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Gaurav Bhatt
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2020 – today
- 2024
- [i9]Gaurav Bhatt, James Ross, Leonid Sigal:
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection. CoRR abs/2403.14797 (2024) - 2023
- [c9]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. BMVC 2023: 858-867 - [c8]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Mitigating the Effect of Incidental Correlations on Part-based Learning. NeurIPS 2023 - [c7]Gaurav Bhatt, Vineeth N. Balasubramanian:
Learning Style Subspaces for Controllable Unpaired Domain Translation. WACV 2023: 4209-4218 - [i8]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Mitigating the Effect of Incidental Correlations on Part-based Learning. CoRR abs/2310.00377 (2023) - [i7]Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew A. Turk:
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. CoRR abs/2312.01261 (2023) - 2022
- [i6]Puneet Kumar, Gaurav Bhatt, Omkar Ingle, Daksh Goyal, Balasubramanian Raman:
Affective Feedback Synthesis Towards Multimodal Text and Image Data. CoRR abs/2203.12692 (2022) - 2021
- [i5]Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian:
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. CoRR abs/2107.04952 (2021)
2010 – 2019
- 2019
- [j1]Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Representation learning using step-based deep multi-modal autoencoders. Pattern Recognit. 95: 12-23 (2019) - [c6]Lucky Agarwal, Kartik Thakral, Gaurav Bhatt, Ankush Mittal:
Authorship Clustering using TF-IDF weighted Word-Embeddings. FIRE 2019: 24-29 - 2018
- [c5]Shikhar Sharma, Ritesh Ratti, Ishaan Arora, Anshul Solanki, Gaurav Bhatt:
Automated Parsing of Geographical Addresses: A Multilayer Feedforward Neural Network Based Approach. ICSC 2018: 123-130 - [c4]Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal:
Combining Neural, Statistical and External Features for Fake News Stance Identification. WWW (Companion Volume) 2018: 1353-1357 - [i4]Gaurav Bhatt, Shivam Sharma, Balasubramanian Raman:
Attentive Recurrent Tensor Model for Community Question Answering. CoRR abs/1801.06792 (2018) - [i3]Gaurav Bhatt, Akshita Gupta, Aditya Arora, Balasubramanian Raman:
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture. CoRR abs/1811.00936 (2018) - 2017
- [c3]Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Common Representation Learning Using Step-Based Correlation Multi-modal CNN. ACPR 2017: 864-869 - [i2]Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Common Representation Learning Using Step-based Correlation Multi-Modal CNN. CoRR abs/1711.00003 (2017) - [i1]Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal:
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification. CoRR abs/1712.03935 (2017) - 2016
- [c2]Bhumika Gupta, Gaurav Bhatt, Ankush Mittal:
Language Identification and Disambiguation in Indian Mixed-Script. ICDCIT 2016: 113-121 - 2015
- [c1]Amit Agarwal, Bhumika Gupta, Gaurav Bhatt, Ankush Mittal:
Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service. FIRE 2015: 35-38
Coauthor Index
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