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09/07/2023
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality
We focus on addressing the challenges in responsible beauty product reco...
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03/14/2023
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
The Natural Language for Optimization (NL4Opt) Competition was created t...
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09/30/2022
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
We describe an augmented intelligence system for simplifying and enhanci...
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08/15/2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
Data augmentation is an essential technique in improving the generalizat...
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06/14/2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
Branch-and-bound is a systematic enumerative method for combinatorial op...
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06/14/2022
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data
Semi-supervised learning (SSL) has seen great strides when labeled data ...
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06/07/2022
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning
Unsupervised representation learning methods like SwAV are proved to be ...
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06/07/2022
Extending Momentum Contrast with Cross Similarity Consistency Regularization
Contrastive self-supervised representation learning methods maximize the...
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03/29/2022
Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning
Hierarchical multi-agent reinforcement learning (MARL) has shown a signi...
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03/01/2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models
Building huge and highly capable language models has been a trend in the...
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12/22/2021
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate
The 2021 NeurIPS Machine Learning for Combinatorial Optimization (ML4CO)...
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10/20/2021
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?
The diversity of deep learning applications, datasets, and neural networ...
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10/20/2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Convolutional Neural Networks (CNNs) for visual tasks are believed to le...
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10/20/2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
State-of-the-art deep learning models have achieved significant performa...
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08/30/2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
In many industry scale applications, large and resource consuming machin...
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07/28/2021
SimROD: A Simple Adaptation Method for Robust Object Detection
This paper presents a Simple and effective unsupervised adaptation metho...
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05/22/2021
Revisiting Knowledge Distillation for Object Detection
The existing solutions for object detection distillation rely on the ava...
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03/13/2018
A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)
Over the past decade, many computational saliency prediction models have...
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03/13/2018
3D Video Quality Assessment
A key factor in designing 3D systems is to understand how different visu...
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03/13/2018
A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)
Saliency prediction for Standard Dynamic Range (SDR) videos has been wel...
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03/13/2018
Effect of Eye Dominance on the Perception of Stereoscopic 3D Video
Asymmetric schemes have widespread applications in the 3D video transmis...
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03/13/2018
Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals
In this paper, we proposed a robust music genre classification method ba...
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03/13/2018