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08/17/2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforcement learning from human feedback (RLHF) can improve the qualit...
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04/06/2023
Robust Decision-Focused Learning for Reward Transfer
Decision-focused (DF) model-based reinforcement learning has recently be...
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02/15/2023
Multimodal N-of-1 trials: A Novel Personalized Healthcare Design
N-of-1 trials aim to estimate treatment effects on the individual level ...
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02/01/2023
iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)
ADHD is a prevalent disorder among the younger population. Standard eval...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/10/2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Federated Learning (FL) is a machine learning paradigm where local nodes...
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09/06/2022
Surya Namaskar: real-time advanced yoga pose recognition and correction for smart healthcare
Nowadays, yoga has gained worldwide attention because of increasing leve...
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04/28/2022
A Probabilistic Chemical Programmable Computer
The exponential growth of the power of modern digital computers is based...
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04/07/2022
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
Topic models are some of the most popular ways to represent textual data...
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01/19/2022
Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care
Nowadays, yoga has become a part of life for many people. Exercises and ...
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12/05/2021
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud
Despite the success of deep functional maps in non-rigid 3D shape matchi...
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12/01/2021
Object-Aware Cropping for Self-Supervised Learning
A core component of the recent success of self-supervised learning is cr...
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10/25/2021
On Learning Prediction-Focused Mixtures
Probabilistic models help us encode latent structures that both model th...
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10/06/2021
Learning Canonical Embedding for Non-rigid Shape Matching
This paper provides a novel framework that learns canonical embeddings f...
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02/10/2021
Scale Normalized Image Pyramids with AutoFocus for Object Detection
We present an efficient foveal framework to perform object detection. A ...
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02/05/2021
Matrix Decomposition on Graphs: A Functional View
We propose a functional view of matrix decomposition problems on graphs ...
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11/03/2020
Learning Visual Representations for Transfer Learning by Suppressing Texture
Recent literature has shown that features obtained from supervised train...
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09/29/2020
Geometric Matrix Completion: A Functional View
We propose a totally functional view of geometric matrix completion prob...
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09/28/2020
Weakly Supervised Deep Functional Map for Shape Matching
A variety of deep functional maps have been proposed recently, from full...
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07/19/2020
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
The widely adopted sequential variant of Non Maximum Suppression (or Gre...
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07/10/2020
Price Optimization in Fashion E-commerce
With the rapid growth in the fashion e-commerce industry, it is becoming...
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05/08/2020
OpenEDS2020: Open Eyes Dataset
We present the second edition of OpenEDS dataset, OpenEDS2020, a novel d...
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04/10/2020
Towards Automatic Generation of Questions from Long Answers
Automatic question generation (AQG) has broad applicability in domains s...
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03/31/2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
We present a novel learning-based approach for computing correspondences...
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02/13/2020
Listwise Learning to Rank with Deep Q-Networks
Learning to Rank is the problem involved with ranking a sequence of docu...
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12/16/2019
Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development
Software developers use a variety of social media channels and tools in ...
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10/15/2019
Reinforcement learning with spiking coagents
Neuroscientific theory suggests that dopaminergic neurons broadcast glob...
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09/24/2019
Multi-Person 3D Human Pose Estimation from Monocular Images
Multi-person 3D human pose estimation from a single image is a challengi...
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09/09/2019
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
In this paper we work on the recently introduced ShARC task - a challeng...
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08/18/2019
On the Robustness of Human Pose Estimation
This paper provides, to the best of our knowledge, the first comprehensi...
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08/14/2019
3D Human Pose Estimation under limited supervision using Metric Learning
Estimating 3D human pose from monocular images demands large amounts of ...
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04/22/2019
Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant
We describe a chemical robotic assistant equipped with a curiosity algor...
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04/02/2019
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Monocular 3D Human Pose Estimation from static images is a challenging p...
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11/26/2018
Foreground Clustering for Joint Segmentation and Localization in Videos and Images
This paper presents a novel framework in which video/image segmentation ...
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10/31/2018
SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis
Software developers have benefited from various sources of knowledge suc...
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03/20/2018
DYAN: A Dynamical Atoms Network for Video Prediction
The ability to anticipate the future is essential when making real time ...
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12/14/2017
Rate of Change Analysis for Interestingness Measures
The use of Association Rule Mining techniques in diverse contexts and do...
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12/05/2017
R-FCN-3000 at 30fps: Decoupling Detection and Classification
We present R-FCN-3000, a large-scale real-time object detector in which ...
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05/17/2017
One Shot Joint Colocalization and Cosegmentation
This paper presents a novel framework in which image cosegmentation and ...
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04/13/2016
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
With the advent of affordable depth sensors, 3D capture becomes more and...
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03/14/2016
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach
Very large commonsense knowledge bases (KBs) often have thousands to mil...
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03/09/2015
Deep Hierarchical Parsing for Semantic Segmentation
This paper proposes a learning-based approach to scene parsing inspired ...
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12/16/2014