1.5k citations · 6.3k across the 71 of their papers we have counts for
88 papers
Networked Signal and Information Processing
Stefan Vlaski, Soummya Kar, Ali H. Sayed +1
The article reviews significant advances in networked signal and information processing, which have enabled in the last 25 years extending decision making and inference, optimizati…
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das, Yu-Xiong Wang, JoséM. F. Moura
Few-shot classification aims at classifying categories of a novel task by learning from just a few (typically, 1 to 5) labelled examples. An effective approach to few-shot classifi…
Shuffler: A Large Scale Data Management Tool for ML in Computer Vision
Evgeny Toropov, Paola A. Buitrago, Jose M. F. Moura
Datasets in the computer vision academic research community are primarily static. Once a dataset is accepted as a benchmark for a computer vision task, researchers working on this…
Distributed Global Optimization by Annealing
Brian Swenson, Soummya Kar, H. Vincent Poor +1
The paper considers a distributed algorithm for global minimization of a nonconvex function. The algorithm is a first-order consensus + innovations type algorithm that incorporates…
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Satwik Kottur, José M. F. Moura, Devi Parikh +2
Visual Dialog is a multimodal task of answering a sequence of questions grounded in an image, using the conversation history as context. It entails challenges in vision, language,…
Towards Aggregating Weighted Feature Attributions
Umang Bhatt, Pradeep Ravikumar, Jose M. F. Moura
Current approaches for explaining machine learning models fall into two distinct classes: antecedent event influence and value attribution. The former leverages training instances…