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Poster
Fri 11:00 Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
Poster
Fri 11:00 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu · Jun Wang · Jianyong Wang · Wei Zhang
Poster
Wed 11:00 Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang · Sharon Li
Poster
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang · Yuan Zuo · Fengzhi Li · Junjie Wu
Poster
Fri 11:00 Continuous Partitioning for Graph-Based Semi-Supervised Learning
Chester Holtz · Pengwen Chen · Zhengchao Wan · Chung-Kuan Cheng · Gal Mishne
Poster
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang · Skyler Seto · Samira Abnar · David Grangier · Navdeep Jaitly · Joshua Susskind
Poster
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
Poster
Thu 16:30 Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
Poster
Wed 11:00 Zero-Shot Transfer of Neural ODEs
Tyler Ingebrand · Adam Thorpe · Ufuk Topcu
Poster
Thu 16:30 Enhancing Domain Adaptation through Prompt Gradient Alignment
Viet Hoang Phan · Tung Lam Tran · Quyen Tran · Trung Le
Poster
Wed 11:00 A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
Workshop
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo · Mostafa ElAraby · JONAS NGNAWE · Yann Pequignot · Frederic Precioso · Christian Gagné