


Two-structure thermodynamics for the TIP4P/2005 model of water covering supercooled and deeply stretched regions


Two-way sparsity for time-varying networks, with applications in genomics


Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling


Type II supernova spectral diversity I: Observations, sample characterization and spectral line evolution


Type-I Seesaw as the Common Origin of Neutrino Mass, Baryon Asymmetry, and the Electroweak Scale


TypeFly: Flying Drones with Large Language Model


U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation


U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting


U-Net Transformer: Self and Cross Attention for Medical Image Segmentation


U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina


U-Net: Machine Reading Comprehension with Unanswerable Questions


U-net architectures for fast prediction of incompressible laminar flows


UAFS: Uncertainty-Aware Feature Selection for Problems with Missing Data


UAV Localization Using Autoencoded Satellite Images


UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs


UCCA's Foundational Layer: Annotation Guidelines v2.1


UER: An Open-Source Toolkit for Pre-training Models


UFO-ViT: High Performance Linear Vision Transformer without Softmax


UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models


UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning


UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework


UNITY: Confronting Supernova Cosmology's Statistical and Systematic Uncertainties in a Unified Bayesian Framework


UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation


UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration


UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval


URIE: Universal Image Enhancement for Visual Recognition in the Wild


URSA: A Neural Network for Unordered Point Clouds Using Constellations


US Fatal Police Shooting Analysis and Prediction


USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems


USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions


USHER: Unbiased Sampling for Hindsight Experience Replay


UTSig: A Persian Offline Signature Dataset


UTxO- vs account-based smart contract blockchain programming paradigms


UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs


UVMULTIFIT: A versatile tool for fitting astronomical radio interferometric data


Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO


Ultrabroadband sound control with deep-subwavelength plasmacoustic metalayers


Ultralight Bosonic Field Mass Bounds from Astrophysical Black Hole Spin


Ultrasound Image Classification using ACGAN with Small Training Dataset


Uma an\'alise comparativa de ferramentas de an\'alise est\'atica para dete\c{c}\~ao de erros de mem\'oria


UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series


UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss


UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking


UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data


UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation


Unadversarial Examples: Designing Objects for Robust Vision


Unbalanced Optimal Transport through Non-negative Penalized Linear Regression


Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms


Unbiased Scene Graph Generation from Biased Training


Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy


Unbiased approximations of products of expectations


Unbounded Human Learning: Optimal Scheduling for Spaced Repetition


Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks


Uncertainty Calibration and its Application to Object Detection


Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation


Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow


Uncertainty Estimation for Molecules: Desiderata and Methods


Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data


Uncertainty Quantification of Collaborative Detection for Self-Driving


Uncertainty estimation for classification and risk prediction on medical tabular data


Uncertainty estimation under model misspecification in neural network regression


Uncertainty quantification using martingales for misspecified Gaussian processes


Uncertainty-Aware Attention for Reliable Interpretation and Prediction


Uncertainty-Aware Principal Component Analysis


Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series


Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble


Uncertainty-aware Self-supervised 3D Data Association


Uncertainty-aware and Data-efficient Cosmological Emulation using Gaussian Processes and PCA


Uncorrelated Modes of the Nonlinear Power Spectrum


Uncovering Hidden Challenges in Query-Based Video Moment Retrieval


Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation


Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts


Uncovering the Structural Fairness in Graph Contrastive Learning


Uncovering the structure of clinical EEG signals with self-supervised learning


Uncovering turbulent plasma dynamics via deep learning from partial observations


Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing


Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks


Understanding AdamW through Proximal Methods and Scale-Freeness


Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations


Understanding Dynamic Scenes using Graph Convolution Networks


Understanding Event-Generation Networks via Uncertainties


Understanding Hidden Memories of Recurrent Neural Networks


Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization


Understanding Instance-based Interpretability of Variational Auto-Encoders


Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective


Understanding Learned Models by Identifying Important Features at the Right Resolution


