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08/17/2023
Personalized First Issue Recommender for Newcomers in Open Source Projects
Many open source projects provide good first issues (GFIs) to attract an...
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08/07/2023
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Personalized recommendations form an important part of today's internet ...
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06/13/2023
Taxonomy-Structured Domain Adaptation
Domain adaptation aims to mitigate distribution shifts among different d...
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05/30/2023
Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution
Generalizable neural surface reconstruction techniques have attracted gr...
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03/19/2023
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
Point cloud segmentation is a fundamental task in 3D vision that serves ...
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03/07/2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
To design fast neural networks, many works have been focusing on reducin...
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02/18/2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
When modeling related tasks in computer vision, Multi-Task Learning (MTL...
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02/18/2023
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Counterfactually-Augmented Data (CAD) has the potential to improve langu...
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02/06/2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Previous studies have shown that leveraging domain index can significant...
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01/13/2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution
Federated medical relation extraction enables multiple clients to train ...
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10/07/2022
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)
Recent years have seen advances on principles and guidance relating to a...
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09/08/2022
FedDAR: Federated Domain-Aware Representation Learning
Cross-silo Federated learning (FL) has become a promising tool in machin...
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06/15/2022
Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot
Dependency management bots automatically open pull requests to update so...
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03/29/2022
Demystifying Software Release Note Issues on GitHub
Release notes (RNs) summarize main changes between two consecutive softw...
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03/06/2022
Domain Adaptation with Factorizable Joint Shift
Existing domain adaptation (DA) usually assumes the domain shift comes f...
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02/22/2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate data poisoning attacks are quite effective against superv...
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02/08/2022
Graph-Relational Domain Adaptation
Existing domain adaptation methods tend to treat every domain equally an...
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02/08/2022
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach
The human brain's white matter (WM) structure is of immense interest to ...
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01/27/2022
Controlling Directions Orthogonal to a Classifier
We propose to identify directions invariant to a given classifier so tha...
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01/17/2022
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party
Federated learning allows multiple participants to conduct joint modelin...
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09/12/2021
End-to-End Conversational Search for Online Shopping with Utterance Transfer
Successful conversational search systems can present natural, adaptive a...
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07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
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07/15/2021
Mid-flight Forecasting for CPA Lines in Online Advertising
For Verizon MediaDemand Side Platform(DSP), forecasting of ad campaign p...
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07/12/2021
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
Since 2019, most ad exchanges and sell-side platforms (SSPs), in the onl...
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05/25/2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
We propose a novel method for fine-grained high-quality image segmentati...
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05/18/2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Recent work for image captioning mainly followed an extract-then-generat...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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09/19/2020
Bid Shading by Win-Rate Estimation and Surplus Maximization
This paper describes a new win-rate based bid shading algorithm (WR) tha...
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07/03/2020
Continuously Indexed Domain Adaptation
Existing domain adaptation focuses on transferring knowledge between dom...
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05/06/2020
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving
Trajectory prediction has always been a challenging problem for autonomo...
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10/18/2019
Learning Compositional Koopman Operators for Model-Based Control
Finding an embedding space for a linear approximation of a nonlinear dyn...
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07/02/2019
Disentangled Makeup Transfer with Generative Adversarial Network
Facial makeup transfer is a widely-used technology that aims to transfer...
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06/25/2019
Road-network-based Rapid Geolocalization
It has always been a research hotspot to use geographic information to a...
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03/19/2019
Truly Proximal Policy Optimization
Proximal policy optimization (PPO) is one of the most successful deep re...
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02/15/2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations
In real-world scenarios, the observation data for reinforcement learning...
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02/06/2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
We consider the problem of inferring the values of an arbitrary set of v...
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01/29/2019
Trust Region-Guided Proximal Policy Optimization
Model-free reinforcement learning relies heavily on a safe yet explorato...
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09/27/2017
