Pankaj Malhotra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
12
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WWW | UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. | Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Amit Singh, Cho-Jui Hsieh, Rohit Babbar |
| 2025 | WWW | Graph Regularized Encoder Training for Extreme Classification. | 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 |
| 2021 | CIKM | CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. | Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | ICDM | Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. | Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | IJCNN | Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. | Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP |
| 2020 | COMAD | Meta-Learning for Few-Shot Time Series Classification. | Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV |
| 2019 | AAAI | Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. | Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | ESANN | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. | Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff |
| 2019 | IJCNN | ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. | Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | SIGIR | Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. | Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2018 | COMAD | Online anomaly detection with concept drift adaptation using recurrent neural networks. | Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2018 | IJCAI | Using Features From Pre-trained TimeNET For Clinical Predictions. | Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2017 | ESANN | TimeNet: Pre-trained deep recurrent neural network for time series classification. | Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2015 | ESANN | Long Short Term Memory Networks for Anomaly Detection in Time Series. | Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal |
| 2014 | EDBT | Graph-Parallel Entity Resolution using LSH & IMM. | Pankaj Malhotra, Puneet Agarwal, Gautam Shroff |
| 2014 | FUSION | Incremental entity fusion from linked documents. | Pankaj Malhotra, Puneet Agarwal, Gautam Shroff |
| 2013 | BigData | Approximate Incremental Big-Data Harmonization. | Puneet Agarwal, Gautam Shroff, Pankaj Malhotra |