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07/23/2021
Wavelet Design in a Learning Framework
Wavelets have proven to be highly successful in several signal and image...
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07/23/2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
We consider a popular family of constrained optimization problems arisin...
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07/13/2021
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
We present Retrieve in Style (RIS), an unsupervised framework for fine-g...
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07/06/2021
SOCluster- Towards Intent-based Clustering of Stack Overflow Questions using Graph-Based Approach
Stack Overflow (SO) platform has a huge dataset of questions and answers...
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04/17/2021
Risk score learning for COVID-19 contact tracing apps
Digital contact tracing apps for COVID-19, such as the one developed by ...
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11/18/2020
Adaptive Contention Window Design using Deep Q-learning
We study the problem of adaptive contention window (CW) design for rando...
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10/22/2020
Few-Shot Adaptation of Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown remarkable performance...
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06/15/2020
Generalized Adversarially Learned Inference
Allowing effective inference of latent vectors while training GANs can g...
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04/25/2020
MCQA: Multimodal Co-attention Based Network for Question Answering
We present MCQA, a learning-based algorithm for multimodal question answ...
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03/03/2020
Marketplace for AI Models
Artificial intelligence shows promise for solving many practical societa...
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02/20/2020
Regularized Autoencoders via Relaxed Injective Probability Flow
Invertible flow-based generative models are an effective method for lear...
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01/31/2020
On Implicit Regularization in β-VAEs
While the impact of variational inference (VI) on posterior inference in...
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01/30/2020
Trustworthy AI in the Age of Pervasive Computing and Big Data
The era of pervasive computing has resulted in countless devices that co...
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12/08/2019
Nonparametric Bayesian Structure Adaptation for Continual Learning
Continual Learning is a learning paradigm where machine learning models ...
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11/28/2019
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis
In this paper, we propose a two-layered multi-task attention based neura...
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11/11/2019
Customized video filtering on YouTube
Inappropriate and profane content on social media is exponentially incre...
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10/22/2019
Weakly Supervised Disentanglement with Guarantees
Learning disentangled representations that correspond to factors of vari...
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09/17/2019
Refined α-Divergence Variational Inference via Rejection Sampling
We present an approximate inference method, based on a synergistic combi...
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02/06/2019
A Scale Invariant Flatness Measure for Deep Network Minima
It has been empirically observed that the flatness of minima obtained fr...
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11/30/2018
Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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11/21/2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
Transfer learning, which allows a source task to affect the inductive bi...
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11/14/2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Developing accurate, transferable and computationally inexpensive machin...
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11/13/2018
Co-regularized Alignment for Unsupervised Domain Adaptation
Deep neural networks, trained with large amount of labeled data, can fai...
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06/12/2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Learning to classify new categories based on just one or a few examples ...
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06/12/2018
RepMet: Representative-based metric learning for classification and one-shot object detection
Distance metric learning (DML) has been successfully applied to object c...
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05/20/2018
Knowledge-enriched Two-layered Attention Network for Sentiment Analysis
We propose a novel two-layered attention network based on Bidirectional ...
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11/26/2017
Improved Neural Text Attribute Transfer with Non-parallel Data
Text attribute transfer using non-parallel data requires methods that ca...
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11/22/2017
BlockDrop: Dynamic Inference Paths in Residual Networks
Very deep convolutional neural networks offer excellent recognition resu...
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11/21/2017
The Riemannian Geometry of Deep Generative Models
Deep generative models learn a mapping from a low dimensional latent spa...
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11/02/2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Disentangled representations, where the higher level data generative fac...
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08/01/2017
SenGen: Sentence Generating Neural Variational Topic Model
We present a new topic model that generates documents by sampling a topi...
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05/24/2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
Semi-supervised learning methods using Generative Adversarial Networks (...
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11/16/2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Multi-task learning aims to improve generalization performance of multip...
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11/16/2016
S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
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11/03/2016
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
To use deep reinforcement learning in the wild, we might hope for an age...
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10/27/2014
Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization
Given a matrix M (not necessarily nonnegative) and a factorization rank ...
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12/27/2013
Near-separable Non-negative Matrix Factorization with â„“_1- and Bregman Loss Functions
Recently, a family of tractable NMF algorithms have been proposed under ...
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12/13/2012
Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach
The paper investigates nonlinear system identification using system outp...
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10/03/2012
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012)...
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06/27/2012
A Binary Classification Framework for Two-Stage Multiple Kernel Learning
With the advent of kernel methods, automating the task of specifying a s...
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06/27/2012
