Rectification-Based Knowledge Retention for Task Incremental Learning. - Mazumder, Pratik; Singh, Pravendra; Rai, Piyush; Namboodiri, Vinay P. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Text-Based Fine-Grained Emotion Prediction. - Singh, Gargi; Brahma, Dhanajit; Rai, Piyush; Modi, Ashutosh (IEEE Trans. Affect. Comput., 2024)

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. - Banerjee, Soumya; Verma, Vinay Kumar; Mukherjee, Avideep; Gupta, Deepak; Namboodiri, Vinay P.; Rai, Piyush (2024)

Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage. - Gupta, Aishwarya; Saha, Indranil; Rai, Piyush (CoRR, 2024)

RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance. - Mukherjee, Avideep; Banerjee, Soumya; Namboodiri, Vinay P.; Rai, Piyush (CoRR, 2024)

Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization. - Pal, Shivam; Gupta, Aishwarya; Sarwar, Saqib; Rai, Piyush (CoRR, 2024)

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture. - Pandey, Malay; Jain, Vaishali; Godhani, Nimit; Tripathi, Sachchida Nand; Rai, Piyush (CoRR, 2024)

Federated Learning with Uncertainty via Distilled Predictive Distributions. - Bhatt, Shrey; Gupta, Aishwarya; Rai, Piyush (2023)

Gradient Perturbation-based Efficient Deep Ensembles. - Chandak, Amit; Kar, Purushottam; Rai, Piyush (2023)

A Probabilistic Framework for Lifelong Test-Time Adaptation. - Brahma, Dhanajit; Rai, Piyush (2023)

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. - Banerjee, Soumya; Verma, Vinay Kumar; Mukherjee, Avideep; Gupta, Deepak; Namboodiri, Vinay P.; Rai, Piyush (CoRR, 2023)

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Pandey, Kushagra; Mukherjee, Avideep; Rai, Piyush; Kumar, Abhishek (Trans. Mach. Learn. Res., 2022)

Spacing Loss for Discovering Novel Categories. - Joseph, K. J.; Paul, Sujoy; Aggarwal, Gaurav; Biswas, Soma; Rai, Piyush; Han, Kai; Balasubramanian, Vineeth N. (2022)

Novel Class Discovery Without Forgetting. - Joseph, K. J.; Paul, Sujoy; Aggarwal, Gaurav; Biswas, Soma; Rai, Piyush; Han, Kai; Balasubramanian, Vineeth N. (2022)

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Pandey, Kushagra; Mukherjee, Avideep; Rai, Piyush; Kumar, Abhishek (CoRR, 2022)

Semi-Supervised Super-Resolution. - Singh, Ankur; Rai, Piyush (CoRR, 2022)

Spacing Loss for Discovering Novel Categories. - Joseph, K. J.; Paul, Sujoy; Aggarwal, Gaurav; Biswas, Soma; Rai, Piyush; Han, Kai; Balasubramanian, Vineeth N. (CoRR, 2022)

Bayesian Federated Learning via Predictive Distribution Distillation. - Bhatt, Shrey; Gupta, Aishwarya; Rai, Piyush (CoRR, 2022)

Novel Class Discovery without Forgetting. - Joseph, K. J.; Paul, Sujoy; Aggarwal, Gaurav; Biswas, Soma; Rai, Piyush; Han, Kai; Balasubramanian, Vineeth N. (CoRR, 2022)

A Probabilistic Framework for Lifelong Test-Time Adaptation. - Brahma, Dhanajit; Rai, Piyush (CoRR, 2022)

Few-Shot Lifelong Learning. - Mazumder, Pratik; Singh, Pravendra; Rai, Piyush (2021)

Generalized Adversarially Learned Inference. - Dandi, Yatin; Bharadhwaj, Homanga; Kumar, Abhishek; Rai, Piyush (2021)

Fine-Grained Emotion Prediction by Modeling Emotion Definitions. - Singh, Gargi; Brahma, Dhanajit; Rai, Piyush; Modi, Ashutosh (2021)

Efficient Feature Transformations for Discriminative and Generative Continual Learning. - Verma, Vinay Kumar; Liang, Kevin J.; Mehta, Nikhil; Rai, Piyush; Carin, Lawrence (2021)

