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Publication search results
found 260 matches
- 2024
- Ben Mansour Dia, Michael Fehler, Sanlinn I. Kaka, Andrea Scarinci, Umair bin Waheed, Chen Gu:
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion. J. Comput. Phys. 519: 113431 (2024) - Chaitanya Sreenivas Ravella, Prashanth Purnananda, Hanuma Kodavalla, Peter Byrne, Adrian-Leonard Radu, Wayne Chen, Srikanth Sampath, Naga Bhavana Atluri, Srinag Rao, Priyanka Kakade:
Optimized Locking in SQL Azure. ICDE 2024: 5132-5141 - Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener:
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. ICML 2024 - Sandeep Kakar, Rhea Basappa, Ida Camacho, Christopher Griswold, Alex Houk, Christopher Leung, Mustafa Tekman, Patrick Westervelt, Qiaosi Wang, Ashok K. Goel:
SAMI: An AI Actor for Fostering Social Interactions in Online Classrooms. ITS (1) 2024: 149-161 - Waqar Aziz, Andria Nicalaou, Charithea Stylianides, Andreas Panayides, Antonis C. Kakas, Efthyvoulous Kyriacou, Constantinos S. Pattichis:
Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction. MIE 2024: 1812-1816 - Christopher Beam, Jincheng Zhang, Nicholas Kakavitsas, Collin Hague, Artur Wolek, Andrew R. Willis:
Cesium Tiles for High-realism Simulation and Comparing SLAM Results in Corresponding Virtual and Real-world Environments. CoRR abs/2401.07962 (2024) - Nicholas Kakavitsas, Artur Wolek:
Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure. CoRR abs/2402.01518 (2024) - Collin Hague, Nicholas Kakavitsas, Jincheng Zhang, Christopher Beam, Andrew R. Willis, Artur Wolek:
Design and Flight Demonstration of a Quadrotor for Urban Mapping and Target Tracking Research. CoRR abs/2402.13195 (2024) - Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener:
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. CoRR abs/2402.14688 (2024) - Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila:
HeAR - Health Acoustic Representations. CoRR abs/2403.02522 (2024) - Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati:
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR abs/2405.18400 (2024) - Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee:
Scaling Laws in Linear Regression: Compute, Parameters, and Data. CoRR abs/2406.08466 (2024) - Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - Stephanie Wang, Shengchun Huang, Alvin Zhou, Danaë Metaxa:
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines. CoRR abs/2406.17097 (2024) - Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji:
Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR abs/2407.01100 (2024) - Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepti Chhabra, Shreshtha Jha, Manas Dhir, Deepak Gunjan, Jagadeesh Kakarla, Balasubramanian Raman:
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. CoRR abs/2408.04940 (2024) - Natalia Zhang, Xinqi Wang, Qiwen Cui, Runlong Zhou, Sham M. Kakade, Simon S. Du:
Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques. CoRR abs/2409.00717 (2024) - Reza Kakavand, Reza Ahmadi, Atousa Parsaei, W. Brent Edwards, Amin Komeili:
OpenCap markerless motion capture estimation of lower extremity kinematics and dynamics in cycling. CoRR abs/2409.03766 (2024) - 2023
- Muhammad Haris Kaka Khel, Kushsairy Abdul Kadir, Sheroz Khan, M. N. M. M. Noor, Haidawati Nasir, Nawaf Waqas, Akbar Khan:
Realtime Crowd Monitoring - Estimating Count, Speed and Direction of People Using Hybridized YOLOv4. IEEE Access 11: 56368-56379 (2023) - Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade:
Benign Overfitting of Constant-Stepsize SGD for Linear Regression. J. Mach. Learn. Res. 24: 326:1-326:58 (2023) - Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gökhan Tür, Prem Natarajan:
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages. ACL (1) 2023: 4277-4302 - Alison Crosby, Eric Coughlin Orenstein, Susan E. Poulton, Katherine L. C. Bell, Benjamin G. Woodward, Henry Ruhl, Kakani Katija, Angus G. Forbes:
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation. CHI 2023: 535:1-535:16 - Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, Danaë Metaxa, Motahhare Eslami, Kenneth Holstein:
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion 2023: 556-559 - Takumi Kuhara, Kakagu Komazaki, Junji Watanabe, Yoshihiro Tanaka:
Spatiotemporal Perception of Single Overlapped Vibrotactile Stimulation to Multiple Body Locations. WHC 2023: 162-168 - Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade:
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron. ICML 2023: 37919-37951 - Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade:
Learning High-Dimensional Single-Neuron ReLU Networks with Finite Samples. CoRR abs/2303.02255 (2023) - Alison Crosby, Eric C. Orenstein, Susan E. Poulton, Katherine L. C. Bell, Benjamin G. Woodward, Henry Ruhl, Kakani Katija, Angus G. Forbes:
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation. CoRR abs/2303.05480 (2023) - Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila:
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR abs/2305.05648 (2023) - Eric C. Orenstein, Kevin Barnard, Lonny Lundsten, Genevieve Patterson, Benjamin G. Woodward, Kakani Katija:
The FathomNet2023 Competition Dataset. CoRR abs/2307.08781 (2023) - Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani, Samer Adeeb, Roberto Souza, W. Brent Edwards, Amin Komeili:
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. CoRR abs/2312.00169 (2023)
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