
Adaptive Contention Window Design using Deep Qlearning
We study the problem of adaptive contention window (CW) design for rando...
read it

FewShot Adaptation of Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown remarkable performance...
read it

Generalized Adversarially Learned Inference
Allowing effective inference of latent vectors while training GANs can g...
read it

MCQA: Multimodal Coattention Based Network for Question Answering
We present MCQA, a learningbased algorithm for multimodal question answ...
read it

Marketplace for AI Models
Artificial intelligence shows promise for solving many practical societa...
read it

Regularized Autoencoders via Relaxed Injective Probability Flow
Invertible flowbased generative models are an effective method for lear...
read it

On Implicit Regularization in βVAEs
While the impact of variational inference (VI) on posterior inference in...
read it

Trustworthy AI in the Age of Pervasive Computing and Big Data
The era of pervasive computing has resulted in countless devices that co...
read it

Nonparametric Bayesian Structure Adaptation for Continual Learning
Continual Learning is a learning paradigm where machine learning models ...
read it

Emotion helps Sentiment: A Multitask Model for Sentiment and Emotion Analysis
In this paper, we propose a twolayered multitask attention based neura...
read it

Customized video filtering on YouTube
Inappropriate and profane content on social media is exponentially incre...
read it

Weakly Supervised Disentanglement with Guarantees
Learning disentangled representations that correspond to factors of vari...
read it

Refined αDivergence Variational Inference via Rejection Sampling
We present an approximate inference method, based on a synergistic combi...
read it

A Scale Invariant Flatness Measure for Deep Network Minima
It has been empirically observed that the flatness of minima obtained fr...
read it

Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
read it

SpotTune: Transfer Learning through Adaptive Finetuning
Transfer learning, which allows a source task to affect the inductive bi...
read it

MTCGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Developing accurate, transferable and computationally inexpensive machin...
read it

Coregularized Alignment for Unsupervised Domain Adaptation
Deep neural networks, trained with large amount of labeled data, can fai...
read it

Deltaencoder: an effective sample synthesis method for fewshot object recognition
Learning to classify new categories based on just one or a few examples ...
read it

RepMet: Representativebased metric learning for classification and oneshot object detection
Distance metric learning (DML) has been successfully applied to object c...
read it

Knowledgeenriched Twolayered Attention Network for Sentiment Analysis
We propose a novel twolayered attention network based on Bidirectional ...
read it

Improved Neural Text Attribute Transfer with Nonparallel Data
Text attribute transfer using nonparallel data requires methods that ca...
read it

BlockDrop: Dynamic Inference Paths in Residual Networks
Very deep convolutional neural networks offer excellent recognition resu...
read it

The Riemannian Geometry of Deep Generative Models
Deep generative models learn a mapping from a low dimensional latent spa...
read it

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Disentangled representations, where the higher level data generative fac...
read it

SenGen: Sentence Generating Neural Variational Topic Model
We present a new topic model that generates documents by sampling a topi...
read it

Semisupervised Learning with GANs: Manifold Invariance with Improved Inference
Semisupervised learning methods using Generative Adversarial Networks (...
read it

Fullyadaptive Feature Sharing in MultiTask Networks with Applications in Person Attribute Classification
Multitask learning aims to improve generalization performance of multip...
read it

S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
read it

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
To use deep reinforcement learning in the wild, we might hope for an age...
read it

Exact and Heuristic Algorithms for SemiNonnegative Matrix Factorization
Given a matrix M (not necessarily nonnegative) and a factorization rank ...
read it

Nearseparable Nonnegative Matrix Factorization with ℓ_1 and Bregman Loss Functions
Recently, a family of tractable NMF algorithms have been proposed under ...
read it

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...
read it

Fast Conical Hull Algorithms for Nearseparable Nonnegative Matrix Factorization
The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012)...
read it

A Binary Classification Framework for TwoStage Multiple Kernel Learning
With the advent of kernel methods, automating the task of specifying a s...
read it

Learning Task Grouping and Overlap in Multitask Learning
In the paradigm of multitask learning, mul tiple related prediction ta...
read it
Abhishek Kumar
verfied profile
I accidently claimed this profile. Delete it , i donno how to do.