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816 Results
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Workshop
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Emergence in non-neural models: grokking modular arithmetic via average gradient outer product Neil Mallinar · Daniel Beaglehole · Libin Zhu · Adityanarayanan Radhakrishnan · Parthe Pandit · Misha Belkin |
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Workshop
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Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory Romain Ilbert · Malik Tiomoko · Cosme Louart · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |
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Poster
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Wed 16:30 |
Cloud Object Detector Adaptation by Integrating Different Source Knowledge Shuaifeng Li · Mao Ye · Lihua Zhou · Nianxin Li · Siying Xiao · Song Tang · Xiatian Zhu |
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Poster
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Thu 16:30 |
Fine-Tuning is Fine, if Calibrated Zheda Mai · Arpita Chowdhury · Ping Zhang · Cheng-Hao Tu · Hong-You Chen · Vardaan Pahuja · Tanya Berger-Wolf · Song Gao · Charles Stewart · Yu Su · Wei-Lun (Harry) Chao |
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Poster
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Thu 16:30 |
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert · Malik Tiomoko · Cosme Louart · Ambroise Odonnat · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |
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Poster
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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 |
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Poster
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Thu 16:30 |
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie · Samira Samadi |
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Poster
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Wed 16:30 |
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li · Penghao Zhao · Hailin Zhang · Xingwu Sun · Hao Wu · Dian Jiao · Weiyan Wang · Chengjun Liu · Zheng Fang · Jinbao Xue · Yangyu Tao · Bin CUI · Di Wang |
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI Gopinaath Kannabiran · Sacha Knox |
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Poster
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Fri 11:00 |
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit Trivedi · Akbir Khan · Jesse Clifton · Lewis Hammond · Edgar Duenez-Guzman · Dipam Chakraborty · John Agapiou · Jayd Matyas · Sasha Vezhnevets · Barna Pásztor · Yunke Ao · Omar G. Younis · Jiawei Huang · Benjamin Swain · Haoyuan Qin · Deng · Ziwei Deng · Utku Erdoğanaras · Yue Zhao · Marko Tesic · Natasha Jaques · Jakob Foerster · Vincent Conitzer · José Hernández-Orallo · Dylan Hadfield-Menell · Joel Leibo |
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Poster
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Thu 16:30 |
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning Sergey Samsonov · Eric Moulines · Qi-Man Shao · Zhuo-Song Zhang · Alexey Naumov |
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Poster
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Fri 16:30 |
Many-shot Jailbreaking Cem Anil · Esin DURMUS · Nina Panickssery · Mrinank Sharma · Joe Benton · Sandipan Kundu · Joshua Batson · Meg Tong · Jesse Mu · Daniel Ford · Francesco Mosconi · Rajashree Agrawal · Rylan Schaeffer · Naomi Bashkansky · Samuel Svenningsen · Mike Lambert · Ansh Radhakrishnan · Carson Denison · Evan Hubinger · Yuntao Bai · Trenton Bricken · Timothy Maxwell · Nicholas Schiefer · James Sully · Alex Tamkin · Tamera Lanham · Karina Nguyen · Tomek Korbak · Jared Kaplan · Deep Ganguli · Samuel Bowman · Ethan Perez · Roger Grosse · David Duvenaud |