Research Papers from the Department in the year 2020-21

Research papers published in Journals

• , Acceleration of Deep Convolutional Neural Networks using Adaptive Filter Pruning
• , Building strategies affect concept map quality
• , EDS Pooling Layer
• , Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization
• , Functional Analysis Attacks on Logic Locking
• , GIFSL - Grafting based Improved Few-Shot Learning
• , GIFSL - grafting based improved few-shot learning

Research papers published in Conferences

• , A "Network Pruning Network" Approach to Deep Model Compression
• , A Methodology for Principled Approximation in Visual SLAM
• , A recommender system for informal bibliotherapy
• , Accuracy booster: Performance boosting using feature map re-calibration
• , Accuracy Booster: Performance Boosting using Feature Map Re-calibration
• , Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications
• , Bouquet of Instruction Pointers: Instruction Pointer Classifier-based Spatial Hardware Prefetching
• , Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers
• , Communication-aware Job Scheduling using SLURM
• , Computing Igusa's local zeta function of univariates in deterministic polynomial-time
• , Cooperative Initialization based Deep Neural Network Training
• , Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos
• , CPWC: Contextual Point Wise Convolution for Object Recognition
• , CPWC: Contextual point wise convolution for object recognition
• , Deep Attentive Ranking Networks for Learning to Order Sentences
• , Graph Representation Learning via Ladder Gamma Variational Autoencoders
• , Hardness of Approximation of (Multi-)LCS over Small Alphabet
• , HyperFuzzing for SoC Security Validation
• , Inducing Preference Reversals by Manipulating Revealed Preferences
• , Leveraging Filter Correlations for Deep Model Compression
• , Limits on Predictability of Risky Choice Behavior
• , MACER: A Modular Framework for Accelerated Compilation Error Repair
• , Manthan : A Data Driven Approach for Skolem Function Synthesis
• , Meta-Learning for Generalized Zero-Shot Learning
• , Mincut Sensitivity Data Structures for the Insertion of an Edge
• , Minimizing Supervision in Multi-label Categorization
• , Network and Load-aware Resource Manager for MPI Programs
• , P-SIF: Document Embeddings using Partition Averaging
• , Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
• , Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
• , Peacenik: Architecture Support for Not Failing under Fail-Stop Memory Consistency
• , Randomness and effective dimension of continued fractions
• , SkipConv: Skip Convolution for Computationally Efficient Deep CNNs
• , Special-case algorithms for blackbox radical membership, Nullstellensatz and transcendence degree
• , Thermal Load-aware Adaptive Scheduling for Heterogeneous Platforms
• , Using conceptual incongruity as a basis for making recommendations
• , Variational Autoencoders for Sparse and Overdispersed Discrete Data
• , Verification of Quantitative Hyperproperties Using Trace Enumeration Relations

 

Research Areas | Publications | SIGTACS | SESRes | SIGDATA | SURGE | SIGML | Vision