Understanding MIDI: A Painless Tutorial on Midi Format


Understanding NFT Price Moves through Tweets Keywords Analysis


Understanding Object Dynamics for Interactive Image-to-Video Synthesis


Understanding Regularized Spectral Clustering via Graph Conductance


Understanding Synthetic Gradients and Decoupled Neural Interfaces


Understanding Variational Inference in Function-Space


Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units


Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models


Understanding and Mitigating the Effect of Outliers in Fair Ranking


Understanding and Stabilizing GANs' Training Dynamics with Control Theory


Understanding intermediate layers using linear classifier probes


Understanding the H2/HI Ratio in Galaxies


Understanding the Modeling of Computer Network Delays using Neural Networks


Understanding the Multi-wavelength Thermal Dust Polarisation from the Orion Molecular Cloud in Light of the Radiative Torque Paradigm


Understanding the Origins of Bias in Word Embeddings


Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees


Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting


Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset


Understanding the role of predictive time delay and biased propagator in RAVE


Understanding video streaming algorithms in the wild


Underwater Camouflaged Object Tracking Meets Vision-Language SAM2


Unfolding the band structure of disordered solids: from bound states to high-mobility Kane fermions


Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images


UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation


UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding


UniDepth: Universal Monocular Metric Depth Estimation


UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy


UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding


UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining


UniScene: Unified Occupancy-centric Driving Scene Generation


UniSim: A Neural Closed-Loop Sensor Simulator


UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model


UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image


Unidentified Moving Objects in Next Generation Time Domain Surveys


Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association


Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields


Unified Framework for the Effective Rate Analysis of Wireless Communication Systems over MISO Fading Channels


Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement


Unified Mechanism of Atrial Fibrillation in a Simple Model


Unified Reasoning about Robustness Properties of Symbolic-Heap Separation Logic


Unified Recurrence Modeling for Video Action Anticipation


Unified Scaling Laws for Routed Language Models


Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition


Unified treatment of synchronization patterns in generalized networks with higher-order, multilayer, and temporal interactions


Uniform Inference in High-Dimensional Gaussian Graphical Models


Unifying Heterogeneous Classifiers with Distillation


Unifying Message Passing Algorithms Under the Framework of Constrained Bethe Free Energy Minimization


Unifying Segment Anything in Microscopy with Multimodal Large Language Model


Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales


Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models


Unifying distillation and privileged information


Unique continuation for the Helmholtz equation using stabilized finite element methods


Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers


Unitary Evolution Recurrent Neural Networks


Unite the People: Closing the Loop Between 3D and 2D Human Representations


Universal Adversarial Perturbations Generative Network for Speaker Recognition


Universal Adversarial Perturbations for Vision-Language Pre-trained Models


Universal Deep Beamformer for Variable Rate Ultrasound Imaging


Universal Language Model Fine-Tuning with Subword Tokenization for Polish


Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark


Universal Non-Intrusive Load Monitoring (UNILM) Using Filter Pipelines, Probabilistic Knapsack, and Labelled Partition Maps


Universal Physical Camouflage Attacks on Object Detectors


Universal Successor Features Approximators


Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning


Universal Visual Decomposer: Long-Horizon Manipulation Made Easy


Universal quantum circuit for n-qubit quantum gate: A programmable quantum gate


Universal, transferable and targeted adversarial attacks


UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition


Universality in ultradilute liquid Bose-Bose mixtures


Unknotting numbers of 2-spheres in the 4-sphere


Unknown Object Segmentation from Stereo Images


Unleash the Potential of CLIP for Video Highlight Detection


Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes


Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones


Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning


Unpaired Image Super-Resolution using Pseudo-Supervision


Unpaired Image-to-Image Translation using Adversarial Consistency Loss


Unpaired Majorana fermions in quantum wires


Unpaired Photo-to-Caricature Translation on Faces in the Wild


Unprocessing Images for Learned Raw Denoising


UnrealCV: Connecting Computer Vision to Unreal Engine


Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings


Unrestricted Adversarial Examples via Semantic Manipulation


Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance


Unseen Class Discovery in Open-world Classification


Unseen Object Instance Segmentation for Robotic Environments


Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network


Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder


Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images


Unsupervised Attention-guided Image to Image Translation


Unsupervised Audio-Visual Lecture Segmentation


Unsupervised Audiovisual Synthesis via Exemplar Autoencoders


Unsupervised Body Part Regression via Spatially Self-ordering Convolutional Neural Networks


Unsupervised Calibration through Prior Adaptation for Text Classification using Large Language Models


Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network


Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency


Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining


Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation


Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize


Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders


Unsupervised Discovery of Object Landmarks as Structural Representations


Unsupervised Domain Adaptation For Plant Organ Counting


Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images


Unsupervised Domain Adaptation of Black-Box Source Models


Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling


Unsupervised Domain Adaptation via Calibrating Uncertainties


Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency


Unsupervised Evaluation of Code LLMs with Round-Trip Correctness


Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion


Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation


Unsupervised Grounding of Plannable First-Order Logic Representation from Images


Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?


