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08/06/2023
AI-GOMS: Large AI-Driven Global Ocean Modeling System
Ocean modeling is a powerful tool for simulating the physical, chemical,...
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06/14/2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Existing theoretical studies on offline reinforcement learning (RL) most...
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05/29/2023
Photoswap: Personalized Subject Swapping in Images
In an era where images and visual content dominate our digital landscape...
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05/29/2023
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration
In online reinforcement learning (online RL), balancing exploration and ...
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05/03/2023
Reward Teaching for Federated Multi-armed Bandits
Most of the existing federated multi-armed bandits (FMAB) designs are ba...
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04/06/2023
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
Recent advances in personalized image generation allow a pre-trained tex...
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01/31/2023
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search
In this paper, we propose a robust multilingual model to improve the qua...
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01/24/2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
The lacking of analytic solutions of diverse partial differential equati...
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01/03/2023
KoopmanLab: machine learning for solving complex physics equations
Numerous physics theories are rooted in partial differential equations (...
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12/05/2022
End-to-end Recording Device Identification Based on Deep Representation Learning
Deep learning techniques have achieved specific results in recording dev...
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03/20/2022
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders
Objective and Impact Statement. We adopt a deep learning model for bone ...
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10/27/2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Incentivized exploration in multi-armed bandits (MAB) has witnessed incr...
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10/27/2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Despite the significant interests and many progresses in decentralized m...
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10/26/2021
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
A growing trend for value-based reinforcement learning (RL) algorithms i...
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01/13/2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
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10/20/2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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07/08/2020
Max-sum tests for cross-sectional dependence of high-demensional panel data
We consider a testing problem for cross-sectional dependence for high-di...
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06/19/2020
Image Sentiment Transfer
In this work, we introduce an important but still unexplored research ta...
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05/07/2020
LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans
While critical for the practical progress of spectrum sharing, modulatio...
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05/06/2020
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Conventional learning-based approaches to low-light image enhancement ty...
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04/18/2020
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision
Example-guided image synthesis has recently been attempted to synthesize...
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02/29/2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) pr...
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01/12/2020
Fine-grained Image-to-Image Transformation towards Visual Recognition
Existing image-to-image transformation approaches primarily focus on syn...
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11/27/2019
Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision
Example-guided image synthesis has been recently attempted to synthesize...
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01/17/2019
Foreground-aware Image Inpainting
Existing image inpainting methods typically fill holes by borrowing info...
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11/01/2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Caricature generation is an interesting yet challenging task. The primar...
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09/22/2017
