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Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 327 - 329
Structural Entropy Guided Graph Hierarchical Pooling
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 327 - 329
Self-Supervised Representation Learning via Latent Graph Prediction
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 327 - 329
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 327 - 329
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Analyzing and Mitigating Interference in Neural Architecture Search
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 327 - 329
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 327 - 329
Unified Scaling Laws for Routed Language Models
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 327 - 329
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 327 - 329
A deep convolutional neural network that is invariant to time rescaling
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Paper PDF]
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
LyaNet: A Lyapunov Framework for Training Neural ODEs
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
On Collective Robustness of Bagging Against Data Poisoning
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
Hindering Adversarial Attacks with Implicit Neural Representations
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model