Aakanksha

15 papers A* 3C 1Journal 6Unranked 5
YearRankTypeTitle / 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