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119 Results
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Poster
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Wed 11:00 |
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen · Leo Marchyok · Sanghyun Hong · Jonas Geiping · Tom Goldstein · Nicholas Carlini |
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Workshop
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Sat 11:15 |
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha · Abbavaram Gowtham Reddy · Abhinav Kumar · Saketh Bachu · Vineeth N Balasubramanian · Amit Sharma |
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Workshop
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Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha · Abbavaram Gowtham Reddy · Abhinav Kumar · Saketh Bachu · Vineeth N Balasubramanian · Amit Sharma |
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Poster
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Thu 16:30 |
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong |
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Workshop
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Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks Gregory Kang Ruey Lau · Wenyang Hu · Liu Diwen · Chen Jizhuo · See-Kiong Ng · Bryan Kian Hsiang Low |
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Poster
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Thu 16:30 |
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction Renze Chen · Zhuofeng Wang · Beiquan Cao · Tong Wu · Size Zheng · Xiuhong Li · Xuechao Wei · Shengen Yan · Meng Li · Yun Liang |
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Workshop
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Gradient-free variational learning with conditional mixture networks Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley |
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Poster
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Thu 11:00 |
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai · Justin Domke · Daniel Sheldon |
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Workshop
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Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data? Mingu Kang · Dongseok Lee · Woojin Cho · Kookjin Lee · Anthony Gruber · Nathaniel Trask · Youngjoon Hong · Noseong Park |
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Poster
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Wed 16:30 |
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step Owen Dugan · Donato Jiménez-Benetó · Charlotte Loh · Zhuo Chen · Rumen Dangovski · Marin Soljacic |
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Workshop
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Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? Michael-Andrei Panaitescu-Liess · Zora Che · Bang An · Yuancheng Xu · Pankayaraj Pathmanathan · Souradip Chakraborty · Sicheng Zhu · Tom Goldstein · Furong Huang |
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Poster
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Thu 11:00 |
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference Senmao Li · Taihang Hu · Joost van de Weijer · Fahad Shahbaz Khan · Tao Liu · Linxuan Li · Shiqi Yang · Yaxing Wang · Ming-Ming Cheng · jian Yang |