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Workshop
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
Poster
Fri 16:30 Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
Kaibo Zhang · Yunjuan Wang · Raman Arora
Workshop
Active Learning for Neural PDE Solvers
Daniel Musekamp · Marimuthu Kalimuthu · David Holzmüller · Makoto Takamoto · Mathias Niepert
Workshop
An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer · Stefan M. Wild
Poster
Thu 16:30 Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Luigi Seminara · Giovanni Maria Farinella · Antonino Furnari
Workshop
SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization
Hanxi Guo · Siyuan Cheng · Guanhong Tao · Guangyu Shen · Zhuo Zhang · Shengwei An · Kaiyuan Zhang · Xiangyu Zhang
Poster
Thu 16:30 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
Ronast Subedi · Lu Wei · Wenhan Gao · Shayok Chakraborty · Yi Liu
Poster
Wed 16:30 Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani · Panagiotis Tigas · Stefan Bauer · Adam Foster
Poster
Wed 11:00 A Cross-Domain Benchmark for Active Learning
Thorben Werner · Johannes Burchert · Maximilian Stubbemann · Lars Schmidt-Thieme
Poster
Wed 11:00 Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
Sebastiaan De Peuter · Shibei Zhu · Yujia Guo · Andrew Howes · Samuel Kaski
Poster
Wed 11:00 Clustering with Non-adaptive Subset Queries
Hadley Black · Euiwoong Lee · Arya Mazumdar · Barna Saha
Workshop
Variational Search Distributions
Daniel Steinberg · Rafael Oliveira · Cheng Soon Ong · Edwin Bonilla