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04/17/2023
DETRs Beat YOLOs on Real-time Object Detection
Recently, end-to-end transformer-based detectors (DETRs) have achieved r...
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03/06/2023
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
Recent years have witnessed the unprecedented achievements of large-scal...
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02/21/2023
DSL-Assembly: A Robust and Safe Assembly Strategy
A reinforcement learning (RL) based method that enables the robot to acc...
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12/06/2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a var...
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11/04/2022
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
Arbitrary-oriented object detection is a fundamental task in visual scen...
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10/24/2022
Overlap, matching, or entropy weights: what are we weighting for?
There has been a recent surge in statistical methods for handling the la...
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10/17/2022
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle
In recent years, the rapid development of deep learning has brought grea...
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09/23/2022
Periodic Graph Transformers for Crystal Material Property Prediction
We consider representation learning on periodic graphs encoding crystal ...
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08/30/2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Distributed synchronized GPU training is commonly used for deep learning...
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08/06/2022
DeepGen: Diverse Search Ad Generation and Real-Time Customization
We present DeepGen, a system deployed at web scale for automatically cre...
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07/26/2022
Learning Protein Representations via Complete 3D Graph Networks
We consider representation learning for proteins with 3D structures. We ...
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07/17/2022
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing
Serverless computing is an emerging cloud computing paradigm that frees ...
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07/11/2022
An Ultra-low Power TinyML System for Real-time Visual Processing at Edge
Tiny machine learning (TinyML), executing AI workloads on resource and p...
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04/06/2022
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
Real-world applications have high demands for semantic segmentation meth...
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02/17/2022
Commentary: analyzing binary data using MCPMod when zero counts are expected
Bretz et al (2005) proposed multiple Comparison Procedure and Modeling (...
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02/01/2022
Distributional Reinforcement Learning via Sinkhorn Iterations
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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12/14/2021
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
As the COVID-19 pandemic rampages across the world, the demands of video...
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09/24/2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
Knowledge Graph Embedding (KGE) aims to learn representations for entiti...
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09/17/2021
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations
In real scenarios, state observations that an agent observes may contain...
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05/15/2020
