Aakanksha - RankMe

15 papers A* 3C 1Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SimMerge: Learning to Select Merge Operators from Similarity Signals. CoRR Oliver Bolton, Aakanksha, Arash Ahmadian, Sara Hooker, Marzieh Fadaee, Beyza Ermis
2025	—	`conf`	Governing the Digital Commons: A Blockchain-based Decentralised Autonomous Organisations Framework for Ecosystem Coordination. ACIS Aakanksha, Gabrielle Peko, David Sundaram
2025	J	`jnl`	The Multilingual Divide and Its Impact on Global AI Safety. CoRR Aidan Peppin, Julia Kreutzer, Alice Schoenauer Sebag, Kelly Marchisio, Beyza Ermis, John Dang, Samuel Cahyawijaya, Shivalika Singh, Seraphina Goldfarb-Tarrant, Viraat Aryabumi, Aakanksha, Wei-Yin Ko, Ahmet Üstün, Matthias Gallé, Marzieh Fadaee, Sara Hooker
2024	—	`conf`	Mental Health Service Utilisation in New Zealand: Exploring Disparities and Inequities among Marginalised Indigenous Groups. ACIS Peng Li, Aakanksha, David Sundaram
2024	J	`jnl`	Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning. CoRR Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant, Beyza Ermis, Marzieh Fadaee, Sara Hooker
2024	—	`conf`	Optimising Smart Ecosystems: A Transformational Roadmap for Decentralised Autonomous Organisations. ACIS Aakanksha, David Sundaram
2024	A*	`conf`	The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. EMNLP Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
2024	J	`jnl`	The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
2023	A*	`conf`	Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation. CVPR Aakanksha, A. N. Rajagopalan
2021	A*	`conf`	Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization. ICCV Kranthi Kumar Rachavarapu, Aakanksha, Vignesh Sundaresha, A. N. Rajagopalan
2021	—	`conf`	Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces. ECML/PKDD (4) Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri, Vineet Chaoji
2020	—	`conf`	Robust Super-Resolution of Real Faces Using Smooth Features. ECCV Workshops (1) Saurabh Goswami, Aakanksha, A. N. Rajagopalan
2020	J	`jnl`	Robust Super-Resolution of Real Faces using Smooth Features. CoRR Saurabh Goswami, Aakanksha, A. N. Rajagopalan
2020	C	`conf`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
2020	J	`jnl`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar