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Showing 401–450 of 1618 papers

TitleStatusHype
A Set Theoretic Approach for Knowledge Representation: the Representation Part—0
Conditionally-additive-noise Models for Structure Learning—0
Conditional Value at Risk and Partial Moments for the Metalog Distributions—0
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators—0
A simple method for estimating the Lorenz curve—0
Constrained 1-Spectral Clustering—0
3D Modular Microrobots: Micro-Origami Cubes with Integrated Si Chips Dive, Communicate, Flash Programs, and Form Collectives—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
Construction Identification and Disambiguation Using BERT: A Case Study of NPN—0
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data—0
Aggregation and Closed-Form Results for Nonhomothetic CES Preferences—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Context-Efficient Retrieval with Factual Decomposition—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading—0
Continuity and Monotonicity of Preferences and Probabilistic Equivalence—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Continuous Event-Line Constraint for Closed-Form Velocity Initialization—0
Contour-based Interactive Segmentation—0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG—0
Closed-form Estimators for High-dimensional Generalized Linear Models—0
Control of distributed-parameter systems using normal forms: An introduction—0
Convergence analysis and acceleration of the smoothing methods for solving extensive-form games—0
Convergence of Monte Carlo Tree Search in Simultaneous Move Games—0
Converting the Suggested Upper Merged Ontology to Typed First-order Form—0
A survey on algorithms for Nash equilibria in finite normal-form games—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Convexification of Learning from Constraints—0
Asymptotically Optimal Closed-Form Phase Configuration of 1-bit RISs via Sign Alignment—0
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects—0
Convolutional Sparse Representations with Gradient Penalties—0
Co-Operation as an Asymmetric Form of Human-Computer Creativity. Case: Peace Machine—0
Copeland Dueling Bandits—0
An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms—0
Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint—0
Closed-form estimation and inference for panels with attrition and refreshment samples—0
Closed-Form EGN Model with Comprehensive Raman Support—0
Covering a sentence in form and meaning with fewer retrieved sentences—0
Credit Risk: Simple Closed Form Approximate Maximum Likelihood Estimator—0
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family—0
Cursed Sequential Equilibrium—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
Atomic Self-Consistency for Better Long Form Generations—0
DANGNT@UIT.VNU-HCM at SemEval 2019 Task 1: Graph Transformation System from Stanford Basic Dependencies to Universal Conceptual Cognitive Annotation (UCCA)—0
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks—0
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics—0
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries—0
A note on the adjoint method for neural ordinary differential equation network—0
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