Workshop
|
|
Active Inverse Reinforcement Learning with Full Trajectories
Ondrej Bajgar · Dewi Gould · Jonathon Liu · Oliver Newcombe · Rohan Mitta · Jack Golden
|
|
Poster
|
Wed 16:30
|
Adaptive Sampling for Efficient Softmax Approximation
Tavor Baharav · Ryan Kang · Colin Sullivan · Mo Tiwari · Eric Luxenberg · David Tse · Mert Pilanci
|
|
Workshop
|
|
Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning
Mingxuan Li · Jungtaek Kim · Paul Leu
|
|
Poster
|
Wed 11:00
|
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
Daniel Haimovich · Dima Karamshuk · Fridolin Linder · Niek Tax · Milan Vojnovic
|
|
Poster
|
Fri 11:00
|
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao · Mingzhang Yin · Maytal Saar-Tsechansky
|
|
Poster
|
Fri 11:00
|
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
Weilin Lin · Li Liu · Shaokui Wei · Jianze Li · Hui Xiong
|
|
Workshop
|
|
Adaptive Transductive Inference via Sequential Experimental Design with Contextual Retention
Tareq Si Salem
|
|
Workshop
|
|
Hi-fi functional priors by learning activations
Marcin Sendera · Amin Sorkhei · Tomasz Kuśmierczyk
|
|
Workshop
|
|
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
Sebastian Ober · Sam Power · Tom Diethe · Henry Moss
|
|
Poster
|
Fri 16:30
|
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
Huzi Cheng · Joshua Brown
|
|
Poster
|
Fri 11:00
|
Active preference learning for ordering items in- and out-of-sample
Herman Bergström · Emil Carlsson · Devdatt Dubhashi · Fredrik Johansson
|
|
Poster
|
Wed 11:00
|
Transductive Active Learning: Theory and Applications
Jonas Hübotter · Bhavya · Lenart Treven · Yarden As · Andreas Krause
|
|