Unsupervised Holistic Image Generation from Key Local Patches


Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning


Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks


Unsupervised Image to Sequence Translation with Canvas-Drawer Networks


Unsupervised Image-to-Image Translation Networks


Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity


Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision


Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction


Unsupervised Label Noise Modeling and Loss Correction


Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders


Unsupervised Learning by Predicting Noise


Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds


Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach


Unsupervised Learning of 3D Structure from Images


Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training


Unsupervised Learning of Debiased Representations with Pseudo-Attributes


Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data


Unsupervised Learning of GMM with a Uniform Background Component


Unsupervised Learning of Important Objects from First-Person Videos


Unsupervised Learning of View-invariant Action Representations


Unsupervised Learning of Visual Features by Contrasting Cluster Assignments


Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles


Unsupervised Lemmatization as Embeddings-Based Word Clustering


Unsupervised Moving Object Detection via Contextual Information Separation


Unsupervised Multi-Source Domain Adaptation for Person Re-Identification


Unsupervised Multi-source Domain Adaptation Without Access to Source Data


Unsupervised Multilingual Alignment using Wasserstein Barycenter


Unsupervised Natural Language Generation with Denoising Autoencoders


Unsupervised Occupancy Learning from Sparse Point Cloud


Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots


Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy


Unsupervised Person Re-identification via Softened Similarity Learning


Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks


Unsupervised Predictive Memory in a Goal-Directed Agent


Unsupervised Representation Learning by Predicting Random Distances


Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling


Unsupervised Sentence Simplification Using Deep Semantics


Unsupervised Shape and Pose Disentanglement for 3D Meshes


Unsupervised Single Image Underwater Depth Estimation


Unsupervised Source Separation By Steering Pretrained Music Models


Unsupervised Statistical Machine Translation


Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion


Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos


Unsupervised Universal Image Segmentation


Unsupervised Video Object Segmentation for Deep Reinforcement Learning


Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach


Unsupervised Visual Representation Learning by Context Prediction


Unsupervised Visuomotor Control through Distributional Planning Networks


Unsupervised Word Segmentation with Bi-directional Neural Language Model


Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks


Unsupervised learning of object landmarks by factorized spatial embeddings


Unsupervised learning using topological data augmentation


Unsupervised object-centric video generation and decomposition in 3D


Unsupervised speech representation learning using WaveNet autoencoders


Unveiling phase transitions with machine learning


Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts


Updated measurement method and uncertainty budget for direct emissivity measurements at UPV/EHU


Updating Singular Value Decomposition for Rank One Matrix Perturbation


Uplift Modeling with Multiple Treatments and General Response Types


Upper bound on the duration of quantum jumps


Upper-body free-breathing Magnetic Resonance Fingerprinting applied to the quantification of water T1 and fat fraction


Upsampling artifacts in neural audio synthesis


Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution


Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks


Urban Flood Drifters (UFDs): identification, classification and characterisation


Urban hierarchy and spatial diffusion over the innovation life cycle


UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields


Urchin: A Reverse Ray Tracer for Astrophysical Applications


User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams


User Modeling in Model-Driven Engineering: A Systematic Literature Review


User Preference-aware Fake News Detection


User's guide to Monte Carlo methods for evaluating path integrals


User-Space Emulation Framework for Domain-Specific SoC Design


Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer


Using Artificial Intelligence to Shed Light on the Star of Biscuits: The Jaffa Cake


Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation


Using B cell receptor lineage structures to predict affinity


Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies


Using CMOS Sensors in a Cellphone for Gamma Detection and Classification


Using Cadabra for tensor computations in General Relativity


Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market


Using Deep Learning for Image-Based Plant Disease Detection


Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments


Using Firing-Rate Dynamics to Train Recurrent Networks of Spiking Model Neurons


Using Gaia DR2 to Constrain Local Dark Matter Density and Thin Dark Disk


Using Minimum Path Cover to Boost Dynamic Programming on DAGs: Co-Linear Chaining Extended


Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?