Rectification-Based Knowledge Retention for Continual Learning. - Singh, Pravendra; Mazumder, Pratik; Rai, Piyush; Namboodiri, Vinay P. (2021)

Bayesian Structural Adaptation for Continual Learning. - Kumar, Abhishek; Chatterjee, Sunabha; Rai, Piyush (2021)

Knowledge Consolidation based Class Incremental Online Learning with Limited Data. - Karim, Mohammed Asad; Verma, Vinay Kumar; Singh, Pravendra; Namboodiri, Vinay P.; Rai, Piyush (2021)

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. - Varshney, Sakshi; Verma, Vinay Kumar; Srijith, P. K.; Carin, Lawrence; Rai, Piyush (2021)

Towards Zero-Shot Learning with Fewer Seen Class Examples. - Verma, Vinay Kumar; Mishra, Ashish; Pandey, Anubha; Murthy, Hema A.; Rai, Piyush (2021)

Few-Shot Lifelong Learning. - Mazumder, Pratik; Singh, Pravendra; Rai, Piyush (CoRR, 2021)

Efficient Continual Adaptation for Generative Adversarial Networks. - Varshney, Sakshi; Verma, Vinay Kumar; Carin, Lawrence; Rai, Piyush (CoRR, 2021)

Efficient Feature Transformations for Discriminative and Generative Continual Learning. - Verma, Vinay Kumar; Liang, Kevin J.; Mehta, Nikhil; Rai, Piyush; Carin, Lawrence (CoRR, 2021)

Variational Rejection Particle Filtering. - Sharma, Rahul; Banerjee, Soumya; Vats, Dootika; Rai, Piyush (CoRR, 2021)

Rectification-based Knowledge Retention for Continual Learning. - Singh, Pravendra; Mazumder, Pratik; Rai, Piyush; Namboodiri, Vinay P. (CoRR, 2021)

Knowledge Consolidation based Class Incremental Online Learning with Limited Data. - Karim, Mohammed Asad; Verma, Vinay Kumar; Singh, Pravendra; Namboodiri, Vinay P.; Rai, Piyush (CoRR, 2021)

Fine-Grained Emotion Prediction by Modeling Emotion Definitions. - Singh, Gargi; Brahma, Dhanajit; Rai, Piyush; Modi, Ashutosh (CoRR, 2021)

Hypernetworks for Continual Semi-Supervised Learning. - Brahma, Dhanajit; Verma, Vinay Kumar; Rai, Piyush (CoRR, 2021)

NeurInt : Learning to Interpolate through Neural ODEs. - Bose, Avinandan; Das, Aniket; Dandi, Yatin; Rai, Piyush (CoRR, 2021)

SITA: Single Image Test-time Adaptation. - Khurana, Ansh; Paul, Sujoy; Rai, Piyush; Biswas, Soma; Aggarwal, Gaurav (CoRR, 2021)

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (Int. J. Comput. Vis., 2020)

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (IEEE J. Sel. Top. Signal Process., 2020)

Graph Representation Learning via Ladder Gamma Variational Autoencoders. - Sarkar, Arindam; Mehta, Nikhil; Rai, Piyush (2020)

Meta-Learning for Generalized Zero-Shot Learning. - Verma, Vinay Kumar; Brahma, Dhanajit; Rai, Piyush (2020)

P-SIF: Document Embeddings Using Partition Averaging. - Gupta, Vivek; Saw, Ankit; Nokhiz, Pegah; Netrapalli, Praneeth; Rai, Piyush; Talukdar, Partha P. (2020)

Deep Attentive Ranking Networks for Learning to Order Sentences. - Kumar, Pawan; Brahma, Dhanajit; Karnick, Harish; Rai, Piyush (2020)

Variational Autoencoders for Sparse and Overdispersed Discrete Data. - Zhao, He; Rai, Piyush; Du, Lan; Buntine, Wray L.; Phung, Dinh; Zhou, Mingyuan (2020)

Calibrating CNNs for Lifelong Learning. - Singh, Pravendra; Verma, Vinay Kumar; Mazumder, Pratik; Carin, Lawrence; Rai, Piyush (2020)

Leveraging Filter Correlations for Deep Model Compression. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (2020)

A "Network Pruning Network" Approach to Deep Model Compression. - Verma, Vinay Kumar; Singh, Pravendra; Namboodiri, Vinay P.; Rai, Piyush (2020)

