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06/14/2023
GBSD: Generative Bokeh with Stage Diffusion
The bokeh effect is an artistic technique that blurs out-of-focus areas ...
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06/12/2023
SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking
Much research has been done on user-generated textual passwords. Surpris...
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05/25/2023
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
The captivating realm of Minecraft has attracted substantial research in...
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04/17/2023
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition
Clothing segmentation and fine-grained attribute recognition are challen...
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03/09/2023
Smooth and Stepwise Self-Distillation for Object Detection
Distilling the structured information captured in feature maps has contr...
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02/09/2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
In recent years, there has been an increased popularity in image and spe...
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01/27/2023
A fast computational framework for the linear bond-based peridynamic model
Peridynamic (PD) theory is significant and promising in engineering and ...
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01/09/2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Task-agnostic knowledge distillation attempts to address the problem of ...
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12/21/2022
Attention-Aware Anime Line Drawing Colorization
Automatic colorization of anime line drawing has attracted much attentio...
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12/13/2022
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
Software engineers working with the same programming language (PL) may s...
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11/18/2022
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
We present a novel bird's-eye-view (BEV) detector with perspective super...
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11/14/2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Transferring large amount of high resolution images over limited bandwid...
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11/14/2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Diffusion-based text-to-image generation models like GLIDE and DALLE-2 h...
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11/09/2022
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation
Recent cross-lingual cross-modal works attempt to extend Vision-Language...
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10/27/2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Recent progress in diffusion models has revolutionized the popular techn...
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10/21/2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Derivative-free prompt learning has emerged as a lightweight alternative...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/30/2022
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
Recent Vision-Language Pre-trained (VLP) models based on dual encoder ha...
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06/02/2022
Graph Kernels Based on Multi-scale Graph Embeddings
Graph kernels are conventional methods for computing graph similarities....
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05/18/2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Neural retrievers based on pre-trained language models (PLMs), such as d...
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04/15/2022
Accurate ADMET Prediction with XGBoost
The absorption, distribution, metabolism, excretion, and toxicity (ADMET...
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01/28/2022
Indicative Image Retrieval: Turning Blackbox Learning into Grey
Deep learning became the game changer for image retrieval soon after it ...
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12/31/2021
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
Conventional methods for the image-text generation tasks mainly tackle t...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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09/14/2021
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
Recently reinforcement learning (RL) has emerged as a promising approach...
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09/08/2021
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization
While artificial neural networks (ANNs) have been widely adopted in mach...
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09/08/2021
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
Combining off-policy reinforcement learning methods with function approx...
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07/05/2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained models have achieved state-of-the-art results in various Nat...
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06/29/2021
Action Set Based Policy Optimization for Safe Power Grid Management
Maintaining the stability of the modern power grid is becoming increasin...
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06/04/2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
Pretrained language models (PLMs) such as BERT adopt a training paradigm...
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12/31/2020
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
Transformers are not suited for processing long document input due to it...
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12/31/2020
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora
Recent studies have demonstrated that pre-trained cross-lingual models a...
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12/09/2020
Proactive Interaction Framework for Intelligent Social Receptionist Robots
Proactive human-robot interaction (HRI) allows the receptionist robots t...
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11/25/2020
Unsupervised Object Detection with LiDAR Clues
Despite the importance of unsupervised object detection, to the best of ...
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10/23/2020
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
Coarse-grained linguistic information, such as name entities or phrases,...
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06/30/2020
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph
We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...
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01/26/2020
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Current pre-training works in natural language generation pay little att...
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12/10/2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
By integrating dynamics models into model-free reinforcement learning (R...
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12/04/2019
Learning to Recommend via Meta Parameter Partition
In this paper we propose to solve an important problem in recommendation...
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11/06/2019
MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems
It has been widely regarded that only considering the immediate user fee...
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07/29/2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Recently, pre-trained models have achieved state-of-the-art results in v...
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04/19/2019
ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge c...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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02/01/2019
Sequential Evaluation and Generation Framework for Combinatorial Recommender System
Typical recommender systems push K items at once in the result page in t...
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11/15/2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Combining deep neural networks with reinforcement learning has shown gre...
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07/22/2018