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949 Results
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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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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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Wed 11:00 |
Offline Multitask Representation Learning for Reinforcement Learning Haque Ishfaq · Thanh Nguyen-Tang · Songtao Feng · Raman Arora · Mengdi Wang · Ming Yin · Doina Precup |
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Poster
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Fri 16:30 |
Amortized Planning with Large-Scale Transformers: A Case Study on Chess Anian Ruoss · Grégoire Delétang · Sourabh Medapati · Jordi Grau-Moya · Kevin Li · Elliot Catt · John Reid · Cannada Lewis · Joel Veness · Tim Genewein |
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Poster
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Thu 11:00 |
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge Fang Dong · Mengyi Chen · Jixian Zhou · Yubin Shi · Yixuan Chen · Mingzhi Dong · Yujiang Wang · Dongsheng Li · Xiaochen Yang · Rui Zhu · Robert Dick · Qin Lv · Fan Yang · Tun Lu · Ning Gu · Li Shang |
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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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Thu 11:00 |
Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong |
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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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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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Wed 16:30 |
MatFormer: Nested Transformer for Elastic Inference Fnu Devvrit · Sneha Kudugunta · Aditya Kusupati · Tim Dettmers · Kaifeng Chen · Inderjit Dhillon · Yulia Tsvetkov · Hanna Hajishirzi · Sham Kakade · Ali Farhadi · Prateek Jain |
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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 |
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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 |