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01/31/2023
Retrosynthetic Planning with Dual Value Networks
Retrosynthesis, which aims to find a route to synthesize a target molecu...
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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...
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10/04/2022
One Transformer Can Understand Both 2D 3D Molecular Data
Unlike vision and language data which usually has a unique format, molec...
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07/20/2022
Quantized Training of Gradient Boosting Decision Trees
Recent years have witnessed significant success in Gradient Boosting Dec...
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07/18/2022
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation
Deep reinforcement learning (DRL) has attracted much attention in automa...
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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...
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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...
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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...
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02/03/2022
Direct Molecular Conformation Generation
Molecular conformation generation aims to generate three-dimensional coo...
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11/01/2021
Indiscriminate Poisoning Attacks Are Shortcuts
Indiscriminate data poisoning attacks, which add imperceptible perturbat...
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07/06/2021
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
While recent text to speech (TTS) models perform very well in synthesizi...
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07/05/2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Rap generation, which aims to produce lyrics and corresponding singing b...
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05/31/2021
Adversarial Training with Rectified Rejection
Adversarial training (AT) is one of the most effective strategies for pr...
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09/07/2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Normalization plays an important role in the optimization of deep neural...
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07/09/2020
Neural Architecture Search with GBDT
Neural architecture search (NAS) with an accuracy predictor that predict...
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06/28/2020
Rethinking the Positional Encoding in Language Pre-training
How to explicitly encode positional information into neural networks is ...
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06/08/2020
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Advanced text to speech (TTS) models such as FastSpeech can synthesize s...
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05/02/2020
SEEK: Segmented Embedding of Knowledge Graphs
In recent years, knowledge graph embedding becomes a pretty hot research...
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03/30/2020
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Artificial Intelligence (AI) has achieved great success in many domains,...
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03/14/2019
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
Value function estimation is an important task in reinforcement learning...
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05/09/2018
