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ORCIDAmit Awekar
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2020 – today
- 2024
[c20]Rohit Raj Rai
, Rishant Pal, Amit Awekar:
Compressed Models are NOT Miniature Versions of Large Models. CIKM 2024: 4005-4009- [c19]Nidhi Ahlawat, Amit Awekar:
Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection. COMAD/CODS 2024: 582-583 - [c18]Rohit Raj Rai, Amit Awekar:
Effect of dimensionality change on the bias of word embeddings. COMAD/CODS 2024: 601-602 - [i16]Rohit Raj Rai, Rishant Pal, Amit Awekar:
Compressed models are NOT miniature versions of large models. CoRR abs/2407.13174 (2024) - [i15]Rohit Raj Rai, Angana Borah, Amit Awekar:
Application Specific Compression of Deep Learning Models. CoRR abs/2409.05368 (2024) - 2023
- [c17]Anuj Khare, Amit Awekar:
Surface Name Errors in Wikipedia. COMAD/CODS 2023: 123-127 - [c16]Akshay Parekh, Ashish Anand, Amit Awekar:
Relation Classification Model Performance as a Function of Dataset Label Noise. COMAD/CODS 2023: 139 - [i14]Akshay Parekh, Ashish Anand, Amit Awekar:
Noise in Relation Classification Dataset TACRED: Characterization and Reduction. CoRR abs/2311.12298 (2023) - [i13]Rohit Raj Rai, Amit Awekar:
Effect of dimensionality change on the bias of word embeddings. CoRR abs/2312.17292 (2023) - 2022
- [c15]Nidhi Ahlawat, Amit Awekar:
Scaling Up Mass-Based Clustering. CIKM 2022: 3781-3785 - [c14]Akshay Parekh, Ashish Anand, Amit Awekar:
Improving Relation Classification Using Relation Hierarchy. NLDB 2022: 315-322 - 2021
- [c13]Angana Borah, Manash Pratim Barman, Amit Awekar:
Are Word Embedding Methods Stable and Should We Care About It? HT 2021: 45-55 - [i12]Angana Borah, Manash Pratim Barman, Amit Awekar:
Are Word Embedding Methods Stable and Should We Care About It? CoRR abs/2104.08433 (2021) - [i11]Akshay Parekh, Ashish Anand, Amit Awekar:
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. CoRR abs/2112.13320 (2021) - 2020
- [c12]Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. COMAD/CODS 2020: 200-203
2010 – 2019
- 2019
- [c11]Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar:
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. AKBC 2019 - [c10]Manash Pratim Barman, Kavish Dahekar, Abhinav Anshuman, Amit Awekar:
It's only Words and Words Are All I Have. ECIR (2) 2019: 30-36 - [c9]Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar:
Collective Learning From Diverse Datasets for Entity Typing in the Wild. EYRE@CIKM 2019: 16-23 - [c8]Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula:
Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. ICMLA 2019: 673-679 - [c7]Manash Pratim Barman, Amit Awekar, Sambhav Kothari:
Decoding The Style And Bias of Song Lyrics. SIGIR 2019: 1165-1168 - [i10]Manash Pratim Barman, Kavish Dahekar, Abhinav Anshuman, Amit Awekar:
It's Only Words And Words Are All I Have. CoRR abs/1901.05227 (2019) - [i9]Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar:
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. CoRR abs/1904.13178 (2019) - [i8]Manash Pratim Barman, Amit Awekar, Sambhav Kothari:
Decoding the Style and Bias of Song Lyrics. CoRR abs/1907.07818 (2019) - [i7]Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. CoRR abs/1909.06249 (2019) - 2018
- [c6]Sweta Agrawal, Amit Awekar:
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. ECIR 2018: 141-153 - [i6]Sweta Agrawal, Amit Awekar:
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. CoRR abs/1801.06482 (2018) - [i5]Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar:
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. CoRR abs/1810.08782 (2018) - 2017
- [c5]Abhishek, Ashish Anand, Amit Awekar:
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. EACL (1) 2017: 797-807 - [c4]Siddhesh Khandelwal, Amit Awekar:
Faster K-Means Cluster Estimation. ECIR 2017: 520-526 - [c3]Panthadeep Bhattacharjee, Amit Awekar:
Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets. ECIR 2017: 568-574 - [c2]Anasua Mitra, Amit Awekar:
On Low Overlap among Search Results of Academic Search Engines. WWW (Companion Volume) 2017: 823-824 - [i4]Anasua Mitra, Amit Awekar:
On Low Overlap Among Search Results of Academic Search Engines. CoRR abs/1701.02617 (2017) - [i3]Siddhesh Khandelwal, Amit Awekar:
Faster K-Means Cluster Estimation. CoRR abs/1701.04600 (2017) - [i2]Panthadeep Bhattacharjee, Amit Awekar:
Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets. CoRR abs/1701.09049 (2017) - [i1]Abhishek, Ashish Anand, Amit Awekar:
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. CoRR abs/1702.06709 (2017) - 2013
- [c1]Sumeet Singh, Amit Awekar:
Incremental shared nearest neighbor density-based clustering. CIKM 2013: 1533-1536
Coauthor Index
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