Panel
Featured Papers Panels 1B
Moderators: Bo Dai ⋅ Dimitris Samaras ⋅ Tong Zhang ⋅ Roy Fox
Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to https://slido.com and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.
Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.
Lightning Talks 1B-1
Qitian Wu ⋅ Runlin Lei ⋅ Rongqin Chen ⋅ Luca Pinchetti ⋅ Yangze Zhou ⋅ Abhinav Kumar ⋅ Hans Hao-Hsun Hsu ⋅ Wentao Zhao ⋅ Chenhao Tan ⋅ Zhen Wang ⋅ Shenghui Zhang ⋅ Yuesong Shen ⋅ Tommaso Salvatori ⋅ Gitta Kutyniok ⋅ Zenan Li ⋅ Amit Sharma ⋅ Leong Hou U ⋅ Yordan Yordanov ⋅ Christian Tomani ⋅ Bruno Ribeiro ⋅ Yaliang Li ⋅ David P Wipf ⋅ Daniel Cremers ⋅ Bolin Ding ⋅ Beren Millidge ⋅ Ye Li ⋅ Yuhang Song ⋅ Junchi Yan ⋅ Zhewei Wei ⋅ Thomas Lukasiewicz
- [ 64787 ] OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
- [ 64788 ] Predictive Coding beyond Gaussian Distributions
- [ 64790 ] What Makes Graph Neural Networks Miscalibrated?
- [ 64791 ] NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
- [ 64792 ] Redundancy-Free Message Passing for Graph Neural Networks
- [ 64794 ] EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
- [ 64796 ] Probing Classifiers are Unreliable for Concept Removal and Detection
Q&A on RocketChat immediately following Lightning Talks
Panel 1B-1: Online Minimax Multiobjective… & Minimax-Optimal Multi-Agent RL…
Gen Li ⋅ Georgy Noarov
Lightning Talks 1B-2
Eugene Golikov ⋅ Nils M. Kriege ⋅ Qing Xiu ⋅ Kai Han ⋅ Greg Yang ⋅ Jing Tang ⋅ Shuang Cui ⋅ He Huang
- [ 64803 ] Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
- [ 64804 ] Non-Gaussian Tensor Programs
- [ 64808 ] Chromatic Correlation Clustering, Revisited
Q&A on RocketChat immediately following Lightning Talks
Panel 1B-2: Multi-Game Decision Transformers… & A Continuous Time…
Andrew Campbell ⋅ Kuang-Huei Lee
Lightning Talks 1B-3
Chaofei Wang ⋅ Qixun Wang ⋅ Jing Xu ⋅ Long-Kai Huang ⋅ Xi Weng ⋅ Fei Ye ⋅ Harsh Rangwani ⋅ shrinivas ramasubramanian ⋅ Yifei Wang ⋅ Qisen Yang ⋅ Xu Luo ⋅ Lei Huang ⋅ Adrian G. Bors ⋅ Ying Wei ⋅ Xinglin Pan ⋅ Sho Takemori ⋅ Hong Zhu ⋅ Rui Huang ⋅ Lei Zhao ⋅ Yisen Wang ⋅ Kato Takashi ⋅ Shiji Song ⋅ Yanan Li ⋅ Rao Anwer ⋅ Yuhei Umeda ⋅ Salman Khan ⋅ Gao Huang ⋅ Wenjie Pei ⋅ Fahad Shahbaz Khan ⋅ Venkatesh Babu R ⋅ Zenglin Xu
- [ 64834 ] Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
- [ 64835 ] Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
- [ 64836 ] An Investigation into Whitening Loss for Self-supervised Learning
- [ 64837 ] Task-Free Continual Learning via Online Discrepancy Distance Learning
- [ 64838 ] Efficient Knowledge Distillation from Model Checkpoints
- [ 64839 ] Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
- [ 64841 ] Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Q&A on RocketChat immediately following Lightning Talks
Panel 1B-3: Shield Decentralization for… & DHRL: A Graph-Based…
Seungjae Lee ⋅ Daniel Melcer
Lightning Talks 1B-4
Andrei Atanov ⋅ Shiqi Yang ⋅ Wanshan Li ⋅ Yongchang Hao ⋅ Ziquan Liu ⋅ Jiaxin Shi ⋅ Anton Plaksin ⋅ Jiaxiang Chen ⋅ Ziqi Pan ⋅ yaxing wang ⋅ Yuxin Liu ⋅ Stepan Martyanov ⋅ Alessandro Rinaldo ⋅ Yuhao Zhou ⋅ Li Niu ⋅ Qingyuan Yang ⋅ Andrei Filatov ⋅ Yi Xu ⋅ Liqing Zhang ⋅ Lili Mou ⋅ Ruomin Huang ⋅ Teresa Yeo ⋅ kai wang ⋅ Daren Wang ⋅ Jessica Hwang ⋅ Yuanhong Xu ⋅ Qi Qian ⋅ Hu Ding ⋅ Michalis Titsias ⋅ Shangling Jui ⋅ Ajay Sohmshetty ⋅ Lester Mackey ⋅ Joost van de Weijer ⋅ Hao Li ⋅ Amir Zamir ⋅ Xiangyang Ji ⋅ Antoni Chan ⋅ Rong Jin
- [ 64842 ] Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
- [ 64843 ] Improved Fine-Tuning by Better Leveraging Pre-Training Data
- [ 64845 ] Task Discovery: Finding the Tasks that Neural Networks Generalize on
- [ 64846 ] Coresets for Relational Data and The Applications
- [ 64847 ] Teacher Forcing Recovers Reward Functions for Text Generation
- [ 64849 ] UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator
- [ 64850 ] Gradient Estimation with Discrete Stein Operators
- [ 64851 ] Detecting Abrupt Changes in Sequential Pairwise Comparison Data
- [ 64852 ] Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Q&A on RocketChat immediately following Lightning Talks
Panel 1B-4: Video PreTraining (VPT):… & Energy-Based Contrastive Learning…
Beomsu Kim ⋅ Bowen Baker