Piyush Rai

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 97

Top Venues

Publications

Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. ICRA (2024)
Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri
Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi
Text-Based Fine-Grained Emotion Prediction. IEEE Trans. Affect. Comput. 15 (2) (2024)
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. CoRR (2023)
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
Federated Learning with Uncertainty via Distilled Predictive Distributions. ACML (2023)
Dhanajit Brahma, Piyush Rai
A Probabilistic Framework for Lifelong Test-Time Adaptation. CVPR (2023)
Amit Chandak, Purushottam Kar, Piyush Rai
Gradient Perturbation-based Efficient Deep Ensembles. COMAD/CODS (2023)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CoRR (2022)
Ankur Singh, Piyush Rai
Semi-Supervised Super-Resolution. CoRR (2022)
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. CoRR (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery Without Forgetting. ECCV (24) (2022)
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
Bayesian Federated Learning via Predictive Distribution Distillation. CoRR (2022)
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. Trans. Mach. Learn. Res. 2022 (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery without Forgetting. CoRR (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CVPR Workshops (2022)
Dhanajit Brahma, Piyush Rai
A Probabilistic Framework for Lifelong Test-Time Adaptation. CoRR (2022)
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
Bayesian Structural Adaptation for Continual Learning. ICML (2021)
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
Generalized Adversarially Learned Inference. AAAI (2021)
Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi
Fine-Grained Emotion Prediction by Modeling Emotion Definitions. CoRR (2021)
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
Towards Zero-Shot Learning with Fewer Seen Class Examples. WACV (2021)
Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
Rectification-based Knowledge Retention for Continual Learning. CoRR (2021)
Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
Rectification-Based Knowledge Retention for Continual Learning. CVPR (2021)
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
Efficient Continual Adaptation for Generative Adversarial Networks. CoRR (2021)
Rahul Sharma, Soumya Banerjee, Dootika Vats, Piyush Rai
Variational Rejection Particle Filtering. CoRR (2021)
Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal
SITA: Single Image Test-time Adaptation. CoRR (2021)
Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi
Fine-Grained Emotion Prediction by Modeling Emotion Definitions. ACII (2021)
Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai
Hypernetworks for Continual Semi-Supervised Learning. CoRR (2021)
Pratik Mazumder, Pravendra Singh, Piyush Rai
Few-Shot Lifelong Learning. CoRR (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR (2021)
Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI (2021)
Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai
NeurInt : Learning to Interpolate through Neural ODEs. CoRR (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR (2021)
Pratik Mazumder, Pravendra Singh, Piyush Rai
Few-Shot Lifelong Learning. AAAI (2021)
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
Generalized Adversarially Learned Inference. CoRR (2020)
Saiteja Utpala, Piyush Rai
Quantile Regularization: Towards Implicit Calibration of Regression Models. CoRR (2020)
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
Meta-Learning for Generalized Zero-Shot Learning. AAAI (2020)
Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai
Deep Attentive Ranking Networks for Learning to Order Sentences. AAAI (2020)
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
Towards Zero-Shot Learning with Fewer Seen Class Examples. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. WACV (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. WACV (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128 (8) (2020)
Arindam Sarkar, Nikhil Mehta, Piyush Rai
Graph Representation Learning via Ladder Gamma Variational Autoencoders. AAAI (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. CoRR (2020)
Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai
Deep Attentive Ranking Networks for Learning to Order Sentences. CoRR (2020)
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
P-SIF: Document Embeddings Using Partition Averaging. AAAI (2020)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV (2020)
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
Calibrating CNNs for Lifelong Learning. NeurIPS (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
P-SIF: Document Embeddings Using Partition Averaging. CoRR (2020)
Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai
Jointly Trained Image and Video Generation using Residual Vectors. WACV (2020)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI (2019)
Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai
Jointly Trained Image and Video Generation using Residual Vectors. CoRR (2019)
Karthikeyan K, Shubham Kumar Bharti, Piyush Rai
On the relationship between multitask neural networks and multitask Gaussian Processes. CoRR (2019)
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CoRR (2019)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR (2019)
Archit Sharma, Siddhartha Saxena, Piyush Rai
A flexible probabilistic framework for large-margin mixture of experts. Mach. Learn. 108 (8-9) (2019)
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
Nonparametric Bayesian Structure Adaptation for Continual Learning. CoRR (2019)
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. ACL (1) (2019)
Nikhil Mehta, Lawrence Carin, Piyush Rai
Stochastic Blockmodels meet Graph Neural Networks. CoRR (2019)
Nikhil Mehta, Lawrence Carin, Piyush Rai
Stochastic Blockmodels meet Graph Neural Networks. ICML (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR (2019)
Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai
Deep Topic Models for Multi-label Learning. AISTATS (2019)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR (2019)
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CVPR Workshops (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR (2019)
Rahul Sharma, Abhishek Kumar, Piyush Rai
Refined α-Divergence Variational Inference via Rejection Sampling. CoRR (2019)
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
A Meta-Learning Framework for Generalized Zero-Shot Learning. CoRR (2019)
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
Distributional Semantics Meets Multi-Label Learning. AAAI (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. CoRR (2018)
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
Graph Convolutional Networks based Word Embeddings. CoRR (2018)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS (2018)
Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. IJCAI (2018)
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai
Generalized Zero-Shot Learning via Synthesized Examples. CVPR (2018)
Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. CoRR (2018)
Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. WACV (2018)
Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. CoRR (2018)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI (2018)
Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai
A Deep Generative Framework for Paraphrase Generation. AAAI (2018)
Vikas Jain, Nirbhay Modhe, Piyush Rai
Scalable Generative Models for Multi-label Learning with Missing Labels. ICML (2017)
Gundeep Arora, Vinay Kumar Verma, Ashish Mishra, Piyush Rai
Generalized Zero-Shot Learning via Synthesized Examples. CoRR (2017)
Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick
Leveraging Distributional Semantics for Multi-Label Learning. CoRR (2017)
Piyush Rai
Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. AAAI (2017)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR (2017)
Vinay Kumar Verma, Piyush Rai
A Simple Exponential Family Framework for Zero-Shot Learning. CoRR (2017)
Changwei Hu, Piyush Rai, Lawrence Carin
Deep Generative Models for Relational Data with Side Information. ICML (2017)
Vinay Kumar Verma, Piyush Rai
A Simple Exponential Family Framework for Zero-Shot Learning. ECML/PKDD (2) (2017)
Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai
A Deep Generative Framework for Paraphrase Generation. CoRR (2017)
Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai
A Probabilistic Framework for Multi-Label Learning with Unseen Labels. UAI (2017)
Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
Deep Metric Learning with Data Summarization. ECML/PKDD (1) (2016)
Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR (2016)
Changwei Hu, Piyush Rai, Lawrence Carin
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. AISTATS (2016)
Saurav Muralidharan, Amit Roy, Mary W. Hall, Michael Garland, Piyush Rai
Architecture-Adaptive Code Variant Tuning. ASPLOS (2016)
Changwei Hu, Piyush Rai, Lawrence Carin
Topic-Based Embeddings for Learning from Large Knowledge Graphs. AISTATS (2016)
Changwei Hu, Piyush Rai, Lawrence Carin
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. CoRR (2015)
Changwei Hu, Piyush Rai, Lawrence Carin
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. UAI (2015)
Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin
Scalable Probabilistic Tensor Factorization for Binary and Count Data. IJCAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Piyush Rai