Jointly Trained Image and Video Generation using Residual Vectors. - Dandi, Yatin; Das, Aniket; Singhal, Soumye; Namboodiri, Vinay P.; Rai, Piyush (2020)

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. - Khare, Varun; Mahajan, Divyat; Bharadhwaj, Homanga; Verma, Vinay Kumar; Rai, Piyush (2020)

Deep Attentive Ranking Networks for Learning to Order Sentences. - Kumar, Pawan; Brahma, Dhanajit; Karnick, Harish; Rai, Piyush (CoRR, 2020)

A "Network Pruning Network" Approach to Deep Model Compression. - Verma, Vinay Kumar; Singh, Pravendra; Namboodiri, Vinay P.; Rai, Piyush (CoRR, 2020)

Quantile Regularization: Towards Implicit Calibration of Regression Models. - Utpala, Saiteja; Rai, Piyush (CoRR, 2020)

P-SIF: Document Embeddings Using Partition Averaging. - Gupta, Vivek; Saw, Ankit; Nokhiz, Pegah; Netrapalli, Praneeth; Rai, Piyush; Talukdar, Partha P. (CoRR, 2020)

Generalized Adversarially Learned Inference. - Dandi, Yatin; Bharadhwaj, Homanga; Kumar, Abhishek; Rai, Piyush (CoRR, 2020)

Towards Zero-Shot Learning with Fewer Seen Class Examples. - Verma, Vinay Kumar; Mishra, Ashish; Pandey, Anubha; Murthy, Hema A.; Rai, Piyush (CoRR, 2020)

A flexible probabilistic framework for large-margin mixture of experts. - Sharma, Archit; Saxena, Siddhartha; Rai, Piyush (Mach. Learn., 2019)

Distributional Semantics Meets Multi-Label Learning. - Gupta, Vivek; Wadbude, Rahul; Natarajan, Nagarajan; Karnick, Harish; Jain, Prateek; Rai, Piyush (2019)

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. - Vashishth, Shikhar; Bhandari, Manik; Yadav, Prateek; Rai, Piyush; Bhattacharyya, Chiranjib; Talukdar, Partha P. (2019)

Deep Topic Models for Multi-label Learning. - Panda, Rajat; Pensia, Ankit; Mehta, Nikhil; Zhou, Mingyuan; Rai, Piyush (2019)

Generative Model for Zero-Shot Sketch-Based Image Retrieval. - Verma, Vinay Kumar; Mishra, Aakansha; Mishra, Ashish; Rai, Piyush (2019)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (2019)

Stochastic Blockmodels meet Graph Neural Networks. - Mehta, Nikhil; Carin, Lawrence; Rai, Piyush (2019)

Play and Prune: Adaptive Filter Pruning for Deep Model Compression. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (2019)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (CoRR, 2019)

Generative Model for Zero-Shot Sketch-Based Image Retrieval. - Verma, Vinay Kumar; Mishra, Aakansha; Mishra, Ashish; Rai, Piyush (CoRR, 2019)

Variational Autoencoders for Sparse and Overdispersed Discrete Data. - Zhao, He; Rai, Piyush; Du, Lan; Buntine, Wray L.; Zhou, Mingyuan (CoRR, 2019)

Play and Prune: Adaptive Filter Pruning for Deep Model Compression. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (CoRR, 2019)

Stochastic Blockmodels meet Graph Neural Networks. - Mehta, Nikhil; Carin, Lawrence; Rai, Piyush (CoRR, 2019)

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. - Khare, Varun; Mahajan, Divyat; Bharadhwaj, Homanga; Verma, Vinay Kumar; Rai, Piyush (CoRR, 2019)

A Meta-Learning Framework for Generalized Zero-Shot Learning. - Verma, Vinay Kumar; Brahma, Dhanajit; Rai, Piyush (CoRR, 2019)

Refined α-Divergence Variational Inference via Rejection Sampling. - Sharma, Rahul; Kumar, Abhishek; Rai, Piyush (CoRR, 2019)

Nonparametric Bayesian Structure Adaptation for Continual Learning. - Kumar, Abhishek; Chatterjee, Sunabha; Rai, Piyush (CoRR, 2019)

On the relationship between multitask neural networks and multitask Gaussian Processes. - K, Karthikeyan; Bharti, Shubham Kumar; Rai, Piyush (CoRR, 2019)

