
Wavelet Design in a Learning Framework
Wavelets have proven to be highly successful in several signal and image...
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Implicit RateConstrained Optimization of Nondecomposable Objectives
We consider a popular family of constrained optimization problems arisin...
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Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
We present Retrieve in Style (RIS), an unsupervised framework for fineg...
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SOCluster Towards Intentbased Clustering of Stack Overflow Questions using GraphBased Approach
Stack Overflow (SO) platform has a huge dataset of questions and answers...
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Risk score learning for COVID19 contact tracing apps
Digital contact tracing apps for COVID19, such as the one developed by ...
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Adaptive Contention Window Design using Deep Qlearning
We study the problem of adaptive contention window (CW) design for rando...
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FewShot Adaptation of Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown remarkable performance...
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Generalized Adversarially Learned Inference
Allowing effective inference of latent vectors while training GANs can g...
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MCQA: Multimodal Coattention Based Network for Question Answering
We present MCQA, a learningbased algorithm for multimodal question answ...
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Marketplace for AI Models
Artificial intelligence shows promise for solving many practical societa...
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Regularized Autoencoders via Relaxed Injective Probability Flow
Invertible flowbased generative models are an effective method for lear...
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On Implicit Regularization in βVAEs
While the impact of variational inference (VI) on posterior inference in...
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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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Nonparametric Bayesian Structure Adaptation for Continual Learning
Continual Learning is a learning paradigm where machine learning models ...
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Emotion helps Sentiment: A Multitask Model for Sentiment and Emotion Analysis
In this paper, we propose a twolayered multitask attention based neura...
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Customized video filtering on YouTube
Inappropriate and profane content on social media is exponentially incre...
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Weakly Supervised Disentanglement with Guarantees
Learning disentangled representations that correspond to factors of vari...
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Refined αDivergence Variational Inference via Rejection Sampling
We present an approximate inference method, based on a synergistic combi...
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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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Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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SpotTune: Transfer Learning through Adaptive Finetuning
Transfer learning, which allows a source task to affect the inductive bi...
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MTCGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Developing accurate, transferable and computationally inexpensive machin...
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Coregularized Alignment for Unsupervised Domain Adaptation
Deep neural networks, trained with large amount of labeled data, can fai...
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Deltaencoder: an effective sample synthesis method for fewshot object recognition
Learning to classify new categories based on just one or a few examples ...
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RepMet: Representativebased metric learning for classification and oneshot object detection
Distance metric learning (DML) has been successfully applied to object c...
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Knowledgeenriched Twolayered Attention Network for Sentiment Analysis
We propose a novel twolayered attention network based on Bidirectional ...
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Improved Neural Text Attribute Transfer with Nonparallel Data
Text attribute transfer using nonparallel data requires methods that ca...
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BlockDrop: Dynamic Inference Paths in Residual Networks
Very deep convolutional neural networks offer excellent recognition resu...
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The Riemannian Geometry of Deep Generative Models
Deep generative models learn a mapping from a low dimensional latent spa...
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Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Disentangled representations, where the higher level data generative fac...
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SenGen: Sentence Generating Neural Variational Topic Model
We present a new topic model that generates documents by sampling a topi...
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Semisupervised Learning with GANs: Manifold Invariance with Improved Inference
Semisupervised learning methods using Generative Adversarial Networks (...
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Fullyadaptive Feature Sharing in MultiTask Networks with Applications in Person Attribute Classification
Multitask learning aims to improve generalization performance of multip...
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S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
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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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Exact and Heuristic Algorithms for SemiNonnegative Matrix Factorization
Given a matrix M (not necessarily nonnegative) and a factorization rank ...
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Nearseparable Nonnegative Matrix Factorization with ℓ_1 and Bregman Loss Functions
Recently, a family of tractable NMF algorithms have been proposed under ...
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Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A FeedForward MultiLayer ANN Based Approach
The paper investigates nonlinear system identification using system outp...
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Fast Conical Hull Algorithms for Nearseparable Nonnegative Matrix Factorization
The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012)...
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A Binary Classification Framework for TwoStage Multiple Kernel Learning
With the advent of kernel methods, automating the task of specifying a s...
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Learning Task Grouping and Overlap in Multitask Learning
In the paradigm of multitask learning, mul tiple related prediction ta...
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Abhishek Kumar
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I accidently claimed this profile. Delete it , i donno how to do.