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09/15/2023
P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification
In recent years, two time series classification models, ROCKET and MINIR...
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09/12/2023
HAMUR: Hyper Adapter for Multi-Domain Recommendation
Multi-Domain Recommendation (MDR) has gained significant attention in re...
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09/05/2023
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation
Click-Through Rate (CTR) prediction is a fundamental technique in recomm...
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09/05/2023
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Predicting vehicle trajectories is crucial for ensuring automated vehicl...
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08/17/2023
PMET: Precise Model Editing in a Transformer
Model editing techniques modify a minor proportion of knowledge in Large...
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07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
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06/05/2023
A Static Evaluation of Code Completion by Large Language Models
Large language models trained on code have shown great potential to incr...
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03/09/2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
ML-powered code generation aims to assist developers to write code in a ...
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10/26/2022
Multi-lingual Evaluation of Code Generation Models
We present MBXP, an execution-based code completion benchmark in 10+ pro...
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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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10/10/2021
Hard instance learning for quantum adiabatic prime factorization
Prime factorization is a difficult problem with classical computing, who...
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10/07/2021
Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis
Aggregated stochastic characteristics of geographically distributed wind...
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09/15/2021
Fermion Sampling Made More Efficient
Fermion sampling is to generate probability distribution of a many-body ...
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08/25/2020
Modeling and Analysis of Excess Commuting with Trip Chains
Commuting, like other types of human travel, is complex in nature, such ...
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12/01/2019
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Although deep neural networks generally have fixed network structures, t...
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12/27/2018
Reinforcement learning architecture for automated quantum-adiabatic-algorithm design
Quantum algorithm design lies in the hallmark of applications of quantum...
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11/26/2018
Which One to Go: Security and Usability Evaluation of Mid-Air Gestures
With the emerging of touch-less human-computer interaction techniques an...
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11/21/2018
Validating the Contextual Information of Outdoor Images for Photo Misuse Detection
The contextual information (i.e., the time and location) in which a phot...
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08/27/2018
Review Helpfulness Assessment based on Convolutional Neural Network
In this paper we describe the implementation of a convolutional neural n...
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08/08/2018
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
Binary code analysis allows analyzing binary code without having access ...
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06/01/2018
Quantum Information Scrambling Through a High-Complexity Operator Mapping
Recently, quantum information scrambling has attracted much attention am...
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03/16/2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Despite the popularity of deep learning, structure learning for deep mod...
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03/14/2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Sparse connectivity is an important factor behind the success of convolu...
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03/14/2018
