Arindam Bhattacharya

According to our database, Arindam Bhattacharya authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Data-Dependent Generalization Bounds for Neural Networks with ReLU.

Harsh Pandey, Amitabha Bagchi, Srikanta J. Bedathur, Arindam Bhattacharya

Trans. Mach. Learn. Res., 2024

DISKCO : Disentangling Knowledge from Cross-Encoder to Bi-Encoder.

Ankith M. S, Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC).

Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Ankith M. S, Aayush Moroney, Atul Saroop, Rahul Bhagat

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning.

Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

CUPID: Curriculum Learning Based Real-Time Prediction using Distillation.

Arindam Bhattacharya, Ankith M. S, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters.

Arindam Bhattacharya, Chathur Gudesa, Amitabha Bagchi, Srikanta Bedathur

Proc. VLDB Endow., 2022

2021

Fast One-class Classification using Class Boundary-preserving Random Projections.

Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

FROCC: Fast Random projection-based One-Class Classification.

Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur

CoRR, 2020

Adaptive Learned Bloom Filters under Incremental Workloads.

Arindam Bhattacharya, Srikanta Bedathur, Amitabha Bagchi

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2017

Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites.

Arindam Bhattacharya, Johannes Weissenbock, Rephael Wenger, Artem Amirkhanov, Johann Kastner, Christoph Heinzl

IEEE Trans. Vis. Comput. Graph., 2017

A Survey of Question Answering for Math and Science Problem.

Arindam Bhattacharya

CoRR, 2017

2015

MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites.

Arindam Bhattacharya, Christoph Heinzl, Artem Amirkhanov, Johann Kastner, Rephael Wenger

Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2013

Constructing Isosurfaces with Sharp Edges and Corners using Cube Merging.

Arindam Bhattacharya, Rephael Wenger

Comput. Graph. Forum, 2013

2012

janardhan: Semantic Textual Similarity using Universal Networking Language graph matching.

Janardhan Singh, Arindam Bhattacharya, Pushpak Bhattacharyya

Proceedings of the 6th International Workshop on Semantic Evaluation, 2012