b'Tao Qin'

research

∙ 05/18/2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training

Generative pre-trained Transformer (GPT) has demonstrates its great succ...

0 Zequn Liu, et al. ∙

research

∙ 03/13/2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

Transformer-based autoregressive (AR) methods have achieved appealing pe...

0 Yisheng Xiao, et al. ∙

research

∙ 01/31/2023

Retrosynthetic Planning with Dual Value Networks

Retrosynthesis, which aims to find a route to synthesize a target molecu...

0 Guoqing Liu, et al. ∙

research

∙ 12/24/2022

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

One of the key challenges in deploying RL to real-world applications is ...

0 Xiaoyu Chen, et al. ∙

research

∙ 10/19/2022

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

Pre-trained language models have attracted increasing attention in the b...

0 Renqian Luo, et al. ∙

research

∙ 08/30/2022

MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks

Human usually composes music by organizing elements according to the mus...

11 Peiling Lu, et al. ∙

research

∙ 07/18/2022

Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation

Deep reinforcement learning (DRL) has attracted much attention in automa...

0 Guoqing Liu, et al. ∙

research

∙ 07/14/2022

Unified 2D and 3D Pre-Training of Molecular Representations

Molecular representation learning has attracted much attention recently....

0 Jinhua Zhu, et al. ∙

research

∙ 07/12/2022

ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships

Lyric-to-melody generation, which generates melody according to given ly...

0 Chen Zhang, et al. ∙

research

∙ 06/30/2022

Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations

Multilingual Neural Machine Translation (MNMT) enables one system to tra...

0 Akiko Eriguchi, et al. ∙

research

∙ 06/20/2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training

Drug-Target Affinity (DTA) prediction is an essential task for drug disc...

0 Qizhi Pei, et al. ∙

research

∙ 05/30/2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

Binaural audio plays a significant role in constructing immersive augmen...

1 Yichong Leng, et al. ∙

research

∙ 05/25/2022

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

Sentence scoring aims at measuring the likelihood score of a sentence an...

0 Kaitao Song, et al. ∙

research

∙ 05/25/2022

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret

We propose a new learning framework that captures the tiered structure o...

0 Jiawei Huang, et al. ∙

research

∙ 05/09/2022

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

Text to speech (TTS) has made rapid progress in both academia and indust...

18 Xu Tan, et al. ∙

research

∙ 04/20/2022

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Non-autoregressive (NAR) generation, which is first proposed in neural m...

0 Yisheng Xiao, et al. ∙

research

∙ 04/01/2022

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios

Adaptive text to speech (TTS) can synthesize new voices in zero-shot sce...

4 Yihan Wu, et al. ∙

research

∙ 02/26/2022

Revisiting Over-Smoothness in Text to Speech

Non-autoregressive text to speech (NAR-TTS) models have attracted much a...

0 Yi Ren, et al. ∙

research

∙ 02/14/2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality

Deployment efficiency is an important criterion for many real-world appl...

0 Jiawei Huang, et al. ∙

research

∙ 02/03/2022

Direct Molecular Conformation Generation

Molecular conformation generation aims to generate three-dimensional coo...

9 Jinhua Zhu, et al. ∙

research

∙ 01/31/2022

You May Not Need Ratio Clipping in PPO

Proximal Policy Optimization (PPO) methods learn a policy by iteratively...

0 Mingfei Sun, et al. ∙

research

∙ 01/03/2022

Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection

Unsupervised anomaly detection aims to build models to effectively detec...

0 Yuxin Zhang, et al. ∙

research

∙ 12/01/2021

Federated Learning with Adaptive Batchnorm for Personalized Healthcare

There is a growing interest in applying machine learning techniques for ...

0 Yiqiang Chen, et al. ∙

research

∙ 11/16/2021

Towards Generating Real-World Time Series Data

Time series data generation has drawn increasing attention in recent yea...

0 Hengzhi Pei, et al. ∙

research

∙ 10/29/2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

Understanding protein sequences is vital and urgent for biology, healthc...

0 Liang He, et al. ∙

research

∙ 10/27/2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Behavioral cloning has proven to be effective for learning sequential de...