Using Natural Language for Reward Shaping in Reinforcement Learning


Using Python to Dive into Signalling Data with CellNOpt and BioServices


Using R for data analysis and graphing in an introductory physics laboratory


Using Restart Heuristics to Improve Agent Performance in Angry Birds


Using Sampled Network Data With The Autologistic Actor Attribute Model


Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias


Using Spectral Submanifolds for Optimal Mode Selection in Model Reduction


Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models


Using deep learning to reveal the neural code for images in primary visual cortex


Using gradient directions to get global convergence of Newton-type methods


Using latent space regression to analyze and leverage compositionality in GANs


Using physical features of protein core packing to distinguish real proteins from decoys


Using the Fast Fourier Transform in Binding Free Energy Calculations


Using the basin entropy to explore bifurcations


Util::Lookup: Exploiting key decoding in cryptographic libraries


Utilitarian Welfare and Representation Guarantees of Approval-Based Multiwinner Rules


Utility-efficient Differentially Private K-means Clustering based on Cluster Merging


Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer


Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference


Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series


Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020


Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History


V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control


V2CE: Video to Continuous Events Simulator


V3Det: Vast Vocabulary Visual Detection Dataset


V4D:4D Convolutional Neural Networks for Video-level Representation Learning


VACE: All-in-One Video Creation and Editing


VAD: Vectorized Scene Representation for Efficient Autonomous Driving


VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization


VALHALLA: Visual Hallucination for Machine Translation


VConv-DAE: Deep Volumetric Shape Learning Without Object Labels


VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detection


VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model


VFA: Vision Frequency Analysis of Foundation Models and Human


VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive Sampling


VGGSound: A Large-scale Audio-Visual Dataset


VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising


VINS: Visual Search for Mobile User Interface Design


VISinger 2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by Digital Signal Processing Synthesizer


VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points


VITS : Variational Inference Thompson Sampling for contextual bandits


VLASE: Vehicle Localization by Aggregating Semantic Edges


VLDBench: Vision Language Models Disinformation Detection Benchmark


VLG-Net: Video-Language Graph Matching Network for Video Grounding


VLGrammar: Grounded Grammar Induction of Vision and Language


VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues


VM-MAD: a cloud/cluster software for service-oriented academic environments


VMFormer: End-to-End Video Matting with Transformer


VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera


VR-NeRF: High-Fidelity Virtualized Walkable Spaces


VTC: Improving Video-Text Retrieval with User Comments


VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers


VULCAN: an Open-Source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres


V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians


Validating Hyperspectral Image Segmentation


Validating Planck SZ2 Clusters with Optical Counterparts


Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing


Validation of edge turbulence codes against the TCV-X21 diverted L-mode reference case


Value of Information Analysis for External Validation of Risk Prediction Models


Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis


Value-Decomposition Networks For Cooperative Multi-Agent Learning


Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts


ValueNet: A Natural Language-to-SQL System that Learns from Database Information


Van Vleck correction generalization for complex correlators with multilevel quantization


Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models


Variable projection methods for an optimized dynamic mode decomposition


Variable selection with false discovery rate control in deep neural networks


Variation-based Cause Effect Identification


Variational Attention for Sequence-to-Sequence Models


Variational Autoencoders and Nonlinear ICA: A Unifying Framework


Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System


Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems


Variational Bayes In Private Settings (VIPS)


Variational Bayes image restoration with compressive autoencoders


Variational Bayes under Model Misspecification


Variational Boosting: Iteratively Refining Posterior Approximations


Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems


Variational Denoising Network: Toward Blind Noise Modeling and Removal


Variational Diffusion Autoencoders with Random Walk Sampling


Variational Heteroscedastic Volatility Model


Variational Inference based on Robust Divergences


Variational Integrator Graph Networks for Learning Energy Conserving Dynamical Systems


