3 citations · 3 across the 4 of their papers we have counts for
5 papers
Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning
Deepika SN Vemuri, Sayanta Adhikari, Ankit Saha +2
Learning semantics is essential for deep learning models to be interpretable and better aligned with human reasoning. Concept-based models approach this by representing classes thr…
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal +2
Organisms constantly pivot between tasks such as evading predators, foraging, traversing rugged terrain, and socializing, often within milliseconds. Remarkably, they preserve knowl…
Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models
Krishn Vishwas Kher, Saksham Mittal, Aditya Varun +2
One of the main concerns while deploying machine learning models in real-world applications is fairness. Counterfactual fairness has emerged as an intuitive and natural definition…
Unsupervised Structural-Counterfactual Generation under Domain Shift
Krishn Vishwas Kher, Lokesh Venkata Siva Maruthi Badisa, Saksham Mittal +3
Motivated by the burgeoning interest in cross-domain learning, we present a novel generative modeling challenge: generating counterfactual samples in a target domain based on factu…
Q-PAC: Automated Detection of Quantum Bug-Fix Patterns
Pranav K. Nayak, Krishn V. Kher, M. Bharat Chandra +2
Context: Bug-fix pattern detection has been investigated in the past in the context of classical software. However, while quantum software is developing rapidly, the literature sti…