Search Results for author: Tanya Berger-Wolf

Found 17 papers, 8 papers with code

Modeling Access Differences to Reduce Disparity in Resource Allocation

no code implementations31 Jan 2024 Kenya Andrews, Mesrob Ohannessian, Tanya Berger-Wolf

Motivated by COVID-19 vaccine allocation, where vulnerable subpopulations are simultaneously more impacted in terms of health and more disadvantaged in terms of access to the vaccine, we formalize and study the problem of resource allocation when there are inherent access differences that correlate with advantage and disadvantage.

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs

no code implementations31 Dec 2023 Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su

In this work, we leverage the structured context associated with the camera trap images to improve out-of-distribution generalization for the task of species identification in camera traps.

Knowledge Graphs Link Prediction +1

BioCLIP: A Vision Foundation Model for the Tree of Life

1 code implementation CVPR 2024 Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su

We then develop BioCLIP, a foundation model for the tree of life, leveraging the unique properties of biology captured by TreeOfLife-10M, namely the abundance and variety of images of plants, animals, and fungi, together with the availability of rich structured biological knowledge.

Reflections from the Workshop on AI-Assisted Decision Making for Conservation

no code implementations17 Jul 2023 Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

In this white paper, we synthesize key points made during presentations and discussions from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for Research on Computation and Society at Harvard University on October 20-21, 2022.

Decision Making

Fairness-aware Summarization for Justified Decision-Making

no code implementations13 Jul 2021 Moniba Keymanesh, Tanya Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy

In other words, decision-relevant features should provide sufficient information for the predicted outcome and should be independent of the membership of individuals in protected groups such as race and gender.

Data Poisoning Decision Making +1

Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions

1 code implementation4 Jun 2021 Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Berger-Wolf, Elena Zheleva

Cannabis legalization has been welcomed by many U. S. states but its role in escalation from tobacco e-cigarette use to cannabis vaping is unclear.

Stance Detection Weakly-supervised Learning

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

1 code implementation19 Mar 2021 Aynaz Taheri, Kevin Gimpel, Tanya Berger-Wolf

Recently, a few studies have focused on learning temporal information in addition to the topology of a graph.

Decoder Graph Classification +1

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis

2 code implementations1 Feb 2020 Chainarong Amornbunchornvej, Elena Zheleva, Tanya Berger-Wolf

We demonstrate our approaches on an application for studying coordinated collective behavior and other real-world casual-inference datasets and show that our proposed approaches perform better than several existing methods in both simulated and real-world datasets.

Causal Inference Dynamic Time Warping +3

Framework for Inferring Following Strategies from Time Series of Movement Data

1 code implementation4 Nov 2019 Chainarong Amornbunchornvej, Tanya Berger-Wolf

Given a set of time series that includes coordinated movement and a set of candidate strategies as inputs, we provide the first methodology (to the best of our knowledge) to infer whether each individual uses local-agreement-system or dictatorship-like strategy to achieve movement coordination at the group level.

Leadership Inference Model Selection +2

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"

1 code implementation ICCV 2019 Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black

In contrast to research on human pose, shape and texture estimation, training data for endangered species is limited, the animals are in complex natural scenes with occlusion, they are naturally camouflaged, travel in herds, and look similar to each other.

Pose Estimation Texture Synthesis

Animal Wildlife Population Estimation Using Social Media Images Collections

no code implementations5 Aug 2019 Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Berger-Wolf

Social media is the rich source of wildlife images, which come with a huge bias, thus thwarting traditional population size estimate approaches.

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