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Workshop
Sun 9:30 Machine learning-guided sequence design for mRNA and gene therapy
Georg Seelig
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
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 A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
Poster
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
Workshop
Sat 9:00 Andreea Bobu: Learning a Lot from a Little: How Structure Enables Efficient and Human-Aligned Robot Learning
Poster
Fri 16:30 Scaling laws for learning with real and surrogate data
Ayush Jain · Andrea Montanari · Eren Sasoglu
Poster
Fri 11:00 Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey · Mikhail Petrov · Michael Hughes
Poster
Thu 16:30 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
Vijaya Raghavan Ramkumar · Elahe Arani · Bahram Zonooz
Poster
Thu 16:30 Federated Learning over Connected Modes
Dennis Grinwald · Philipp Wiesner · Shinichi Nakajima
Poster
Fri 11:00 ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
jingnan zheng · Han Wang · An Zhang · Nguyen Duy Tai · Jun Sun · Tat-Seng Chua
Poster
Thu 16:30 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang