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08/29/2023
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints
Unlike cloud-based deep learning models that are often large and uniform...
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06/20/2023
Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method
Graph Representation Learning (GRL) is an influential methodology, enabl...
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06/15/2023
Inverse Scaling: When Bigger Isn't Better
Work on scaling laws has found that large language models (LMs) show pre...
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06/12/2023
Optimizing Investment Strategies with Lazy Factor and Probability Weighting: A Price Portfolio Forecasting and Mean-Variance Model with Transaction Costs Approach
Market traders often engage in the frequent transaction of volatile asse...
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12/02/2022
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
The explosive growth of various types of big data and advances in AI tec...
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10/21/2022
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
The formalization of existing mathematical proofs is a notoriously diffi...
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07/28/2022
RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid Attention Mechanisms for Pavement Crack Segmentation
The acquisition and evaluation of pavement surface data play an essentia...
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11/16/2021
DataCLUE: A Benchmark Suite for Data-centric NLP
Data-centric AI has recently proven to be more effective and high-perfor...
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03/24/2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
Understanding and creating mathematics using natural mathematical langua...
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01/19/2021
Continual Deterioration Prediction for Hospitalized COVID-19 Patients
Leading up to August 2020, COVID-19 has spread to almost every country i...
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09/03/2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Everyone makes mistakes. So do human annotators when curating labels for...
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09/01/2019
