Akshay Badola

According to our database, Akshay Badola authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Shallow Transformers with Applications Towards Image and Text Classification.

Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal, Wilson Naik

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2025

2024

Efficient Self-Supervised Contrastive Learning with Representation Mixing.

Yash Kumar Sharma, Akshay Badola, Vineet Padmanabhan, Wilson Naik, Abdul Sattar

Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024

2023

Decomposing the deep: finding class-specific filters in deep CNNs.

Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal

Neural Comput. Appl., June, 2023

Re-examining Class Selectivity in Deep Convolutional Networks.

Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

2022

Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.

Brahmani Nutakki, Akshay Badola, Vineet Padmanabhan

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs.

Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal

CoRR, 2021

Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences.

Renjith P. Ravindran, Akshay Badola, Kavi Narayana Murthy

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2018

Multi-cell LSTM Based Neural Language Model.

Thomas Cherian, Akshay Badola, Vineet Padmanabhan

CoRR, 2018