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Spotlight
Tue Jul 19 11:30 PM -- 11:35 PM (KST) @ Room 327 - 329
Structural Entropy Guided Graph Hierarchical Pooling
In Deep Learning
Junran Wu · Xueyuan Chen · Ke Xu · Shangzhe Li
Spotlight
Tue Jul 19 11:35 PM -- 11:40 PM (KST) @ Room 327 - 329
Self-Supervised Representation Learning via Latent Graph Prediction
In Deep Learning
Yaochen Xie · Zhao Xu · Shuiwang Ji
Spotlight
Tue Jul 19 11:40 PM -- 11:45 PM (KST) @ Room 327 - 329
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
In Deep Learning
Shiyong Lan · Yitong Ma · Weikang Huang · Wenwu Wang · Hongyu Yang · pyang li
Spotlight
Tue Jul 19 11:45 PM -- 11:50 PM (KST) @ Room 327 - 329
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
In Deep Learning
Tianlong Chen · Xuxi Chen · Xiaolong Ma · Yanzhi Wang · Zhangyang “Atlas” Wang
Spotlight
Tue Jul 19 11:50 PM -- 11:55 PM (KST) @ Room 327 - 329
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
In Deep Learning
Ling Yang · Shenda Hong
Spotlight
Tue Jul 19 11:55 PM -- 12:00 AM (KST) @ Room 327 - 329
Analyzing and Mitigating Interference in Neural Architecture Search
In Deep Learning
Jin Xu · Xu Tan · Kaitao Song · Renqian Luo · Yichong Leng · Tao Qin · Tie-Yan Liu · Jian Li
Spotlight
Wed Jul 20 12:00 AM -- 12:05 AM (KST) @ Room 327 - 329
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
In Deep Learning
Darshan Thaker · Paris Giampouras · Rene Vidal
Oral
Wed Jul 20 12:05 AM -- 12:25 AM (KST) @ Room 327 - 329
Unified Scaling Laws for Routed Language Models
In Deep Learning
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan
Spotlight
Wed Jul 20 12:25 AM -- 12:30 AM (KST) @ Room 327 - 329
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
In Deep Learning
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
Spotlight
Wed Jul 20 12:30 AM -- 12:35 AM (KST) @ Room 327 - 329
A deep convolutional neural network that is invariant to time rescaling
In Deep Learning
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
Spotlight
Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Room 327 - 329
LyaNet: A Lyapunov Framework for Training Neural ODEs
In Deep Learning
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
Spotlight
Wed Jul 20 12:40 AM -- 12:45 AM (KST) @ Room 327 - 329
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
In Deep Learning
Mark Collier · Rodolphe Jenatton · Efi Kokiopoulou · Jesse Berent
Spotlight
Wed Jul 20 12:45 AM -- 12:50 AM (KST) @ Room 327 - 329
On Collective Robustness of Bagging Against Data Poisoning
In Deep Learning
Ruoxin Chen · Zenan Li · Jie Li · Junchi Yan · Chentao Wu
Spotlight
Wed Jul 20 12:50 AM -- 12:55 AM (KST) @ Room 327 - 329
Hindering Adversarial Attacks with Implicit Neural Representations
In Deep Learning
Andrei A Rusu · Dan Andrei Calian · Sven Gowal · Raia Hadsell
Spotlight
Wed Jul 20 12:55 AM -- 01:00 AM (KST) @ Room 327 - 329
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
In Deep Learning
HeeSun Bae · Seungjae Shin · Byeonghu Na · JoonHo Jang · Kyungwoo Song · IL CHUL MOON