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07/24/2023
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
Classic approaches to content moderation typically apply a rule-based he...
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05/17/2023
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
There is a rapidly growing need for multimodal content moderation (CM) a...
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08/01/2022
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
Video Object Segmentation (VOS) is fundamental to video understanding. T...
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06/09/2022
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Online action detection is the task of predicting the action as soon as ...
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10/25/2021
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
We present a novel information-theoretic approach to introduce dependenc...
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09/30/2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
We present MetaUVFS as the first Unsupervised Meta-learning algorithm fo...
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07/07/2021
Self-supervised Outdoor Scene Relighting
Outdoor scene relighting is a challenging problem that requires good und...
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03/15/2021
Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
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02/21/2021
Weak NAS Predictors Are All You Need
Neural Architecture Search (NAS) finds the best network architecture by ...
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02/12/2021
Outdoor inverse rendering from a single image using multiview self-supervision
In this paper we show how to perform scene-level inverse rendering to re...
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09/02/2019
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference
CNNs outperform traditional machine learning algorithms across a wide ra...
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08/05/2019
Concury: A Fast and Light-weighted Software Load Balancer
A load balancer (LB) is a vital network function for cloud services to b...
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03/18/2019
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture
Deep neural networks (DNNs) have been shown to outperform conventional m...
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02/16/2019
On Privacy-preserving Decentralized Optimization through Alternating Direction Method of Multipliers
Privacy concerns with sensitive data in machine learning are receiving i...
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11/29/2018