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06/01/2023
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Learned Image Compression (LIC) has recently become the trending techniq...
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06/14/2022
Task Transfer and Domain Adaptation for Zero-Shot Question Answering
Pretrained language models have shown success in various areas of natura...
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06/07/2022
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
The existence of multiple load-solution mappings of non-convex AC-OPF pr...
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12/15/2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Ensuring solution feasibility is a key challenge in developing Deep Neur...
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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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11/15/2021
Calculating Question Similarity is Enough:A New Method for KBQA Tasks
Knowledge Base Question Answering (KBQA) aims to answer natural language...
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07/15/2021
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Pretrained Language Models (PLMs) have achieved tremendous success in na...
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03/22/2021
DeepOPF-V: Solving AC-OPF Problems Efficiently
AC optimal power flow (AC-OPF) problems need to be solved more frequentl...
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07/09/2020
Multi-Granularity Modularized Network for Abstract Visual Reasoning
Abstract visual reasoning connects mental abilities to the physical worl...
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07/03/2020
Improving auto-encoder novelty detection using channel attention and entropy minimization
Novelty detection is a important research area which mainly solves the c...
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07/02/2020
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
The AC-OPF problem is the key and challenging problem in the power syste...
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10/30/2019
