Panel
Featured Papers Panels 5B
Virtual
Moderators: Arash Vahdat · Hyun Oh Song · Amitai Armon · Zhihui Zhu
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 5B-1
Devansh Arpit · Xiaojun Xu · Zifan Shi · Ivan Skorokhodov · Shayan Shekarforoush · Zhan Tong · Yiqun Wang · Shichong Peng · Linyi Li · Ivan Skorokhodov · Huan Wang · Yibing Song · David Lindell · Yinghao Xu · Seyed Alireza Moazenipourasil · Sergey Tulyakov · Peter Wonka · Yiqun Wang · Ke Li · David Fleet · Yujun Shen · Yingbo Zhou · Bo Li · Jue Wang · Peter Wonka · Marcus Brubaker · Caiming Xiong · Limin Wang · Deli Zhao · Qifeng Chen · Dit-Yan Yeung
- [ 65136 ] EpiGRAF: Rethinking training of 3D GANs
- [ 65137 ] CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
- [ 65138 ] HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
- [ 65139 ] Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
- [ 65140 ] Residual Multiplicative Filter Networks for Multiscale Reconstruction
- [ 65141 ] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
- [ 65142 ] LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
- [ 65143 ] Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Q&A on RocketChat immediately following Lightning Talks
Panel 5B-1: Convergence for score-based… & Learning (Very) Simple…
Sitan Chen · Yixin Tan
Lightning Talks 5B-2
Conglong Li · Mohammad Azizmalayeri · Mojan Javaheripi · Pratik Vaishnavi · Jon Hasselgren · Hao Lu · Kevin Eykholt · Arshia Soltani Moakhar · Wenze Liu · Gustavo de Rosa · Nikolai Hofmann · Minjia Zhang · Zixuan Ye · Jacob Munkberg · Amir Rahmati · Arman Zarei · Subhabrata Mukherjee · Yuxiong He · Shital Shah · Reihaneh Zohrabi · Hongtao Fu · Tomasz Religa · Yuliang Liu · Mohammad Manzuri · Mohammad Hossein Rohban · Zhiguo Cao · Caio Cesar Teodoro Mendes · Sebastien Bubeck · Farinaz Koushanfar · Debadeepta Dey
- [ 65147 ] The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
- [ 65148 ] LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
- [ 65149 ] Your Out-of-Distribution Detection Method is Not Robust!
- [ 65151 ] SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
- [ 65152 ] Accelerating Certified Robustness Training via Knowledge Transfer
- [ 65155 ] Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Q&A on RocketChat immediately following Lightning Talks
Panel 5B-2: Training and Inference… & Elucidating the Design…
Andy Shih · Tero Karras
Lightning Talks 5B-3
Yanze Wu · Jie Xiao · Nianzu Yang · Jieyi Bi · Jian Yao · Yiting Chen · Qizhou Wang · Yangru Huang · Yongqiang Chen · Peixi Peng · Yuxin Hong · Xintao Wang · Feng Liu · Yining Ma · Qibing Ren · Xueyang Fu · Yonggang Zhang · Kaipeng Zeng · Jiahai Wang · GEN LI · Yonggang Zhang · Qitian Wu · Yifan Zhao · Chiyu Wang · Junchi Yan · Feng Wu · Yatao Bian · Xiaosong Jia · Ying Shan · Zhiguang Cao · Zheng-Jun Zha · Guangyao Chen · Tianjun Xiao · Han Yang · Jing Zhang · Jinbiao Chen · MA Kaili · Yonghong Tian · Junchi Yan · Chen Gong · Tong He · Binghui Xie · Yuan Sun · Francesco Locatello · Tongliang Liu · Yeow Meng Chee · David P Wipf · Tongliang Liu · Bo Han · Bo Han · Yanwei Fu · James Cheng · Zheng Zhang
- [ 65180 ] Watermarking for Out-of-distribution Detection
- [ 65181 ] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
- [ 65183 ] Self-supervised Amodal Video Object Segmentation
- [ 65184 ] Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
- [ 65185 ] Learning Substructure Invariance for Out-of-Distribution Molecular Representations
- [ 65187 ] Stochastic Window Transformer for Image Restoration
- [ 65188 ] Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain
- [ 65189 ] Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
- [ 65190 ] AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Q&A on RocketChat immediately following Lightning Talks
Panel 5B-3: Leveraging Factored Action… & Skills Regularized Task…
Minjong Yoo · Shengpu Tang
Lightning Talks 5B-4
Yuezhi Yang · Zeyu Yang · Yong Lin · Yi.shi Xu · Linan Yue · Tao Yang · Weixin Chen · Qi Liu · Jiaqi Chen · Dongsheng Wang · Baoyuan Wu · Yuwang Wang · Hao Pan · Shengyu Zhu · Zhenwei Miao · Yan Lu · Lu Tan · Bo Chen · Yichao Du · Haoqian Wang · Wei Li · Yanqing An · Ruiying Lu · Peng Cui · Nanning Zheng · Li Wang · Zhibin Duan · Xiatian Zhu · Mingyuan Zhou · Enhong Chen · Li Zhang
- [ 65193 ] Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples
- [ 65195 ] Visual Concepts Tokenization
- [ 65196 ] DARE: Disentanglement-Augmented Rationale Extraction
- [ 65197 ] HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
- [ 65198 ] ZIN: When and How to Learn Invariance Without Environment Partition?
- [ 65199 ] DeepInteraction: 3D Object Detection via Modality Interaction
- [ 65200 ] Discovering Design Concepts for CAD Sketches
Q&A on RocketChat immediately following Lightning Talks
Panel 5B-4: Predictive Querying for… & On the difficulty…
Alex Boyd · Jonas Mikhaeil