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08/29/2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification
Text classification is one of the most imperative tasks in natural langu...
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06/04/2023
Optimal neighbourhood selection in structural equation models
We study the optimal sample complexity of neighbourhood selection in lin...
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05/25/2023
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
In this paper, we propose a novel language-guided 3D arbitrary neural st...
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02/17/2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
Neural sequence labeling (NSL) aims at assigning labels for input langua...
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10/24/2022
OSS Mentor A framework for improving developers contributions via deep reinforcement learning
In open source project governance, there has been a lot of concern about...
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10/17/2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
Few-shot Named Entity Recognition (NER) aims to identify named entities ...
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05/27/2022
Understanding Long Programming Languages with Structure-Aware Sparse Attention
Programming-based Pre-trained Language Models (PPLMs) such as CodeBERT h...
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05/11/2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Prompt-based fine-tuning has boosted the performance of Pre-trained Lang...
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05/06/2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
Extractive Question Answering (EQA) is one of the most important tasks i...
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01/25/2022
Optimal estimation of Gaussian DAG models
We study the optimal sample complexity of learning a Gaussian directed a...
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12/11/2021
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
In this paper, we study knowledge tracing in the domain of programming e...
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11/01/2021
Principles towards Real-Time Simulation of Material Point Method on Modern GPUs
Physics-based simulation has been actively employed in generating offlin...
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10/12/2021
Efficient Bayesian network structure learning via local Markov boundary search
We analyze the complexity of learning directed acyclic graphical models ...
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10/10/2021
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Greedy algorithms have long been a workhorse for learning graphical mode...
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08/03/2021
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
We present InferWiki, a Knowledge Graph Completion (KGC) dataset that im...
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07/26/2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
Meta-learning has emerged as a trending technique to tackle few-shot tex...
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11/29/2020
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner
Author disambiguation arises when different authors share the same name,...
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11/27/2020
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG...
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07/06/2020
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition
Printed Mathematical expression recognition (PMER) aims to transcribe a ...
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06/22/2020
A polynomial-time algorithm for learning nonparametric causal graphs
We establish finite-sample guarantees for a polynomial-time algorithm fo...
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11/18/2019
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
We propose Hierarchical Optimization Time Integration (HOT) for efficien...
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07/08/2019
Improving Neural Relation Extraction with Implicit Mutual Relations
Relation extraction (RE) aims at extracting the relation between two ent...
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10/16/2018
QuanFuzz: Fuzz Testing of Quantum Program
Nowadays, quantum program is widely used and quickly developed. However,...
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08/15/2017