:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xia, Haotian, Tracy, Rhys, Zhao, Yun, Fraisse, Erwan, Wang, Yuan-Fang, Petzold, Linda
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2209.13846
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Vanishing Gradient Problem for Stiff Neural Differential Equations
by: Fronk, Colby, et al.
Published: (2025)

Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods
by: Fronk, Colby, et al.
Published: (2024)

Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
by: Iannario, Maria, et al.
Published: (2025)

VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
by: Xu, Zelai, et al.
Published: (2025)

Language and Multimodal Models in Sports: A Survey of Datasets and Applications
by: Xia, Haotian, et al.
Published: (2024)

NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
by: Tang, Mingni, et al.
Published: (2025)

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization
by: Deekeswar, Harshavardhanan
Published: (2026)

Towards a Theory of AI Personhood
by: Ward, Francis Rhys
Published: (2025)

Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
by: Xia, Yinan, et al.
Published: (2026)

Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches
by: Ganeriwala, Parth, et al.
Published: (2025)

Very Basics of Tensors with Graphical Notations: Unfolding, Calculations, and Decompositions
by: Yokota, Tatsuya
Published: (2024)

Continuous-Time Analysis of Adaptive Optimization and Normalization
by: Gould, Rhys, et al.
Published: (2024)

Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise
by: Karchkhadze, Tornike, et al.
Published: (2024)

CVChess: A Deep Learning Framework for Converting Chessboard Images to Forsyth-Edwards Notation
by: Abeykoon, Luthira, et al.
Published: (2025)

Machine Learning for the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks
by: Kitamoto, Asanobu, et al.
Published: (2024)

AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
by: Zhao, Boran, et al.
Published: (2025)

Joint Training Across Multiple Activation Sparsity Regimes
by: Wang, Haotian
Published: (2026)

SportQA: A Benchmark for Sports Understanding in Large Language Models
by: Xia, Haotian, et al.
Published: (2024)

Neural Network approximation power on homogeneous and heterogeneous reaction-diffusion equations
by: Feng, Haotian
Published: (2025)

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis
by: Xu, Dongwei, et al.
Published: (2024)

Large language models as uncertainty-calibrated optimizers for experimental discovery
by: Ranković, Bojana, et al.
Published: (2025)

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets
by: Jin, Zhihua, et al.
Published: (2024)

AtomBench: A Benchmark for Generative Atomic Structure Models using GPT, Diffusion, and Flow Architectures
by: Campbell, Charles Rhys, et al.
Published: (2025)

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
by: Ma, Shusen, et al.
Published: (2025)

CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)

Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data
by: Genans, Ferdinand, et al.
Published: (2026)

FairHome: A Fair Housing and Fair Lending Dataset
by: Bagalkotkar, Anusha, et al.
Published: (2024)

Distilling Long-tailed Datasets
by: Zhao, Zhenghao, et al.
Published: (2024)

EPO: Hierarchical LLM Agents with Environment Preference Optimization
by: Zhao, Qi, et al.
Published: (2024)

Opportunities of Reinforcement Learning in South Africa's Just Transition
by: Formanek, Claude, et al.
Published: (2024)

SoFlow: Solution Flow Models for One-Step Generative Modeling
by: Luo, Tianze, et al.
Published: (2025)

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
by: Yuan, Shen, et al.
Published: (2024)

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
by: Yi, Jinhui, et al.
Published: (2025)

Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
by: Yi, Jinhui, et al.
Published: (2025)

Optimize Cardinality Estimation Model Pretraining by Simplifying the Training Datasets
by: Fang, Boyang
Published: (2025)

Adaptive SGD with Line-Search and Polyak Stepsizes: Nonconvex Convergence and Accelerated Rates
by: Wu, Haotian
Published: (2025)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
by: Nippani, Abhinav, et al.
Published: (2023)

HYVE: Hybrid Vertex Encoder for Neural Distance Fields
by: Jeske, Stefan Rhys, et al.
Published: (2023)

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
by: Tang, Jialu, et al.
Published: (2024)