Variational Item Response Theory: Fast, Accurate, and Expressive


Variational Learning on Aggregate Outputs with Gaussian Processes


Variational Methods for Normal Integration


Variational Mixture Models with Gamma or inverse-Gamma components


Variational Mode Decomposition for estimating critical reflected internal wave in stratified fluid


Variational Positive-incentive Noise: How Noise Benefits Models


Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments


Variational Quantum Circuits for Quantum State Tomography


Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimization Methods


Variational Reasoning for Question Answering with Knowledge Graph


Variational Recurrent Neural Networks for Graph Classification


Variational auto-encoding of protein sequences


Variational cross-validation of slow dynamical modes in molecular kinetics


Variational dynamics as a ground-state problem on a quantum computer


Variational matrix product ansatz for dispersion relations


Variational models for signal processing with Graph Neural Networks


Varying-coefficient models for dynamic networks


VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction


Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models


Vector Diffusion Maps and the Connection Laplacian


Vector Quantile Regression: An Optimal Transport Approach


Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting


Vehicle Pose and Shape Estimation through Multiple Monocular Vision


VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images


VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts


Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing


Verifiable Reinforcement Learning via Policy Extraction


Verification of Deep Convolutional Neural Networks Using ImageStars


VerilogReader: LLM-Aided Hardware Test Generation


Verisig: verifying safety properties of hybrid systems with neural network controllers


Versatile Digital GHz Phase Lock for External Cavity Diode Lasers


Versinus: a visualization method for graphs in evolution


Very Long Term Field of View Prediction for 360-degree Video Streaming


VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis


ViCo: Word Embeddings from Visual Co-occurrences


ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation


ViR: Towards Efficient Vision Retention Backbones


ViTs for SITS: Vision Transformers for Satellite Image Time Series


ViViD: Video Virtual Try-on using Diffusion Models


Vicinal and categorical domain adaptation


VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?


Video (language) modeling: a baseline for generative models of natural videos


Video Anomaly Detection by Estimating Likelihood of Representations


Video Compression through Image Interpolation


Video Corpus Moment Retrieval with Contrastive Learning


Video Depth Anything: Consistent Depth Estimation for Super-Long Videos


Video Depth Estimation by Fusing Flow-to-Depth Proposals


Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions


Video Mask Transfiner for High-Quality Video Instance Segmentation


Video Object Detection with an Aligned Spatial-Temporal Memory


Video Object Segmentation with Re-identification


Video Prediction Models as Rewards for Reinforcement Learning


Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations


Video Probabilistic Diffusion Models in Projected Latent Space


Video Tester -- A multiple-metric framework for video quality assessment over IP networks


Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes


Video-Mined Task Graphs for Keystep Recognition in Instructional Videos


Video-Text Pre-training with Learned Regions


VideoAgent: Long-form Video Understanding with Large Language Model as Agent


VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning


VideoLSTM Convolves, Attends and Flows for Action Recognition


VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models


VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation


VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild


VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks


View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network


ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis


Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data


Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian


Vine copula mixture models and clustering for non-Gaussian data


Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos


Virial Black Hole Mass Estimates for 280,000 AGNs from the SDSS Broad-Band Photometry and Single Epoch Spectra


Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark


Virtual Augmentation Supported Contrastive Learning of Sentence Representations


Virtual Frame Technique: Ultrafast Imaging with Any Camera


Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments


Virtual Multi-view Fusion for 3D Semantic Segmentation


Virtual excitations in the ultra-strongly-coupled spin-boson model: physical results from unphysical modes


Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning


Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning


Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough


Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization


VisTabNet: Adapting Vision Transformers for Tabular Data


Viscoelastic Constitutive Artificial Neural Networks (vCANNs) $-$ a framework for data-driven anisotropic nonlinear finite viscoelasticity


Visibility based angular power spectrum estimation in low frequency radio interferometric observations


Visible Watermark Removal via Self-calibrated Localization and Background Refinement


Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model


Vision Transformer for NeRF-Based View Synthesis from a Single Input Image


Vision Transformers for Single Image Dehazing


Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff


Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding


Vision-Language Model Based Handwriting Verification


Vision-Language Models in Remote Sensing: Current Progress and Future Trends