0 Jongjin Park, et al. ∙

research

∙ 10/26/2021

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions

A growing trend for value-based reinforcement learning (RL) algorithms i...

0 Pushi Zhang, et al. ∙

research

∙ 10/07/2021

GNN is a Counter? Revisiting GNN for Question Answering

Question Answering (QA) has been a long-standing research topic in AI an...

41 Kuan Wang, et al. ∙

research

∙ 09/27/2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

The Interaction between Drugs and Targets (DTI) in human body plays a cr...

0 Yutai Hou, et al. ∙

research

∙ 09/16/2021

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

Automatic lyrics transcription (ALT), which can be regarded as automatic...

0 Chen Zhang, et al. ∙

research

∙ 08/29/2021

Analyzing and Mitigating Interference in Neural Architecture Search

Weight sharing has become the de facto approach to reduce the training c...

0 Jin Xu, et al. ∙

research

∙ 08/10/2021

AdaRNN: Adaptive Learning and Forecasting of Time Series

Time series has wide applications in the real world and is known to be d...

0 Yuntao Du, et al. ∙

research

∙ 07/06/2021

AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style

While recent text to speech (TTS) models perform very well in synthesizi...

9 Yuzi Yan, et al. ∙

research

∙ 07/05/2021

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Rap generation, which aims to produce lyrics and corresponding singing b...

0 Lanqing Xue, et al. ∙

research

∙ 07/03/2021

Supervised Off-Policy Ranking

Off-policy evaluation (OPE) leverages data generated by other policies t...

1 Yue Jin, et al. ∙

research

∙ 06/30/2021

On the Generative Utility of Cyclic Conditionals

We study whether and how can we model a joint distribution p(x,z) using ...

0 Chang Liu, et al. ∙

research

∙ 06/29/2021

A Survey on Neural Speech Synthesis

Text to speech (TTS), or speech synthesis, which aims to synthesize inte...

63 Xu Tan, et al. ∙

research

∙ 06/28/2021

R-Drop: Regularized Dropout for Neural Networks

Dropout is a powerful and widely used technique to regularize the traini...

0 Xiaobo Liang, et al. ∙

research

∙ 06/17/2021

Dual-view Molecule Pre-training

Inspired by its success in natural language processing and computer visi...

0 Jinhua Zhu, et al. ∙

research

∙ 06/11/2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

Denoising diffusion probabilistic models have been recently proposed to ...

5 Sang-gil Lee, et al. ∙

research

∙ 05/30/2021

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

While pre-trained language models (e.g., BERT) have achieved impressive ...

12 Jin Xu, et al. ∙

research

∙ 05/27/2021

Learning Structures for Deep Neural Networks

In this paper, we focus on the unsupervised setting for structure learni...

0 Jinhui Yuan, et al. ∙

research

∙ 05/18/2021

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

Cross-lingual speech adaptation aims to solve the problem of leveraging ...

0 Wenxin Hou, et al. ∙

research

∙ 05/09/2021

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

Error correction techniques have been used to refine the output sentence...

5 Yichong Leng, et al. ∙

research

∙ 04/20/2021

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

Text to speech (TTS) is widely used to synthesize personal voice for a t...

13 Yuzi Yan, et al. ∙

research

∙ 04/15/2021

Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching

End-to-end automatic speech recognition (ASR) can achieve promising perf...

0 Wenxin Hou, et al. ∙

research

∙ 04/11/2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Transformer architecture achieves great success in abundant natural lang...

0 Zhen Wu, et al. ∙

research

∙ 03/05/2021

IOT: Instance-wise Layer Reordering for Transformer Structures

With sequentially stacked self-attention, (optional) encoder-decoder att...

0 Jinhua Zhu, et al. ∙

research

∙ 03/02/2021

Generalizing to Unseen Domains: A Survey on Domain Generalization

Domain generalization (DG), i.e., out-of-distribution generalization, ha...

0 Jindong Wang, et al. ∙

research

∙ 03/01/2021

AdaSpeech: Adaptive Text to Speech for Custom Voice

Custom voice, a specific text to speech (TTS) service in commercial spee...

25 Mingjian Chen, et al. ∙

Tao Qin

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