Abhishek Thakur

26 papers B 1Misc 1Journal 12Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	AutoTrain: No-code training for state-of-the-art models. EMNLP (System Demonstrations) Abhishek Thakur
2024	J	`jnl`	AutoTrain: No-code training for state-of-the-art models. CoRR Abhishek Thakur
2024	—	`conf`	MADE: An MEC Supported Platform Independent and Version Agnostic Framework for Mobile Application Deployment. ANTS Arpit Tripathi, Abhishek Thakur, Abhinandan S. Prasad, Bheemarjuna Reddy Tamma, Subhrendu Chattopadhyay
2023	J	`jnl`	Evaluate the Performance of Deep CNN Algorithm based on Parameters and Various Geometrical Attacks. Wirel. Pers. Commun. Abhishek Thakur, Rajeev Ranjan
2023	J	`jnl`	Image encryption using discrete orthogonal Stockwell transform with fractional Fourier transform. Multim. Tools Appl. Rajeev Ranjan, Abhishek Thakur
2023	—	`conf`	POSTER: PriAuct: Privacy Preserving Auction Mechanism. ACNS Workshops Neha Joshi, Abhishek Thakur, A. Antony Franklin
2022	—	`conf`	Attack Graphs for Standalone Non-Public 5G Networks. FNWF Arpit Tripathi, Abhishek Thakur, Bheemarjuna Reddy Tamma
2022	—	`conf`	Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. EMNLP (Demos) Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo
2022	J	`jnl`	Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela
2022	B	`conf`	PPAS: Privacy-preserving Resource Discovery for Multi-domain SFC orchestration. ICCCN Neha Joshi, Rishabh Kumar, Abhishek Thakur, A. Antony Franklin, N. V. Narendra Kumar
2022	J	`jnl`	UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad
2021	—	`conf`	Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021	J	`jnl`	Datasets: A Community Library for Natural Language Processing. CoRR Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021	—	`conf`	RAFT: A Real-World Few-Shot Text Classification Benchmark. NeurIPS Datasets and Benchmarks Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller
2021	J	`jnl`	RAFT: A Real-World Few-Shot Text Classification Benchmark. CoRR Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller
2020	J	`jnl`	White Paper on Business of 6G. CoRR Seppo Yrjölä, Petri Ahokangas, Marja Matinmikko-Blue, Risto Jurva, Vivek Kant, Pasi Karppinen, Marianne Kinnula, Harilaos Koumaras, Mika Rantakokko, Volker Ziegler, Abhishek Thakur, Hans-Jürgen Zepernick
2018	J	`jnl`	Image forensics using color illumination, block and key point based approach. Multim. Tools Appl. Abhishek Thakur, Neeru Jindal
2018	—	`conf`	Talos App: On-Device Machine Learning Using TensorFlow to Detect Android Malware. IoTSMS Harshvardhan C. Takawale, Abhishek Thakur
2018	J	`jnl`	VECTORS: Video communication through opportunistic relays and scalable video coding. CoRR Abhishek Thakur, Arnav Dhamija, Tejeshwar Reddy G
2015	J	`jnl`	AutoCompete: A Framework for Machine Learning Competition. CoRR Abhishek Thakur, Artus Krohn-Grimberghe
2015	—	`conf`	Computer Vision for Head Pose Estimation: Review of a Competition. SCIA Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen
2014	J	`jnl`	Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests. Inf. Sci. Kamaldeep Singh, Sharath Chandra Guntuku, Abhishek Thakur, Chittaranjan Hota
2014	—	`conf`	Designing an extensible communication platform for rural area. ICACCI Abhishek Thakur, Chittaranjan Hota
2014	Misc	`conf`	HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets. COMAD Pratik Narang, Abhishek Thakur, Chittaranjan Hota
2013	—	`conf`	Sustainable wireless internet connectivity for rural areas. ICACCI Abhishek Thakur, Chittaranjan Hota
2009	—	`conf`	Generalized neuron based secure media access control protocol for wireless sensor networks. MCDM Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek Thakur, Sanjay Kumar Madria