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In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD11 None
Progress measures for grokking via mechanistic interpretability
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Neel Nanda · Lawrence Chan · Tom Lieberum · Jess Smith · Jacob Steinhardt
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Localized Randomized Smoothing for Collective Robustness Certification
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Jan Schuchardt · Tom Wollschläger · Aleksandar Bojchevski · Stephan Günnemann
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD11 None
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Eoin Kenny · Mycal Tucker · Julie Shah
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD11 None
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Tuomas Oikarinen · Tsui-Wei Weng
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD11 None
Model-based Causal Bayesian Optimization
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Scott Sussex · Anastasia Makarova · Andreas Krause
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Yuxin Fang · Li Dong · Hangbo Bao · Xinggang Wang · Furu Wei
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD11 None
SimPer: Simple Self-Supervised Learning of Periodic Targets
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Yuzhe Yang · Xin Liu · Jiang Wu · Silviu Borac · Dina Katabi · Ming-Zher Poh · Daniel McDuff
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
In Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Samuel Lavoie · Christos Tsirigotis · Max Schwarzer · Ankit Vani · Mikhail Noukhovitch · Kenji Kawaguchi · Aaron Courville