
A Little Fog for a Large Turn
Small, carefully crafted perturbations called adversarial perturbations ...
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Active Learning with Weak Supervision for CostEffective Panicle Detection in Cereal Crops
Panicle density of cereal crops such as wheat and sorghum is one of the ...
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ZeroShot Task Transfer
In this work, we present a novel metalearning algorithm, i.e. TTNet, th...
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On the Benefits of Attributional Robustness
Interpretability is an emerging area of research in trustworthy machine ...
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Incremental Object Detection via MetaLearning
In a realworld setting, object instances from new classes may be contin...
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Automatic estimation of heading date of paddy rice using deep learning
Accurate estimation of heading date of paddy rice greatly helps the bree...
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MetaConsolidation for Continual Learning
The ability to continuously learn and adapt itself to new tasks, without...
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HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Recently, several Knowledge Graph Embedding (KGE) approaches have been d...
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MASON: A Model AgnoStic ObjectNess Framework
This paper proposes a simple, yet very effective method to localize domi...
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Enhanced Regularizers for Attributional Robustness
Deep neural networks are the default choice of learning models for compu...
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Efficient Gaussian Process Bandits by Believing only Informative Actions
Bayesian optimization is a framework for global search via maximum a pos...
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SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network
Next generation networks are expected to operate in licensed, shared as ...
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STWalk: Learning Trajectory Representations in Temporal Graphs
Analyzing the temporal behavior of nodes in timevarying graphs is usefu...
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ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent
Two major momentumbased techniques that have achieved tremendous succes...
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Tight Performance Bounds for Compressed Sensing With Group Sparsity
Compressed sensing refers to the recovery of a highdimensional but spar...
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DAiSEE: Towards User Engagement Recognition in the Wild
We introduce DAiSEE, the largest multilabel video classification datase...
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Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect
In this paper we introduce a new optimization formulation for sparse reg...
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An algorithmic approach to handle circular trading in commercial taxing system
Tax manipulation comes in a variety of forms with different motivations ...
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Linear Codes for Broadcasting with Noisy Side Information
We consider network coding for a noiseless broadcast channel where each ...
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On Locally Decodable Index Codes
Index coding achieves bandwidth savings by jointly encoding the messages...
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Signaturebased Criteria for Möller's Algorithm for Computing Gröbner Bases over Principal Ideal Domains
Signaturebased algorithms have become a standard approach for Gröbner b...
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On the Tractability of (k,i)Coloring
In an undirected graph, a proper (k, i)coloring is an assignment of a s...
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Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
Paucity of large curated handlabeled training data for every domainof...
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Bipartitioning Problems on Graphs with Bounded TreeWidth
For an undirected graph G, we consider the following problems: given a f...
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Modeling Continuous Video QoE Evolution: A State Space Approach
A rapid increase in the video traffic together with an increasing demand...
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Deep Gaussian Processes with Convolutional Kernels
Deep Gaussian processes (DGPs) provide a Bayesian nonparametric alterna...
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Robust Heartbeat Detection from Multimodal Data via CNNbased Generalizable Information Fusion
Objective: Heartbeat detection remains central to cardiac disease diagno...
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Streaming Video QoE Modeling and Prediction: A Long ShortTerm Memory Approach
HTTP based adaptive video streaming has become a popular choice of strea...
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Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions
In this paper, we study the problem of compressed sensing using binary m...
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A Socioinspired CALM Approach to Channel Assignment Performance Prediction and WMN Capacity Estimation
A significant amount of research literature is dedicated to interference...
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The Coin Problem in Constant Depth: Sample Complexity and Parity Gates
The δCoin Problem is the computational problem of distinguishing betwee...
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Graph Pattern Polynomials
We study the time complexity of induced subgraph isomorphism problems wh...
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A Signaturebased Algorithm for computing Computing Gröbner Bases over Principal Ideal Domains
Signaturebased algorithms have become a standard approach for Gröbner b...
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Codes for Updating Linear Functions over Small Fields
We consider a pointtopoint communication scenario where the receiver m...
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Locality in Index Coding for Large MinRank
An index code is said to be locally decodable if each receiver can decod...
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Signaturebased Möller's algorithm for strong Gröbner bases over PIDs
Signaturebased algorithms are the latest and most efficient approach as...
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Teaching GANs to Sketch in Vector Format
Sketching is more fundamental to human cognition than speech. Deep Neura...
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Obtaining Progress Guarantee and GreaterConcurrency in MultiVersion Object Semantics
Software Transactional Memory Systems (STMs) provides ease of multithrea...
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Index Codes with Minimum Locality for Three Receiver Unicast Problems
An index code for a broadcast channel with receiver side information is ...
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A Novel Beamformed Control Channel Design for LTE with Full DimensionMIMO
The Full DimensionMIMO (FDMIMO) technology is capable of achieving hug...
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Borrow from Anywhere: Pseudo Multimodal Object Detection in Thermal Imagery
Can we improve detection in the thermal domain by borrowing features fro...
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Learning Attentionbased Embeddings for Relation Prediction in Knowledge Graphs
The recent proliferation of knowledge graphs (KGs) coupled with incomple...
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Submodular Batch Selection for Training Deep Neural Networks
Minibatch gradient descent based methods are the de facto algorithms fo...
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DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain
In most of the modern day blockchain, transactions are executed serially...
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A Probabilistic Approach to Model SIC based RACH mechanism for Massive Machine Type Communications in Cellular Networks
In a cellular Internet of Things, burst transmissions from millions of m...
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Low PAPR Reference Signal Transceiver Design for 3GPP 5G NR Uplink
Low peaktoaveragepower ratio (PAPR) transmissions significantly impro...
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Charting the Right Manifold: Manifold Mixup for Fewshot Learning
Fewshot learning algorithms aim to learn model parameters capable of ad...
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Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs
In this paper we study the matrix completion problem: Suppose X ∈R^n_r ×...
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Sentiment Dynamics in Social Media News Channels
Social media is currently one of the most important means of news commun...
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IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
We propose IR2Vec, a Concise and Scalable encoding infrastructure to rep...
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Indian Institute of Technology Hyderabad
The Indian Institute of Technology Hyderabad is a public engineering and research institution located in Sangareddy district, Telangana, India.