Panel
Featured Papers Panels 1B
Virtual
Moderators: Tong Zhang · Bo Dai · Roy Fox · Dimitris Samaras
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