Panel
Featured Papers Panels 3B
Moderators: Marco Mondelli ⋅ Siddharth N ⋅ Tatiana Likhomanenko ⋅ Emmanuel Kahembwe
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 3B-1
Tianying Ji ⋅ Tongda Xu ⋅ Giulia Denevi ⋅ Aibek Alanov ⋅ Martin Wistuba ⋅ Wei Zhang ⋅ Yuesong Shen ⋅ Massimiliano Pontil ⋅ Vadim Titov ⋅ Yan Wang ⋅ Yu Luo ⋅ Daniel Cremers ⋅ Yanjun Han ⋅ Arlind Kadra ⋅ Dailan He ⋅ Josif Grabocka ⋅ Zhengyuan Zhou ⋅ Fuchun Sun ⋅ Carlo Ciliberto ⋅ Dmitry Vetrov ⋅ Mingxuan Jing ⋅ Chenjian Gao ⋅ Aaron Flores ⋅ Tsachy Weissman ⋅ Han Gao ⋅ Fengxiang He ⋅ Kunzan Liu ⋅ Wenbing Huang ⋅ Hongwei Qin
- [ 64963 ] Conditional Meta-Learning of Linear Representations
- [ 64965 ] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
- [ 64966 ] Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
- [ 64968 ] Deep Combinatorial Aggregation
- [ 64969 ] When to Update Your Model: Constrained Model-based Reinforcement Learning
- [ 64970 ] HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
- [ 64972 ] Multi-Sample Training for Neural Image Compression
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-1: Censored Quantile Regression… & Deconfounded Representation Similarity…
Tim Pearce ⋅ Tianyu Cui
Lightning Talks 3B-2
Yu Huang ⋅ Tero Karras ⋅ Maxim Kodryan ⋅ Shiau Hong Lim ⋅ Shudong Huang ⋅ Ziyu Wang ⋅ Siqiao Xue ⋅ ILYAS MALIK ⋅ Ekaterina Lobacheva ⋅ Miika Aittala ⋅ Hongjie Wu ⋅ Yuhao Zhou ⋅ Yingbin Liang ⋅ Xiaoming Shi ⋅ Jun Zhu ⋅ Maksim Nakhodnov ⋅ Timo Aila ⋅ Yazhou Ren ⋅ James Zhang ⋅ Longbo Huang ⋅ Dmitry Vetrov ⋅ Ivor Tsang ⋅ Hongyuan Mei ⋅ Samuli Laine ⋅ Zenglin Xu ⋅ Wentao Feng ⋅ Jiancheng Lv
- [ 64973 ] Provable Generalization of Overparameterized Meta-learning Trained with SGD
- [ 64974 ] Elucidating the Design Space of Diffusion-Based Generative Models
- [ 64975 ] HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
- [ 64977 ] Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
- [ 64978 ] Fast Instrument Learning with Faster Rates
- [ 64980 ] Multi-view Subspace Clustering on Topological Manifold
- [ 64981 ] Distributional Reinforcement Learning for Risk-Sensitive Policies
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-2: Exponential Separations in… & The Neural Covariance…
Aaron Zweig ⋅ Mihai Nica
Lightning Talks 3B-3
Sitao Luan ⋅ Zhiyuan You ⋅ Ruofan Liu ⋅ Linhao Qu ⋅ Yuwei Fu ⋅ Jiaxi Wang ⋅ Chunyu Wei ⋅ Jian Liang ⋅ xiaoyuan luo ⋅ Di Wu ⋅ Yun Lin ⋅ Lei Cui ⋅ Ji Wu ⋅ Chenqing Hua ⋅ Yujun Shen ⋅ Qincheng Lu ⋅ XIANGLIN YANG ⋅ Benoit Boulet ⋅ Manning Wang ⋅ Di Liu ⋅ Lei Huang ⋅ Fei Wang ⋅ Kai Yang ⋅ Jiaqi Zhu ⋅ Jin Song Dong ⋅ Zhijian Song ⋅ Xin Lu ⋅ Mingde Zhao ⋅ Shuyuan Zhang ⋅ Yu Zheng ⋅ Xiao-Wen Chang ⋅ Xinyi Le ⋅ Doina Precup
- [ 65007 ] Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
- [ 65008 ] Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
- [ 65009 ] Revisiting Heterophily For Graph Neural Networks
- [ 65010 ] Understanding the Failure of Batch Normalization for Transformers in NLP
- [ 65011 ] A Unified Model for Multi-class Anomaly Detection
- [ 65013 ] A Closer Look at Offline RL Agents
- [ 65014 ] Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-3: A Multi-Resolution Framework… & Staircase Attention for…
Da JU ⋅ Fabian Falck
Lightning Talks 3B-4
Guanghu Yuan ⋅ Yijing Liu ⋅ Li Yang ⋅ Yongri Piao ⋅ Zekang Zhang ⋅ Yaxin Xiao ⋅ Lin Chen ⋅ Yinqi Li ⋅ Fajie Yuan ⋅ Guangyu Gao ⋅ Hong Chang ⋅ Qinxian Liu ⋅ Zhixiang Wei ⋅ Qingqing Ye ⋅ Chenyang Lu ⋅ Jian Meng ⋅ Haibo Hu ⋅ Xin Jin ⋅ Yudong Li ⋅ Miao Zhang ⋅ Zhiyuan Fang ⋅ Jae-sun Seo ⋅ Bingpeng MA ⋅ Jian-Wei Zhang ⋅ Shiguang Shan ⋅ Haozhe Feng ⋅ Huaian Chen ⋅ Deliang Fan ⋅ Huadi Zheng ⋅ Jianbo Jiao ⋅ Huchuan Lu ⋅ Beibei Kong ⋅ Miao Zheng ⋅ Chengfang Fang ⋅ Shujie Li ⋅ Zhongwei Wang ⋅ Yunchao Wei ⋅ Xilin Chen ⋅ Jie Shi ⋅ Kai Chen ⋅ Zihan Zhou ⋅ Lei Chen ⋅ Yi Jin ⋅ Wei Chen ⋅ Min Yang ⋅ Chenyun YU ⋅ Bo Hu ⋅ Zang Li ⋅ Yu Xu ⋅ Xiaohu Qie
- [ 65015 ] Get More at Once: Alternating Sparse Training with Gradient Correction
- [ 65016 ] Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
- [ 65019 ] Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
- [ 65020 ] MExMI: Pool-based Active Model Extraction Crossover Membership Inference
- [ 65021 ] Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
- [ 65022 ] Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
- [ 65023 ] Optimal Positive Generation via Latent Transformation for Contrastive Learning
- [ 65025 ] Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-4: Learning and Covering… & Asymptotics of smoothed…
Jonathan Niles-Weed ⋅ Konstantinos Stavropoulos