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Publication search results
found 95 matches
- 2024
- Mitchell Ekdahl, Sophia Ulman, Lauren Butler:
Relationship of Knee Abduction Moment to Trunk and Lower Extremity Segment Acceleration during Sport-Specific Movements. Sensors 24(5): 1454 (2024) - Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman:
In-Context Learning Dynamics with Random Binary Sequences. ICLR 2024 - Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. ICLR 2024 - Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka:
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. ICML 2024 - Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka:
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks. ICML 2024 - Hussam Habib, Ryan Stoldt, Andrew High, Brian Ekdale, Ashley M. Peterson, Katy Biddle, Javie Ssozi, Rishab Nithyanand:
Algorithmic amplification of biases on Google Search. CoRR abs/2401.09044 (2024) - Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka:
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. CoRR abs/2402.07757 (2024) - Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. CoRR abs/2406.19370 (2024) - Hussam Habib, Ryan Stoldt, Raven Maragh, Brian Ekdale, Rishab Nithyanand:
Uncovering the Interaction Equation: Quantifying the Effect of User Interactions on Social Media Homepage Recommendations. CoRR abs/2407.07227 (2024) - Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania:
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. CoRR abs/2407.10264 (2024) - Yash Zambre, Ekdev Rajkitkul, Akshatha Mohan, Joshua Peeples:
Spatial Transformer Network YOLO Model for Agricultural Object Detection. CoRR abs/2407.21652 (2024) - Dachao Wang, Alexander Maximov, Patrik Ekdahl, Thomas Johansson:
A new stand-alone MAC construct called SMAC. IACR Cryptol. ePrint Arch. 2024: 819 (2024) - 2023
- Mitchell Ekdahl, Alex M. Loewen, Ashley Erdman, Sarp Sahin, Sophia Ulman:
Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis. Sensors 23(18): 7987 (2023) - Ziyin Liu, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka:
What shapes the loss landscape of self supervised learning? ICLR 2023 - Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Scott Krueger, Hidenori Tanaka:
Mechanistic Mode Connectivity. ICML 2023: 22965-23004 - Shangrui Wu, Yupeng Li, Yang Xu, Qin Liu, Weijia Jia, Tian Wang:
EKDF: An Ensemble Knowledge Distillation Framework for Robust Collaborative Inference on Heterogeneous Edge Devices. MSN 2023: 191-198 - Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. NeurIPS 2023 - Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger:
What Mechanisms Does Knowledge Distillation Distill? UniReps 2023: 60-75 - Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. CoRR abs/2310.09336 (2023) - Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman:
In-Context Learning Dynamics with Random Binary Sequences. CoRR abs/2310.17639 (2023) - Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR abs/2311.12786 (2023) - Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana:
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks. CoRR abs/2311.12997 (2023) - Ekdeep Singh Lubana, Johann Brehmer, Pim de Haan, Taco Cohen:
FoMo Rewards: Can we cast foundation models as reward functions? CoRR abs/2312.03881 (2023) - 2022
- Sarah Ekdawi, Gaurav Patil, Rachel W. Kallen, Michael J. Richardson:
Modelling Competitive Human Action using Dynamical Motor Primitives for the Development of Human-Like Artificial Agents. CogSci 2022 - Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert P. Dick:
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. CoLLAs 2022: 819-837 - Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. ICML 2022: 14461-14484 - Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan:
Analyzing Data-Centric Properties for Graph Contrastive Learning. NeurIPS 2022 - Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra:
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW 2022: 1538-1549 - Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. CoRR abs/2205.11506 (2022)
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