Akshit Achara

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Way Representation Alignment.
CoRR
Akshit Achara, Tatiana Gaintseva, Mateo Mahaut, Pritish Chakraborty, Viktor Stenby Johansson, Melih Barsbey, Emanuele Rodolà, Donato Crisostomi
2026 J jnl
Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast.
CoRR
Mehmet Yigit Avci, Akshit Achara, Andrew King, Jorge Cardoso
2025 — conf
Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer's Disease Classification.
FAIMI@MICCAI
Akshit Achara, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025 J jnl
Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification.
CoRR
Akshit Achara, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025 J jnl
Localising Shortcut Learning in Pixel Space via Ordinal Scoring Correlations for Attribution Representations (OSCAR).
CoRR
Akshit Achara, Peter Triantafillou, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025 — conf
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers.
NAACL (Short Papers)
Akshit Achara, Anshuman Chhabra
2025 J jnl
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers.
CoRR
Akshit Achara, Anshuman Chhabra
2024 — conf
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques.
BioNLP@ACL
Akshit Achara, Sanand Sasidharan, Gagan N
2024 J jnl
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques.
CoRR
Akshit Achara, Sanand Sasidharan, Gagan N
2024 J jnl
Revealing the underlying patterns: Investigating dataset similarity, performance, and generalization.
Neurocomputing
Akshit Achara, Ram Krishna Pandey
2024 J jnl
TrueDeep: A systematic approach of crack detection with less data.
Expert Syst. Appl.
Ram Krishna Pandey, Akshit Achara
2023 — conf
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity.
CVIP (1)
Ram Krishna Pandey, Akshit Achara
2023 J jnl
Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization.
CoRR
Akshit Achara, Ram Krishna Pandey
2023 J jnl
TrueDeep: A systematic approach of crack detection with less data.
CoRR
Ram Krishna Pandey, Akshit Achara
2022 J jnl
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity.
CoRR
Ram Krishna Pandey, Akshit Achara