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Workshop
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Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou · Kiran Thekumparampil · Michael Shavlovsky · Giulia Fanti · Sujay Sanghavi
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Poster
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Thu 4:30
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CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen · Xingzhuo Guo · Yu Zhang · Jianmin Wang · Mingsheng Long
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Poster
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Thu 2:30
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Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo · Sung Ju Hwang
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Workshop
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Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah · Andrew Ilyas · Aleksander Madry
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Workshop
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Causal models predict average outcomes, not individual effects
Benedikt Höltgen · Robert C. Williamson
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Workshop
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Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Rylan Schaeffer · Hailey Schoelkopf · Brando Miranda · Gabriel Mukobi · Varun Madan · Adam Ibrahim · Herbie Bradley · Stella Biderman · Sanmi Koyejo
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Workshop
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Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Rylan Schaeffer · Hailey Schoelkopf · Brando Miranda · Gabriel Mukobi · Varun Madan · Adam Ibrahim · Herbie Bradley · Stella Biderman · Sanmi Koyejo
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Poster
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Thu 2:30
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Latent variable model for high-dimensional point process with structured missingness
Maksim Sinelnikov · Manuel Haussmann · Harri Lähdesmäki
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Poster
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Tue 4:30
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Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah · Andrew Ilyas · Aleksander Madry
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Workshop
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Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jingtan Wang · Xiaoqiang Lin · Rui Qiao · Chuan-Sheng Foo · Bryan Kian Hsiang Low
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Poster
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Thu 2:30
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Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
Ludwig Winkler · Lorenz Richter · Manfred Opper
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Workshop
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Out-Of-Context Prompting Boosts Fairness and Robustness in Large Language Model Predictions
Leonardo Cotta · Chris Maddison
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