Samuel Stevens

According to our database, Samuel Stevens authored at least 22 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video.

Maksim Kholiavchenko, Jenna Kline, Maksim Kukushkin, Otto Brookes, Sam Stevens, Isla Duporge, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Majid Mirmehdi, Thomas Schmid, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Tilo Burghardt, Charles V. Stewart

Multim. Tools Appl., June, 2025

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning.

Jianyang Gu, Samuel Stevens, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James P. Balhoff, Wasila M. Dahdul, Daniel I. Rubenstein, Hilmar Lapp, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su

CoRR, May, 2025

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens.

Alyson East, Elizabeth G. Campolongo, Luke Meyers, S. M. Rayeed, Samuel Stevens, Iuliia Zarubiieva, Isadora E. Fluck, Jennifer C. Girón, Maximiliane Jousse, Scott C. Lowe, Kayla I Perry, Isabelle Betancourt, Noah Charney, Evan Donoso, Nathan Fox, Kim J. Landsbergen, Ekaterina Nepovinnykh, Michelle Ramirez, Parkash Singh, Khum Thapa-Magar, Matthew J. Thompson, Evan Waite, Tanya Y. Berger-Wolf, Hilmar Lapp, Paula M. Mabee, Graham Taylor, Sydne Record

CoRR, May, 2025

BeetleVerse: A study on taxonomic classification of ground beetles.

S. M. Rayeed, Alyson East, Samuel Stevens, Sydne Record, Charles V. Stewart

CoRR, April, 2025

MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset.

Jenna Kline, Samuel Stevens, Guy Maalouf, Camille Rondeau Saint-Jean, Dat Nguyen Ngoc, Majid Mirmehdi, David Guérin, Tilo Burghardt, Elzbieta Pastucha, Blair Costelloe, Matthew Watson, Thomas Richardson, Ulrik Pagh Schultz Lundquist

CoRR, April, 2025

Mind the Gap: Evaluating Vision Systems in Small Data Applications.

Samuel Stevens, S. M. Rayeed, Jenna Kline

CoRR, April, 2025

Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models.

Samuel Stevens, Wei-Lun Chao, Tanya Y. Berger-Wolf, Yu Su

CoRR, February, 2025

2024

SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.

Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

The cool and the cruel: separating hard parts of LWE secrets.

Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.

Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Mind2Web: Towards a Generalist Agent for the Web.

Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su

CoRR, 2023

Memorization for Good: Encryption with Autoregressive Language Models.

Samuel Stevens, Yu Su

CoRR, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.

Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

A Framework for Autonomic Computing for In Situ Imageomics.

Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.

Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun

CoRR, 2022

arXivEdits: Understanding the Human Revision Process in Scientific Writing.

Chao Jiang, Wei Xu, Samuel Stevens

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

An Investigation of Language Model Interpretability via Sentence Editing.

Samuel Stevens, Yu Su

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Understanding How BERT Learns to Identify Edits.

Samuel Stevens, Yu Su

CoRR, 2020

2013

Cloud-Based Software Platform for Big Data Analytics in Smart Grids.

Yogesh Simmhan, Saima Aman, Alok Gautam Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, Viktor K. Prasanna

Comput. Sci. Eng., 2013