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06/27/2023
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
Code search is a task to find programming codes that semantically match ...
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06/25/2023
Im2win: Memory Efficient Convolution On SIMD Architectures
Convolution is the most expensive operation among neural network operati...
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06/25/2023
Im2win: An Efficient Convolution Paradigm on GPU
Convolution is the most time-consuming operation in deep neural network ...
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06/05/2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
Most advanced unsupervised anomaly detection (UAD) methods rely on model...
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05/24/2023
Harmonic Measures and Numerical Computation of Cauchy Problems for Laplace Equations
It is well known that Cauchy problem for Laplace equations is an ill-pos...
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05/08/2023
Code Execution with Pre-trained Language Models
Code execution is a fundamental aspect of programming language semantics...
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04/13/2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Evaluating the general abilities of foundation models to tackle human-le...
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03/29/2023
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Artificial Intelligence (AI) has made incredible progress recently. On t...
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03/13/2023
InferFix: End-to-End Program Repair with LLMs
Software development life cycle is profoundly influenced by bugs: their ...
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10/19/2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
This paper aims to tackle the interactive behavior prediction task, and ...
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07/27/2022
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data
For numerous parameter and state estimation problems, assimilating new d...
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05/28/2022
Discrimination-Based Double Auction for Maximizing Social Welfare in the Electricity and Heating Market Considering Privacy Preservation
This paper proposes a doubled-sided auction mechanism with price discrim...
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03/17/2022
CodeReviewer: Pre-Training for Automating Code Review Activities
Code review is an essential part to software development lifecycle since...
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03/15/2022
ReACC: A Retrieval-Augmented Code Completion Framework
Code completion, which aims to predict the following code token(s) accor...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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01/26/2022
Learning to Recommend Method Names with Global Context
In programming, the names for the program entities, especially for the m...
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09/17/2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Statistical language modeling and translation with transformers have fou...
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07/25/2021
Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator
Evolutionary generative adversarial networks (E-GAN) attempts to allevia...
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04/05/2021
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Producing the embedding of a sentence in an unsupervised way is valuable...
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01/27/2021
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation
Generative Adversarial Networks (GAN) is an adversarial model, and it ha...
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11/11/2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal policy optimization (PPO) algorithm is a deep reinforcement lea...
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09/22/2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Evaluation metrics play a vital role in the growth of an area as it defi...
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09/17/2020
GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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07/01/2020
Regularly Updated Deterministic Policy Gradient Algorithm
Deep Deterministic Policy Gradient (DDPG) algorithm is one of the most w...
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06/19/2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration
Deep reinforcement learning has been applied more and more widely nowada...
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04/09/2020
On the asymptotical regularization for linear inverse problems in presence of white noise
We interpret steady linear statistical inverse problems as artificial dy...
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12/13/2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
Reinforcement learning, evolutionary algorithms and imitation learning a...
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06/03/2018
Analysis of regularized Nyström subsampling for regression functions of low smoothness
This paper studies a Nyström type subsampling approach to large kernel l...
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12/06/2017