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Poster
Wed 11:00 On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
Daniel Haimovich · Dima Karamshuk · Fridolin Linder · Niek Tax · Milan Vojnovic
Workshop
Bayesian Optimization of High-dimensional Outputs with Human Feedback
Qing Feng · Zhiyuan Jerry Lin · Yujia Zhang · Ben Letham · Jelena Markovic-Voronov · Ryan-Rhys Griffiths · Peter Frazier · Eytan Bakshy
Poster
Wed 16:30 AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
ChuNan Liu · Lilian Denzler · Yihong Chen · Andrew Martin · Brooks Paige
Poster
Wed 16:30 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Alexander Rutherford · Benjamin Ellis · Matteo Gallici · Jonathan Cook · Andrei Lupu · Garðar Ingvarsson Juto · Timon Willi · Ravi Hammond · Akbir Khan · Christian Schroeder de Witt · Alexandra Souly · Saptarashmi Bandyopadhyay · Mikayel Samvelyan · Minqi Jiang · Robert Lange · Shimon Whiteson · Bruno Lacerda · Nick Hawes · Tim Rocktäschel · Chris Lu · Jakob Foerster
Workshop
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Cédric ROMMEL · Victor Letzelter · Nermin Samet · Renaud Marlet · Matthieu Cord · Patrick Perez · Eduardo Valle
Poster
Wed 16:30 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Xuezhe Ma · Xiaomeng Yang · Wenhan Xiong · Beidi Chen · LILI YU · Hao Zhang · Jonathan May · Luke Zettlemoyer · Omer Levy · Chunting Zhou