Pankaj Malhotra

43 papers A* 4A 1B 5C 1Misc 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Regularized Encoder Training for Extreme Classification. WWW (Companion Volume) Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2025	A*	`conf`	UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. WWW Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Amit Singh, Cho-Jui Hsieh, Rohit Babbar
2024	J	`jnl`	CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma
2024	J	`jnl`	UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. CoRR Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Cho-Jui Hsieh, Rohit Babbar
2022	J	`jnl`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2022	J	`jnl`	Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat
2022	J	`jnl`	Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff
2021	A	`conf`	CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	A*	`conf`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	—	`conf`	Re-Imagining data analytics software development. ISEC Asha Rajbhoj, Prateek Dhawan, Vishnu TV, Pankaj Malhotra, Vinay Kulkarni
2021	J	`jnl`	Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
2021	B	`conf`	Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
2020	J	`jnl`	Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2020	J	`jnl`	Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	B	`conf`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. IJCNN Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. CoRR Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. CoRR Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	B	`conf`	Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff
2019	—	`conf`	Meta-Learning for Black-Box Optimization. ECML/PKDD (2) Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Black-box Optimization. CoRR Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Few-Shot Time Series Classification. CoRR Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2019	J	`jnl`	NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	A*	`conf`	Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. AAAI Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	A*	`conf`	Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. SIGIR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Online anomaly detection with concept drift adaptation using recurrent neural networks. COMAD/CODS Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2018	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Using Features From Pre-trained TimeNET For Clinical Predictions. KDH@IJCAI Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2017	J	`jnl`	Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. CoRR Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	B	`conf`	TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	J	`jnl`	TimeNet: Pre-trained deep recurrent neural network for time series classification. CoRR Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	J	`jnl`	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. CoRR Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	J	`jnl`	Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. CoRR Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	J	`jnl`	ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines. CoRR Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, Gautam Shroff
2015	B	`conf`	Long Short Term Memory Networks for Anomaly Detection in Time Series. ESANN Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2014	—	`conf`	Graph-Parallel Entity Resolution using LSH & IMM. EDBT/ICDT Workshops Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2014	J	`jnl`	Incremental Entity Resolution from Linked Documents. CoRR Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2014	C	`conf`	Incremental entity fusion from linked documents. FUSION Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2013	—	`conf`	Approximate Incremental Big-Data Harmonization. BigData Congress Puneet Agarwal, Gautam Shroff, Pankaj Malhotra
2008	Misc	`conf`	A Neural Network For Prognosis of Chronic Myeloid Leukemia. IC-AI Priyank Jindal, Pankaj Malhotra, V. Rihani, Sahil Rihani, Parkhi Sharma, Bhupendra Singh Chhabra