14 papers
Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations
Jonas Klotz, Cassio F. Dantas, Pallavi Jain +2
Sparse autoencoders (SAEs) are increasingly used to extract interpretable concepts from vision and vision language models, yet existing evaluation methods largely rely on proxy met…
Bribery's Influence on Ranked Aggregation
Pallavi Jain, Anshul Thakur
Kemeny Consensus is a well-known rank aggregation method in social choice theory. In this method, given a set of rankings, the goal is to find a ranking that minimizes the tot…
TimeSenCLIP: A Time Series Vision-Language Model for Remote Sensing
Pallavi Jain, Diego Marcos, Dino Ienco +2
Vision-language models (VLMs) have shown significant promise in remote sensing applications, particularly for land-use and land-cover (LULC) mapping via zero-shot classification an…
Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Image Segmentation
Keiller Nogueira, Codrut-Andrei Diaconu, Dávid Kerekes +9
High-quality pixel-level annotations are essential for the semantic segmentation of remote sensing imagery. However, such labels are expensive to obtain and often affected by noise…
Robust Value Maximization in Challenge the Champ Tournaments with Probabilistic Outcomes
Umang Bhaskar, Juhi Chaudhary, Sushmita Gupta +2
Challenge the Champ is a simple tournament format, where an ordering of the players -- called a seeding -- is decided. The first player in this order is the initial champ, and face…
When agents choose bundles autonomously: guarantees beyond discrepancy
Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman +1
We consider the fair division of indivisible items among agents with additive non-negative normalized valuations, with the goal of obtaining high value guarantees, that is, clo…