Jointly Trained Image and Video Generation using Residual Vectors. - Dandi, Yatin; Das, Aniket; Singhal, Soumye; Namboodiri, Vinay P.; Rai, Piyush (CoRR, 2019)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wang, Wenlin; Pu, Yunchen; Verma, Vinay Kumar; Fan, Kai; Zhang, Yizhe; Chen, Changyou; Rai, Piyush; Carin, Lawrence (2018)

A Deep Generative Framework for Paraphrase Generation. - Gupta, Ankush; Agarwal, Arvind; Singh, Prawaan; Rai, Piyush (2018)

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. - Zhao, He; Rai, Piyush; Du, Lan; Buntine, Wray L. (2018)

Generalized Zero-Shot Learning via Synthesized Examples. - Verma, Vinay Kumar; Arora, Gundeep; Mishra, Ashish; Rai, Piyush (2018)

Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. - Arora, Gundeep; Porwal, Anupreet; Agarwal, Kanupriya; Samdariya, Avani; Rai, Piyush (2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition. - Mishra, Ashish; Verma, Vinay Kumar; Reddy, M. Shiva Krishna; Subramaniam, Arulkumar; Rai, Piyush; Mittal, Anurag (2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition. - Mishra, Ashish; Verma, Vinay Kumar; Reddy, M. Shiva Krishna; Subramaniam, Arulkumar; Rai, Piyush; Mittal, Anurag (CoRR, 2018)

Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. - Arora, Gundeep; Porwal, Anupreet; Agarwal, Kanupriya; Samdariya, Avani; Rai, Piyush (CoRR, 2018)

Graph Convolutional Networks based Word Embeddings. - Vashishth, Shikhar; Yadav, Prateek; Bhandari, Manik; Rai, Piyush; Bhattacharyya, Chiranjib; Talukdar, Partha P. (CoRR, 2018)

Leveraging Filter Correlations for Deep Model Compression. - Singh, Pravendra; Verma, Vinay Kumar; Rai, Piyush; Namboodiri, Vinay P. (CoRR, 2018)

Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. - Rai, Piyush (2017)

Deep Generative Models for Relational Data with Side Information. - Hu, Changwei; Rai, Piyush; Carin, Lawrence (2017)

Scalable Generative Models for Multi-label Learning with Missing Labels. - Jain, Vikas; Modhe, Nirbhay; Rai, Piyush (2017)

A Simple Exponential Family Framework for Zero-Shot Learning. - Verma, Vinay Kumar; Rai, Piyush (2017)

A Probabilistic Framework for Multi-Label Learning with Unseen Labels. - Gaure, Abhilash; Gupta, Aishwarya; Verma, Vinay Kumar; Rai, Piyush (2017)

A Simple Exponential Family Framework for Zero-Shot Learning. - Verma, Vinay Kumar; Rai, Piyush (CoRR, 2017)

A Deep Generative Framework for Paraphrase Generation. - Gupta, Ankush; Agarwal, Arvind; Singh, Prawaan; Rai, Piyush (CoRR, 2017)

Leveraging Distributional Semantics for Multi-Label Learning. - Wadbude, Rahul; Gupta, Vivek; Rai, Piyush; Natarajan, Nagarajan; Karnick, Harish (CoRR, 2017)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wang, Wenlin; Pu, Yunchen; Verma, Vinay Kumar; Fan, Kai; Zhang, Yizhe; Chen, Changyou; Rai, Piyush; Carin, Lawrence (CoRR, 2017)

Generalized Zero-Shot Learning via Synthesized Examples. - Arora, Gundeep; Verma, Vinay Kumar; Mishra, Ashish; Rai, Piyush (CoRR, 2017)

Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. - Hu, Changwei; Rai, Piyush; Carin, Lawrence (2016)

Topic-Based Embeddings for Learning from Large Knowledge Graphs. - Hu, Changwei; Rai, Piyush; Carin, Lawrence (2016)

Architecture-Adaptive Code Variant Tuning. - Muralidharan, Saurav; Roy, Amit; Hall, Mary W.; Garland, Michael; Rai, Piyush (2016)

Deep Metric Learning with Data Summarization. - Wang, Wenlin; Chen, Changyou; Chen, Wenlin; Rai, Piyush; Carin, Lawrence (2016)

