
Online Reinforcement Learning of Optimal Threshold Policies for Markov Decision Processes
Markov Decision Process (MDP) problems can be solved using Dynamic Progr...
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Deep Bayesian Network for Visual Question Generation
Generating natural questions from an image is a semantic task that requi...
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Minimizing Supervision in Multilabel Categorization
Multiple categories of objects are present in most images. Treating this...
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Dynamic Attention Networks for Task Oriented Grounding
In order to successfully perform tasks specified by natural language ins...
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Jointly Trained Image and Video Generation using Residual Vectors
In this work, we propose a modeling technique for jointly training image...
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Adversarial Incremental Learning
Although deep learning performs really well in a wide variety of tasks, ...
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Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
Humans involuntarily tend to infer parts of the conversation from lip mo...
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mRMRDNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines
In recent years, intelligent conditionbased monitoring of rotary machin...
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Domain Independent Unsupervised Learning to grasp the Novel Objects
One of the main challenges in the visionbased grasping is the selection...
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Granular Multimodal Attention Networks for Visual Dialog
Vision and language tasks have benefited from attention. There have been...
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CrossLingual Ability of Multilingual BERT: An Empirical Study
Recent work has exhibited the surprising crosslingual abilities of mult...
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UCAM: Visual Explanation using Uncertainty based Class Activation Maps
Understanding and explaining deep learning models is an imperative task....
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Deep Attentive Ranking Networks for Learning to Order Sentences
We present an attentionbased ranking framework for learning to order se...
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IITK at SemEval2020 Task 10: Transformers for Emphasis Selection
This paper describes the system proposed for addressing the research pro...
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Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
Gaussian processes provide a framework for nonlinear nonparametric Bayes...
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TorchGAN: A Flexible Framework for GAN Training and Evaluation
TorchGAN is a PyTorch based framework for writing succinct and comprehen...
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MACER: A Modular Framework for Accelerated Compilation Error Repair
Automated compilation error repair, the problem of suggesting fixes to b...
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Generalized ZeroShot Learning via Synthesized Examples
We present a generative framework for generalized zeroshot learning whe...
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Future Person Localization in FirstPerson Videos
We present a new task that predicts future locations of people observed ...
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ZeroShot Learning via ClassConditioned Deep Generative Models
We present a deep generative model for learning to predict classes not s...
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Leveraging Distributional Semantics for MultiLabel Learning
We present a novel and scalable label embedding framework for largescal...
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Compact EnvironmentInvariant Codes for Robust Visual Place Recognition
Robust visual place recognition (VPR) requires scene representations tha...
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Words are not Equal: Graded Weighting Model for building Composite Document Vectors
Despite the success of distributional semantics, composing phrases from ...
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Variational Inference via Transformations on Distributions
Variational inference methods often focus on the problem of efficient mo...
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MultiAgent Diverse Generative Adversarial Networks
This paper describes an intuitive generalization to the Generative Adver...
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Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation
A control theoretic approach is presented in this paper for both batch a...
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Contextual RNNGANs for Abstract Reasoning Diagram Generation
Understanding, predicting, and generating object motions and transformat...
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Product Classification in ECommerce using Distributional Semantics
Product classification is the task of automatically predicting a taxonom...
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Recurrent Neural Networks for Driver Activity Anticipation via SensoryFusion Architecture
Anticipating the future actions of a human is a widely studied problem i...
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Nonconvex Optimization for Machine Learning
A vast majority of machine learning algorithms train their models and pe...
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Efficient and Consistent Robust Time Series Analysis
We study the problem of robust time series analysis under the standard a...
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Online Optimization Methods for the Quantification Problem
The estimation of class prevalence, i.e., the fraction of a population t...
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Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games
Simple board games, like TicTacToe and CONNECT4, play an important ro...
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AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
We propose a novel method for temporally pooling frames in a video for t...
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Constraint Satisfaction over Generalized Staircase Constraints
One of the key research interests in the area of Constraint Satisfaction...
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Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets
The goal of domain adaptation is to adapt models learned on a source dom...
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A Simplified Description of Fuzzy TOPSIS
A simplified description of Fuzzy TOPSIS (Technique for Order Preference...
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People Counting in High Density Crowds from Still Images
We present a method of estimating the number of people in high density c...
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On Translation Invariant Kernels and Screw Functions
We explore the connection between Hilbertian metrics and positive defini...
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Generalization Guarantees for a Binary Classification Framework for TwoStage Multiple Kernel Learning
We present generalization bounds for the TSMKL framework for two stage ...
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Mind the Gap: Subspace based Hierarchical Domain Adaptation
Domain adaptation techniques aim at adapting a classifier learnt on a so...
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Random Projection Trees Revisited
The Random Projection Tree structures proposed in [FreundDasgupta STOC0...
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Learning Spontaneity to Improve Emotion Recognition In Speech
We investigate the effect and usefulness of spontaneity in speech (i.e. ...
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A Deep Generative Framework for Paraphrase Generation
Paraphrase generation is an important problem in NLP, especially in ques...
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Text Summarization using Abstract Meaning Representation
With an ever increasing size of text present on the Internet, automatic ...
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SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
We present a feature vector formation technique for documents  Sparse C...
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A Bayesian Approach to Estimation of Speaker Normalization Parameters
In this work, a Bayesian approach to speaker normalization is proposed t...
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MinimumPhase HRTF Modeling of Pinna Spectral Notches using Group Delay Decomposition
Accurate reconstruction of HRTFs is important in the design and developm...
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A simple introduction to Karmarkar's Algorithm for Linear Programming
An extremely simple, description of Karmarkar's algorithm with very few ...
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Ellipsoid Method for Linear Programming made simple
In this paper, ellipsoid method for linear programming is derived using ...
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Indian Institute of Technology Kanpur
Indian Institute of Technology Kanpur is a public engineering institution located in Kanpur, Uttar Pradesh.