b'Meng Fang'

research

∙ 05/30/2023

Dynamic Sparsity Is Channel-Level Sparsity Learner

Sparse training has received an upsurging interest in machine learning d...

1 Lu Yin, et al. ∙

research

∙ 05/30/2023

Are Large Kernels Better Teachers than Transformers for ConvNets?

This paper reveals a new appeal of the recently emerged large-kernel Con...

4 Tianjin Huang, et al. ∙

research

∙ 05/18/2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Warning: This paper contains content that may be offensive or upsetting....

7 Jiaxu Zhao, et al. ∙

research

∙ 05/15/2023

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

In this study, we analyze NLG automatic metrics based on whether human e...

6 Iftitahu Ni'mah, et al. ∙

research

∙ 05/06/2023

A Minimal Approach for Natural Language Action Space in Text-based Games

Text-based games (TGs) are language-based interactive environments for r...

0 Dongwon Kelvin Ryu, et al. ∙

research

∙ 11/28/2022

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets

Recent works have impressively demonstrated that there exists a subnetwo...

12 Tianjin Huang, et al. ∙

research

∙ 11/15/2022

A Survey for Efficient Open Domain Question Answering

Open domain question answering (ODQA) is a longstanding task aimed at an...

16 Qin Zhang, et al. ∙

research

∙ 10/27/2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

We present Twin Answer Sentences Attack (TASA), an adversarial attack me...

0 Yu Cao, et al. ∙

research

∙ 07/16/2022

Learning Granularity-Unified Representations for Text-to-Image Person Re-identification

Text-to-image person re-identification (ReID) aims to search for pedestr...

0 Zhiyin Shao, et al. ∙

research

∙ 07/04/2022

Discourse-Aware Graph Networks for Textual Logical Reasoning

Textual logical reasoning, especially question answering (QA) tasks with...

0 Yinya Huang, et al. ∙

research

∙ 05/30/2022

Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training

Recent works on sparse neural network training (sparse training) have sh...

0 Lu Yin, et al. ∙

research

∙ 05/22/2022

Phrase-level Textual Adversarial Attack with Label Preservation

Generating high-quality textual adversarial examples is critical for inv...

10 Yibin Lei, et al. ∙

research

∙ 04/21/2022

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

Recent work incorporates pre-trained word embeddings such as BERT embedd...

0 Zihan Zhang, et al. ∙

research

∙ 04/21/2022

A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation

Towards building intelligent dialogue agents, there has been a growing i...

0 Yu Cao, et al. ∙

research

∙ 09/21/2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning

Deep reinforcement learning provides a promising approach for text-based...

4 Yunqiu Xu, et al. ∙

research

∙ 08/27/2021

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection

The ability to detect Out-of-Domain (OOD) inputs has been a critical req...

21 Iftitahu Ni'mah, et al. ∙

research

∙ 07/09/2021

Safe Exploration by Solving Early Terminated MDP

Safe exploration is crucial for the real-world application of reinforcem...

0 Hao Sun, et al. ∙

research

∙ 07/01/2021

MHER: Model-based Hindsight Experience Replay

Solving multi-goal reinforcement learning (RL) problems with sparse rewa...

0 Rui Yang, et al. ∙

research

∙ 03/26/2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Recent QA with logical reasoning questions requires passage-level relati...

0 Yinya Huang, et al. ∙

research

∙ 03/02/2021

Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation

Dialogue generation models face the challenge of producing generic and r...

0 Yu Cao, et al. ∙

research

∙ 12/24/2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement

When answering a question, people often draw upon their rich world knowl...

0 Yinya Huang, et al. ∙

research

∙ 11/27/2020

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game

StarCraft, one of the most difficult esport games with long-standing his...

10 Lei Han, et al. ∙

research

∙ 11/25/2020

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MA...

17 Peng Sun, et al. ∙

research

∙ 10/22/2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

We study reinforcement learning (RL) for text-based games, which are int...

0 Yunqiu Xu, et al. ∙

research

∙ 10/16/2020

On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration

Imitation learning from observation (LfO) is more preferable than imitat...

0 Zhihao Cheng, et al. ∙

research

∙ 10/15/2020

Pretrained Language Models for Dialogue Generation with Multiple Input Sources

Large-scale pretrained language models have achieved outstanding perform...

0 Yu Cao, et al. ∙

research

∙ 11/13/2019

Unsupervised Domain Adaptation on Reading Comprehension

Reading comprehension (RC) has been studied in a variety of datasets wit...

0 Yu Cao, et al. ∙

research

∙ 09/10/2019

A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

Recent reinforcement learning algorithms for task-oriented dialogue syst...

0 Yutai Hou, et al. ∙

research

∙ 07/26/2019

Learning to Solve a Rubik's Cube with a Dexterous Hand

We present a learning-based approach to solving a Rubik's cube with a mu...

0 Tingguang Li, et al. ∙

research

∙ 07/20/2019

Arena: a toolkit for Multi-Agent Reinforcement Learning

We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...

19 Qing Wang, et al. ∙

research

∙ 07/06/2019

Revisiting Metric Learning for Few-Shot Image Classification

The goal of few-shot learning is to recognize new visual concepts with j...

2 Xiaomeng Li, et al. ∙

research

∙ 04/10/2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

Multi-hop reasoning question answering requires deep comprehension of re...

0 Yu Cao, et al. ∙

research

∙ 09/09/2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective

Recent studies have highlighted that deep neural networks (DNNs) are vul...

0 Yali Du, et al. ∙

research

∙ 05/02/2018

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues

In this paper, we comprehensively describe the methodology of our submis...

0 Songyou Peng, et al. ∙

research

∙ 08/08/2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Active learning aims to select a small subset of data for annotation suc...

0 Meng Fang, et al. ∙

research

∙ 05/01/2017

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary

Cross-lingual model transfer is a compelling and popular method for pred...

0 Meng Fang, et al. ∙

research

∙ 08/19/2016

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Multi-view spectral clustering, which aims at yielding an agreement or c...

0 Yang Wang, et al. ∙

research

∙ 07/05/2016

Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection

Cross lingual projection of linguistic annotation suffers from many sour...

0 Meng Fang, et al. ∙

Meng Fang

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