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. - Wang, Wenlin; Chen, Changyou; Wang, Wenqi; Rai, Piyush; Carin, Lawrence (CoRR, 2016)

Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data. - Lian, Wenzhao; Rai, Piyush; Salazar, Esther; Carin, Lawrence (2015)

Leveraging Features and Networks for Probabilistic Tensor Decomposition. - Rai, Piyush; Wang, Yingjian; Carin, Lawrence (2015)

Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. - Zhen, Yi; Rai, Piyush; Zha, Hongyuan; Carin, Lawrence (2015)

Scalable Probabilistic Tensor Factorization for Binary and Count Data. - Rai, Piyush; Hu, Changwei; Harding, Matthew; Carin, Lawrence (2015)

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. - Rai, Piyush; Hu, Changwei; Henao, Ricardo; Carin, Lawrence (2015)

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. - Hu, Changwei; Rai, Piyush; Chen, Changyou; Harding, Matthew; Carin, Lawrence (2015)

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. - Hu, Changwei; Rai, Piyush; Carin, Lawrence (2015)

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. - Hu, Changwei; Rai, Piyush; Carin, Lawrence (CoRR, 2015)

Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. - Hu, Changwei; Rai, Piyush; Chen, Changyou; Harding, Matthew; Carin, Lawrence (CoRR, 2015)

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. - Rai, Piyush; Wang, Yingjian; Guo, Shengbo; Chen, Gary; Dunson, David B.; Carin, Lawrence (2014)

Learning Latent Structures Via Bayesian Nonparametrics: New Models and Efficient Interference. - Rai, Piyush (2013)

Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing. - Whang, Joyce Jiyoung; Rai, Piyush; Dhillon, Inderjit S. (2013)

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering. - Trivedi, Anusua; Rai, Piyush; Daumé, Hal, III; DuVall, Scott L. (ACM Trans. Intell. Syst. Technol., 2012)

Flexible Modeling of Latent Task Structures in Multitask Learning. - Passos, Alexandre; Rai, Piyush; Wainer, Jacques; Daumé, Hal, III (2012)

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. - Rai, Piyush; Kumar, Abhishek; Daumé, Hal, III (2012)

Beam Search based MAP Estimates for the Indian Buffet Process. - Rai, Piyush; Daumé, Hal, III (2011)

Video Scene Segmentation with a Semantic Similarity. - Kumar, Niraj; Rai, Piyush; Pulla, Chandrika; Jawahar, C. V. (2011)

Distinguishing locations across perimeters using wireless link measurements. - Zhang, Junxing; Kasera, Sneha Kumar; Patwari, Neal; Rai, Piyush (2011)

Message-Passing for Approximate MAP Inference with Latent Variables. - Jiang, Jiarong; Rai, Piyush; Daumé, Hal, III (2011)

Co-regularized Multi-view Spectral Clustering. - Kumar, Abhishek; Rai, Piyush; Daumé, Hal, III (2011)

Active Supervised Domain Adaptation. - Saha, Avishek; Rai, Piyush; Daumé, Hal, III; Venkatasubramanian, Suresh; DuVall, Scott L. (2011)

Online Learning of Multiple Tasks and Their Relationships. - Saha, Avishek; Rai, Piyush; Daumé, Hal, III; Venkatasubramanian, Suresh (2011)

Exploiting tag and word correlations for improved webpage clustering. - Trivedi, Anusua; Rai, Piyush; DuVall, Scott L.; Daumé, Hal, III (2010)

Infinite Predictor Subspace Models for Multitask Learning. - Rai, Piyush; Daumé, Hal, III (2010)

Streamed Learning: One-Pass SVMs. - Rai, Piyush; Daumé, Hal, III; Venkatasubramanian, Suresh (2009)

Multi-Label Prediction via Sparse Infinite CCA. - Rai, Piyush; Daumé, Hal, III (2009)

The Infinite Hierarchical Factor Regression Model - Rai, Piyush; Daumé, Hal, III (CoRR, 2009)

Streamed Learning: One-Pass SVMs - Rai, Piyush; Daumé, Hal, III; Venkatasubramanian, Suresh (CoRR, 2009)

The Infinite Hierarchical Factor Regression Model. - Rai, Piyush; Daumé, Hal, III (2008)